STIVAX INNOVATIVE THERAPY: It goes without saying that tried and tested methods are the best therapy in medicine, with innovative, clinically-tested approaches providing a valuable complement for patient therapies. This is the basis for STIVAX therapy. The STIVAX NEUROSTIMULATION THERAPY is a conservative treatment for Chronic Pain and PAD patients extends walking distances to a multiple of original values and supports wound healing. The STIVAX STIMULATOR is a integral component of STIVAX therapy. The mechanism of action is based on the stimulation of the vagus nerve.
For Reference watch my YouTube Video - https://youtu.be/NqvNFwa0hQc
Hey Everyone!
This is my complete talk in a virtual conference for cybersecurity researchers that has been hosted by Bsides Maharashtra and thanks to them that they provided me an opportunity to share my thoughts and knowledge with passionate and budding cybersecurity researchers, Hackers, Bug Hunters, and geeks. My talk is all about the detailed explanation of AI in Cyber Security and this should be listened to by every Cyber Sec Person who wants to learn about How AI Can Help In Cyber Security. I have explained the most and every basic to advance information. So do give it a look and understand the concepts and share as much as you can. Thank you Bsides Maharashtra for inviting me. I am happy and excited to be a part of your event.
If you want to invite me for a webinar or conference connect
mail: hello@priyanshuratnakar.com or priyanshuratnakar@protonmail.com
vent details
Date - 25th to 27th November 2020
CTF
Workshop
Speaker session
website - https://bsidesmaharashtra.com/
Security BSides is a community-driven framework for building events by and for information security community members. These events are already happening in major cities all over the world! We are responsible for organizing an independent BSides approved event for Delhi, India. We’re a volunteer organized event (we have no paid staff), and we truly strive to keep information accessible for everyone.
The idea behind the Security BSides Delhi is to organize an Information Security gathering where professionals, experts, researchers, and InfoSec enthusiasts come together to discuss. It creates opportunities for individuals to both presents and participates in an intimate atmosphere that encourages collaboration. It is an intense event with discussions, demos, and interaction from participants. It is where conversations for the next-big-thing are happening.
Feel free to use the slide but give credit somewhere :)
Achieving Algorithmic Transparency with Shapley Additive Explanations (H2O Lo...Sri Ambati
Abstract:
Explainability in the age of the EU GDPR is becoming an increasingly pertinent consideration for Machine Learning. At QuantumBlack, we address the traditional Accuracy vs. Interpretability trade-off, by leveraging modern XAI techniques such as LIME and SHAP, to enable individualised explanations without necessary limiting the utility and performance of the otherwise ‘black-box’ models. The talk focuses on Shapley additive explanations (Lundberg et al. 2017) that integrate Shapley values from the Game Theory for consistent and locally accurate explanations; provides illustrative examples and touches upon the wider XAI theory.
Bio:
Dr Torgyn Shaikhina is a Data Scientist at QuantumBlack, STEM Ambassador, and the founder of the Next Generation Programmers outreach initiative. Her background is in decision support systems for Healthcare and Biomedical Engineering with a focus on Machine Learning with limited information.
The Future of Security: How Artificial Intelligence Will Impact UsPECB
For decades, the security profession has relied on the best technology we had at the time to deflect the onslaught of what we faced daily in the way of virus and malware attacks. Now, as predicted by Thomas Kuhn in his book “The Structure of Scientific Revolutions, we’re seeing the dawn of a new day where AI’s machine learning and advanced mathematical algorithms now offer validated deflection rates, pre-execution, in the realm of 99%. This session will explore this new paradigm and how it will impact our future.
Main points covered:
• How did our profession change in the world of reactive detection?
• How to escape the inertia that held us, prisoners?
• What is the power of AI and machine learning?
• What are the risks of this new technology?
Presenter:
Our presenter for this webinar, John McClurg serves as Vice President and Ambassador-At-Large of Cylance, where he is responsible for building Security and Trust programs & operational excellence efforts. Prior to Cylance, he served as the CSO of Dell, Honeywell, and Lucent and in the U.S. Intelligence Community, as a twice-decorated member of the Federal Bureau of Investigation (FBI). He also served as a Deputy Branch Chief of CIA where he helped to establish the new Counterespionage Group and was responsible for the management of complex counterespionage investigations. McClurg was voted one of America’s 25 most influential security professionals.
Organizer: Ardian Berisha
Date: October 25th, 2018
Recorded webinar link:
Talk presented at the Analytics Frontiers Conference in Charlotte on March 21. The presentation evaluates opportunities and risks of AI and how consumers, businesses, society and governments can mitigate some of the risks.
For Reference watch my YouTube Video - https://youtu.be/NqvNFwa0hQc
Hey Everyone!
This is my complete talk in a virtual conference for cybersecurity researchers that has been hosted by Bsides Maharashtra and thanks to them that they provided me an opportunity to share my thoughts and knowledge with passionate and budding cybersecurity researchers, Hackers, Bug Hunters, and geeks. My talk is all about the detailed explanation of AI in Cyber Security and this should be listened to by every Cyber Sec Person who wants to learn about How AI Can Help In Cyber Security. I have explained the most and every basic to advance information. So do give it a look and understand the concepts and share as much as you can. Thank you Bsides Maharashtra for inviting me. I am happy and excited to be a part of your event.
If you want to invite me for a webinar or conference connect
mail: hello@priyanshuratnakar.com or priyanshuratnakar@protonmail.com
vent details
Date - 25th to 27th November 2020
CTF
Workshop
Speaker session
website - https://bsidesmaharashtra.com/
Security BSides is a community-driven framework for building events by and for information security community members. These events are already happening in major cities all over the world! We are responsible for organizing an independent BSides approved event for Delhi, India. We’re a volunteer organized event (we have no paid staff), and we truly strive to keep information accessible for everyone.
The idea behind the Security BSides Delhi is to organize an Information Security gathering where professionals, experts, researchers, and InfoSec enthusiasts come together to discuss. It creates opportunities for individuals to both presents and participates in an intimate atmosphere that encourages collaboration. It is an intense event with discussions, demos, and interaction from participants. It is where conversations for the next-big-thing are happening.
Feel free to use the slide but give credit somewhere :)
Achieving Algorithmic Transparency with Shapley Additive Explanations (H2O Lo...Sri Ambati
Abstract:
Explainability in the age of the EU GDPR is becoming an increasingly pertinent consideration for Machine Learning. At QuantumBlack, we address the traditional Accuracy vs. Interpretability trade-off, by leveraging modern XAI techniques such as LIME and SHAP, to enable individualised explanations without necessary limiting the utility and performance of the otherwise ‘black-box’ models. The talk focuses on Shapley additive explanations (Lundberg et al. 2017) that integrate Shapley values from the Game Theory for consistent and locally accurate explanations; provides illustrative examples and touches upon the wider XAI theory.
Bio:
Dr Torgyn Shaikhina is a Data Scientist at QuantumBlack, STEM Ambassador, and the founder of the Next Generation Programmers outreach initiative. Her background is in decision support systems for Healthcare and Biomedical Engineering with a focus on Machine Learning with limited information.
The Future of Security: How Artificial Intelligence Will Impact UsPECB
For decades, the security profession has relied on the best technology we had at the time to deflect the onslaught of what we faced daily in the way of virus and malware attacks. Now, as predicted by Thomas Kuhn in his book “The Structure of Scientific Revolutions, we’re seeing the dawn of a new day where AI’s machine learning and advanced mathematical algorithms now offer validated deflection rates, pre-execution, in the realm of 99%. This session will explore this new paradigm and how it will impact our future.
Main points covered:
• How did our profession change in the world of reactive detection?
• How to escape the inertia that held us, prisoners?
• What is the power of AI and machine learning?
• What are the risks of this new technology?
Presenter:
Our presenter for this webinar, John McClurg serves as Vice President and Ambassador-At-Large of Cylance, where he is responsible for building Security and Trust programs & operational excellence efforts. Prior to Cylance, he served as the CSO of Dell, Honeywell, and Lucent and in the U.S. Intelligence Community, as a twice-decorated member of the Federal Bureau of Investigation (FBI). He also served as a Deputy Branch Chief of CIA where he helped to establish the new Counterespionage Group and was responsible for the management of complex counterespionage investigations. McClurg was voted one of America’s 25 most influential security professionals.
Organizer: Ardian Berisha
Date: October 25th, 2018
Recorded webinar link:
Talk presented at the Analytics Frontiers Conference in Charlotte on March 21. The presentation evaluates opportunities and risks of AI and how consumers, businesses, society and governments can mitigate some of the risks.
AI, Machine Learning, and Data Science ConceptsDan O'Leary
An overview of AI, Machine Learning, and Data Science concepts, contrasting popular conceptions of AI to state-of-the-art methods in Data Science. An introduction to Machine Learning will compare supervised and unsupervised methods, give high-level descriptions of key methods, and discuss current use cases and trends.
Web version of presentation given to the Data Science Society of Auburn, a mix of undergraduate and graduate students interested in Data Science.
How is ai important to the future of cyber security Robert Smith
Today’s era is driven by technology in every aspect of our lives, so much that we’ve now increased our dependence on technology on a daily basis. With an increase in the dependency, we’re now very vulnerable and exposed to the intermittent threat posed as cyber-attacks. Cyber-attack threats have plagued businesses, corporates, governments, and institutions.
How do we protect privacy of users when building large-scale AI based systems? How do we develop machine learned models and systems taking fairness, accountability, and transparency into account? With the ongoing explosive growth of AI/ML models and systems, these are some of the ethical, legal, and technical challenges encountered by researchers and practitioners alike. In this talk, we will first motivate the need for adopting a "fairness and privacy by design" approach when developing AI/ML models and systems for different consumer and enterprise applications. We will then focus on the application of fairness-aware machine learning and privacy-preserving data mining techniques in practice, by presenting case studies spanning different LinkedIn applications (such as fairness-aware talent search ranking, privacy-preserving analytics, and LinkedIn Salary privacy & security design), and conclude with the key takeaways and open challenges.
Use of Artificial Intelligence in Cyber Security - Avantika UniversityAvantika University
There are many uses of artificial intelligence in cyber security. Although artificial intelligence has so many advantages over human intelligence, it is dependent on humans. Due to the ever-increasing demand for engineers, there is a bright scope in the field of cyber security. Avantika University is one of the top engineering colleges in India.
To know more details, visit us at : https://www.avantikauniversity.edu.in/engineering-colleges/use-of-artificial-intelligence-in-cyber-security.php
idsecconf2023 - Aan Wahyu - Hide n seek with android app protections and beat...idsecconf
Pembahasan ini bertujuan untuk memberikan edukasi tentang mekanisme perlindungan yang diterapkan pada aplikasi android seperti root detection, ssl pinning, anti emulation, tamper detection dan bagaimana teknik yang digunakan untuk melakukan mekanisme bypass proteksi yang diimplementasikan dengan bantuan reverse engineering menggunakan tool seperti frida, ghidra, objection, magisk, dan sebagainya.
Introductory presentation to Explainable AI, defending its main motivations and importance. We describe briefly the main techniques available in March 2020 and share many references to allow the reader to continue his/her studies.
Slide for Arithmer Seminar given by Dr. Daisuke Sato (Arithmer) at Arithmer inc.
The topic is on "explainable AI".
"Arithmer Seminar" is weekly held, where professionals from within and outside our company give lectures on their respective expertise.
The slides are made by the lecturer from outside our company, and shared here with his/her permission.
Arithmer株式会社は東京大学大学院数理科学研究科発の数学の会社です。私達は現代数学を応用して、様々な分野のソリューションに、新しい高度AIシステムを導入しています。AIをいかに上手に使って仕事を効率化するか、そして人々の役に立つ結果を生み出すのか、それを考えるのが私たちの仕事です。
Arithmer began at the University of Tokyo Graduate School of Mathematical Sciences. Today, our research of modern mathematics and AI systems has the capability of providing solutions when dealing with tough complex issues. At Arithmer we believe it is our job to realize the functions of AI through improving work efficiency and producing more useful results for society.
[Video available at https://sites.google.com/view/ResponsibleAITutorial]
Artificial Intelligence is increasingly being used in decisions and processes that are critical for individuals, businesses, and society, especially in areas such as hiring, lending, criminal justice, healthcare, and education. Recent ethical challenges and undesirable outcomes associated with AI systems have highlighted the need for regulations, best practices, and practical tools to help data scientists and ML developers build AI systems that are secure, privacy-preserving, transparent, explainable, fair, and accountable – to avoid unintended and potentially harmful consequences and compliance challenges.
In this tutorial, we will present an overview of responsible AI, highlighting model explainability, fairness, and privacy in AI, key regulations/laws, and techniques/tools for providing understanding around AI/ML systems. Then, we will focus on the application of explainability, fairness assessment/unfairness mitigation, and privacy techniques in industry, wherein we present practical challenges/guidelines for using such techniques effectively and lessons learned from deploying models for several web-scale machine learning and data mining applications. We will present case studies across different companies, spanning many industries and application domains. Finally, based on our experiences in industry, we will identify open problems and research directions for the AI community.
A short powerpoint presentation on Artificial Intelligence in healthcare settings. This presentation was delivered as a seminar in Department of Community Medicine, RIMS, Imphal, Manipur, India. It was the first seminar on the topic of artificial intelligence, and the topic was covered especially in relation to public health and ethical guidelines.
[Video recording available at https://www.youtube.com/playlist?list=PLewjn-vrZ7d3x0M4Uu_57oaJPRXkiS221]
Artificial Intelligence is increasingly playing an integral role in determining our day-to-day experiences. Moreover, with proliferation of AI based solutions in areas such as hiring, lending, criminal justice, healthcare, and education, the resulting personal and professional implications of AI are far-reaching. The dominant role played by AI models in these domains has led to a growing concern regarding potential bias in these models, and a demand for model transparency and interpretability. In addition, model explainability is a prerequisite for building trust and adoption of AI systems in high stakes domains requiring reliability and safety such as healthcare and automated transportation, and critical industrial applications with significant economic implications such as predictive maintenance, exploration of natural resources, and climate change modeling.
As a consequence, AI researchers and practitioners have focused their attention on explainable AI to help them better trust and understand models at scale. The challenges for the research community include (i) defining model explainability, (ii) formulating explainability tasks for understanding model behavior and developing solutions for these tasks, and finally (iii) designing measures for evaluating the performance of models in explainability tasks.
In this tutorial, we present an overview of model interpretability and explainability in AI, key regulations / laws, and techniques / tools for providing explainability as part of AI/ML systems. Then, we focus on the application of explainability techniques in industry, wherein we present practical challenges / guidelines for effectively using explainability techniques and lessons learned from deploying explainable models for several web-scale machine learning and data mining applications. We present case studies across different companies, spanning application domains such as search & recommendation systems, hiring, sales, and lending. Finally, based on our experiences in industry, we identify open problems and research directions for the data mining / machine learning community.
Neural Language Generation Head to Toe Hady Elsahar
This is a gentle introduction to Natural language Generation (NLG) using deep learning. If you are a computer science practitioner with basic knowledge about Machine learning. This is a gentle intuitive introduction to Language Generation using Neural Networks. It takes you in a journey from the basic intuitions behind modeling language and how to model probabilities of sequences to recurrent neural networks to large Transformers models that you have seen in the news like GPT2/GPT3. The tutorial wraps up with a summary on the ethical implications of training such large language models on uncurated text from the internet.
AI Readiness: Five Areas Business Must Prepare for Success in Artificial Inte...Kaleido Insights
This research report from technology research firm, Kaleido Insights introduces a framework for organizational preparedness—not only of data and infrastructure, but of people, ethical, strategic and practical considerations needed to deploy effective and sustainable machine and deep learning programs. This research is the first to market to articulate the need for readiness beyond data and data science talent. Based on extensive research and interviews of more than 25 businesses involved in AI deployments, the report identifies and examines five fundamental areas businesses must prepare for sustainable AI. Download the full report: https://www.kaleidoinsights.com/order-reports/artificial-intelligence-ai-readiness/
Application of Pstim in Clinical Practice MaxiMedRx
The P-Stim and ANSiStim™ miniaturized device is designed to administer auricular point stimulation treatment over several days. The ear provides numerous points for stimulation within a small area. Stimulation is performed by electrical pulses emitted through strategically positioned needles. The ANSiscope device monitors the pain condition of the patient before, during and after the treatment.
The P-Stim and ANSiStim™ point stimulation therapy is mainly used to treat pain. Use of the device is recommended for pre-operative, intra-operative and post-operative pain therapy as well as for the treatment of chronic pain. DyAnsys is researching the possibilities of using this concept for the treatment of depression, addiction and allergy.
P-Stim and ANSiStim™ therapy allows continuous point stimulation over a period of several days while offering the patient a high degree of comfort and mobility. Use of the P-Stim and ANSiStim™ therapy provides advantages over drug therapy by minimizing possible side-effects caused by pain medications (i.e. opioid). In most cases, the patient continues to lead a normal life without side effects or any loss of quality of life.
Neuro-Stim System Neurostim FDA K140530 Electro Acupuncture Devicemcalipo
Neuro-Stim Electro Acupuncture device and Electro Acupuncture Stimulator. The Electro Auricular Device or PENS (Percutaneous Electrical Nerve Stimulation). Neurostimulation pain therapy medical devices deliver a therapeutic electrical signal into auricular nerves to help release endorphins and provide pain relief.
https://www.laserspineinstitute.com/spinal_orthopedic_procedures/neurostim/
AI, Machine Learning, and Data Science ConceptsDan O'Leary
An overview of AI, Machine Learning, and Data Science concepts, contrasting popular conceptions of AI to state-of-the-art methods in Data Science. An introduction to Machine Learning will compare supervised and unsupervised methods, give high-level descriptions of key methods, and discuss current use cases and trends.
Web version of presentation given to the Data Science Society of Auburn, a mix of undergraduate and graduate students interested in Data Science.
How is ai important to the future of cyber security Robert Smith
Today’s era is driven by technology in every aspect of our lives, so much that we’ve now increased our dependence on technology on a daily basis. With an increase in the dependency, we’re now very vulnerable and exposed to the intermittent threat posed as cyber-attacks. Cyber-attack threats have plagued businesses, corporates, governments, and institutions.
How do we protect privacy of users when building large-scale AI based systems? How do we develop machine learned models and systems taking fairness, accountability, and transparency into account? With the ongoing explosive growth of AI/ML models and systems, these are some of the ethical, legal, and technical challenges encountered by researchers and practitioners alike. In this talk, we will first motivate the need for adopting a "fairness and privacy by design" approach when developing AI/ML models and systems for different consumer and enterprise applications. We will then focus on the application of fairness-aware machine learning and privacy-preserving data mining techniques in practice, by presenting case studies spanning different LinkedIn applications (such as fairness-aware talent search ranking, privacy-preserving analytics, and LinkedIn Salary privacy & security design), and conclude with the key takeaways and open challenges.
Use of Artificial Intelligence in Cyber Security - Avantika UniversityAvantika University
There are many uses of artificial intelligence in cyber security. Although artificial intelligence has so many advantages over human intelligence, it is dependent on humans. Due to the ever-increasing demand for engineers, there is a bright scope in the field of cyber security. Avantika University is one of the top engineering colleges in India.
To know more details, visit us at : https://www.avantikauniversity.edu.in/engineering-colleges/use-of-artificial-intelligence-in-cyber-security.php
idsecconf2023 - Aan Wahyu - Hide n seek with android app protections and beat...idsecconf
Pembahasan ini bertujuan untuk memberikan edukasi tentang mekanisme perlindungan yang diterapkan pada aplikasi android seperti root detection, ssl pinning, anti emulation, tamper detection dan bagaimana teknik yang digunakan untuk melakukan mekanisme bypass proteksi yang diimplementasikan dengan bantuan reverse engineering menggunakan tool seperti frida, ghidra, objection, magisk, dan sebagainya.
Introductory presentation to Explainable AI, defending its main motivations and importance. We describe briefly the main techniques available in March 2020 and share many references to allow the reader to continue his/her studies.
Slide for Arithmer Seminar given by Dr. Daisuke Sato (Arithmer) at Arithmer inc.
The topic is on "explainable AI".
"Arithmer Seminar" is weekly held, where professionals from within and outside our company give lectures on their respective expertise.
The slides are made by the lecturer from outside our company, and shared here with his/her permission.
Arithmer株式会社は東京大学大学院数理科学研究科発の数学の会社です。私達は現代数学を応用して、様々な分野のソリューションに、新しい高度AIシステムを導入しています。AIをいかに上手に使って仕事を効率化するか、そして人々の役に立つ結果を生み出すのか、それを考えるのが私たちの仕事です。
Arithmer began at the University of Tokyo Graduate School of Mathematical Sciences. Today, our research of modern mathematics and AI systems has the capability of providing solutions when dealing with tough complex issues. At Arithmer we believe it is our job to realize the functions of AI through improving work efficiency and producing more useful results for society.
[Video available at https://sites.google.com/view/ResponsibleAITutorial]
Artificial Intelligence is increasingly being used in decisions and processes that are critical for individuals, businesses, and society, especially in areas such as hiring, lending, criminal justice, healthcare, and education. Recent ethical challenges and undesirable outcomes associated with AI systems have highlighted the need for regulations, best practices, and practical tools to help data scientists and ML developers build AI systems that are secure, privacy-preserving, transparent, explainable, fair, and accountable – to avoid unintended and potentially harmful consequences and compliance challenges.
In this tutorial, we will present an overview of responsible AI, highlighting model explainability, fairness, and privacy in AI, key regulations/laws, and techniques/tools for providing understanding around AI/ML systems. Then, we will focus on the application of explainability, fairness assessment/unfairness mitigation, and privacy techniques in industry, wherein we present practical challenges/guidelines for using such techniques effectively and lessons learned from deploying models for several web-scale machine learning and data mining applications. We will present case studies across different companies, spanning many industries and application domains. Finally, based on our experiences in industry, we will identify open problems and research directions for the AI community.
A short powerpoint presentation on Artificial Intelligence in healthcare settings. This presentation was delivered as a seminar in Department of Community Medicine, RIMS, Imphal, Manipur, India. It was the first seminar on the topic of artificial intelligence, and the topic was covered especially in relation to public health and ethical guidelines.
[Video recording available at https://www.youtube.com/playlist?list=PLewjn-vrZ7d3x0M4Uu_57oaJPRXkiS221]
Artificial Intelligence is increasingly playing an integral role in determining our day-to-day experiences. Moreover, with proliferation of AI based solutions in areas such as hiring, lending, criminal justice, healthcare, and education, the resulting personal and professional implications of AI are far-reaching. The dominant role played by AI models in these domains has led to a growing concern regarding potential bias in these models, and a demand for model transparency and interpretability. In addition, model explainability is a prerequisite for building trust and adoption of AI systems in high stakes domains requiring reliability and safety such as healthcare and automated transportation, and critical industrial applications with significant economic implications such as predictive maintenance, exploration of natural resources, and climate change modeling.
As a consequence, AI researchers and practitioners have focused their attention on explainable AI to help them better trust and understand models at scale. The challenges for the research community include (i) defining model explainability, (ii) formulating explainability tasks for understanding model behavior and developing solutions for these tasks, and finally (iii) designing measures for evaluating the performance of models in explainability tasks.
In this tutorial, we present an overview of model interpretability and explainability in AI, key regulations / laws, and techniques / tools for providing explainability as part of AI/ML systems. Then, we focus on the application of explainability techniques in industry, wherein we present practical challenges / guidelines for effectively using explainability techniques and lessons learned from deploying explainable models for several web-scale machine learning and data mining applications. We present case studies across different companies, spanning application domains such as search & recommendation systems, hiring, sales, and lending. Finally, based on our experiences in industry, we identify open problems and research directions for the data mining / machine learning community.
Neural Language Generation Head to Toe Hady Elsahar
This is a gentle introduction to Natural language Generation (NLG) using deep learning. If you are a computer science practitioner with basic knowledge about Machine learning. This is a gentle intuitive introduction to Language Generation using Neural Networks. It takes you in a journey from the basic intuitions behind modeling language and how to model probabilities of sequences to recurrent neural networks to large Transformers models that you have seen in the news like GPT2/GPT3. The tutorial wraps up with a summary on the ethical implications of training such large language models on uncurated text from the internet.
AI Readiness: Five Areas Business Must Prepare for Success in Artificial Inte...Kaleido Insights
This research report from technology research firm, Kaleido Insights introduces a framework for organizational preparedness—not only of data and infrastructure, but of people, ethical, strategic and practical considerations needed to deploy effective and sustainable machine and deep learning programs. This research is the first to market to articulate the need for readiness beyond data and data science talent. Based on extensive research and interviews of more than 25 businesses involved in AI deployments, the report identifies and examines five fundamental areas businesses must prepare for sustainable AI. Download the full report: https://www.kaleidoinsights.com/order-reports/artificial-intelligence-ai-readiness/
Application of Pstim in Clinical Practice MaxiMedRx
The P-Stim and ANSiStim™ miniaturized device is designed to administer auricular point stimulation treatment over several days. The ear provides numerous points for stimulation within a small area. Stimulation is performed by electrical pulses emitted through strategically positioned needles. The ANSiscope device monitors the pain condition of the patient before, during and after the treatment.
The P-Stim and ANSiStim™ point stimulation therapy is mainly used to treat pain. Use of the device is recommended for pre-operative, intra-operative and post-operative pain therapy as well as for the treatment of chronic pain. DyAnsys is researching the possibilities of using this concept for the treatment of depression, addiction and allergy.
P-Stim and ANSiStim™ therapy allows continuous point stimulation over a period of several days while offering the patient a high degree of comfort and mobility. Use of the P-Stim and ANSiStim™ therapy provides advantages over drug therapy by minimizing possible side-effects caused by pain medications (i.e. opioid). In most cases, the patient continues to lead a normal life without side effects or any loss of quality of life.
Neuro-Stim System Neurostim FDA K140530 Electro Acupuncture Devicemcalipo
Neuro-Stim Electro Acupuncture device and Electro Acupuncture Stimulator. The Electro Auricular Device or PENS (Percutaneous Electrical Nerve Stimulation). Neurostimulation pain therapy medical devices deliver a therapeutic electrical signal into auricular nerves to help release endorphins and provide pain relief.
https://www.laserspineinstitute.com/spinal_orthopedic_procedures/neurostim/
World’s first one wrist ecg band and other revolutionary products from Europe’s fastest growing biotech company in $142b market investment opportunity with 28x return in 3 years
DEPARTMENT OF HEALTH & HUMAN SERVICES Public Health Service
Center for Devices and Radiological Heath
Office of Communication, Education and Radiation Programs
Document Mail Center – WO66-G609
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
Watson Megatech, Inc.
% Chad Watson
Dec 1, 2011
President and CEO
5800 Industrial Blvd
Suite 11
Omaha, NE 68135
Re: P091462
BioBanking
Filed: Jan 9, 2010
Amended: August 5, September 8 and 13, 2010; February 22, 2011; September 22, 2011; October 6, 2011 and November 1, 2011.
Procode: RLD
Dear Mr. Watson:
The Center for Devices and Radiological Health (CDRH) of the Food and Drug Administration
(FDA) has completed its review of your premarket approval application (PMA) for the BioBanking Device.
BioBanking is intended to be for sub-dermal use as a radio frequency (RF) emitter in the prevention of identity theft and financial fraud. The device will interact with external scanners through radio frequency to identify the individual as well as financial account information. The device will also interact with external encoders for the purposes of addition or removal of financial account information. The device is solar powered and does not need internal batteries that would provide potential medical issues in the PMA review process.
The BioBanking insertion process can be administered by non-medical personnel trained in the implementation of the product. Financial institution personnel responsible for this administration will be trained and certified in application of the BioBanking device.
The sub-dermal BioBanking device is one element of the total transaction system. There is also a reader for the RF signals. Since the reader is a passive device it does not fall under provisions of the CDRH purview.
We are pleased to inform you that the PMA is approved. You may begin commercial distribution
of the device in accordance with the conditions of approval described below. You may continue
commercial distribution of the device upon receipt of this letter.
Page 2 – Mr. Watson
The sale and distribution of this device are governed by The Radiation Control provisions (originally enacted as the Radiation Control for Health and Safety Act of 1968) located in Sections 531 through 542 of the Act. They apply to any "electronic product" which is defined as: any manufactured or assembled product (or component, part, or accessory of such product) which, when in operation,
i. contains or acts as part of an electronic circuit and
ii. emits (or in the absence of effective shielding or other controls would emit) electronic product radiation.
"Electronic product radiation" is defined as:
i. any ionizing or non-ionizing electromagnetic or particulate radiation, or
ii. any sonic, infrasonic, or ultrasonic wave, which is emitted from an electronic product as the result of the operation of an electronic circuit in such product.
The device is restricted under section 515(d)(l)(B)(ii) o.
Today's Healthcare Technology and the Regulatory StandpointAkshay Anand
Poster titled 'Today's Healthcare Technology and the Regulatory Standpoint' presented at 67th IPC (Indian Pharmaceutical Congress), held at Mysuru in December 2015.
From the Archives, 2008:Clinical and Economic Advantages Implantable Defibril...David Lee Scher, MD
This presentation from 2008 discusses the most early recognized merits of remote patient monitoring as it pertained to implantable defibrillators. It was prsented at the European Cardiac Arrhythmia Society Annual Congress. These advantages of RPM can be extended to monitoring of other conditions today.
Clinical research : Drug regulatory affairs and Pharmacovigilance.ProfDnyaneshwariJosh
Schedule Y, FDA, Appendices, Post marketing surveillance,Clinical trial,WHO,ICH-GCP, FDA-CFR, Safety,Adverse Drug reaction, Adverse Event(AE), Serious Adverse Event(SAE),Reporting, IND , 3500A form
To comprehend the regulatory requirements to import medical Medical devices and authorization procedures in regulated markets of the United States and Australia
FDA classify Medical Devices and how to report device problems A Systematic R...Pubrica
The typical time it takes to get a device to market is 3 to 7 years, compared to 12 years for pharmaceuticals. However, there are concerns that the Food and Drug Administration's Systematic Review Writing methods may not be adequate to satisfy the required guarantees of safety and efficacy.
Learn More : https://pubrica.com/services/research-services/systematic-review/
Reference: https://bit.ly/3xNHUsC
Why Pubrica:
When you order our services, we promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Bio statistical experts | High-quality Subject Matter Experts.
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Preventing Medication Errors: A $21 Billion OpportunityHealth Catalyst
With a potential industry-wide savings of almost $21 billion and an impact on more than seven million patient lives, preventing harmful medication error is a significant improvement opportunity for health systems. Also known as adverse drugs events (ADEs), harmful medication errors comprise about 37 percent of all medical harm. Approximately 50 percent of ADEs are preventable, making their reduction a highly impactable area of patient safety.
Current data and analytics workflow tools are making ADE surveillance, monitoring, and prevention increasingly more effective with four key capabilities:
Perspective surveillance for ADEs and identification of previously undescribed ADEs.
Identification of the root cause of many ADEs by drug class.
Prescription at appropriate doses for patients with compromised kidney or liver functions.
Identification of different types of harm to find causes.
Digital Health and Remote Monitoring Devices: the Impact of COVID-19 on Their...Greenlight Guru
This session focuses on a few case studies for how device companies were impacted by three FDA guidance documents. Allison Komiyama, PhD, RAC, Principal Consultant at AcKnowledge Regulatory Strategies will highlight pros and cons for each.
The FDA Guidance Documents to be discussed:
• Enforcement Policy for Non-Invasive Remote Monitoring Devices Used to Support Patient Monitoring During the Coronavirus Disease 2019
• Enforcement Policy for Digital Health Devices For Treating Psychiatric Disorders During the Coronavirus Disease 2019
• Enforcement Policy for Remote Ophthalmic Assessment and Monitoring Devices During the Coronavirus Disease 2019
This session took place live at the Greenlight Guru True Quality Virtual Summit, a three-day event for medical device professionals to learn to get their devices to market faster, stay ahead of regulatory changes, and use quality as their multiplier to grow their device business.
Keynote address by Brent James at the 2013 Saskatchewan Health Care Quality Summit. For more information about the summit, visit www.qualitysummit.ca. Follow @QualitySummit on Twitter.
Dr. Brent James describes how Intermountain Healthcare is systematically, and successfully, bringing together clinicians, patients and leaders to: establish best practices; drive out waste in their system; and ultimately deliver better, safer care. Dr. James will share insights about the structures, strategies and relationships that have been pivotal in transforming their health system.
FDA classify Medical Devices and how to report device problems A Systematic R...Pubrica
The typical time it takes to get a device to market is 3 to 7 years, compared to 12 years for pharmaceuticals. However, there are concerns that the Food and Drug Administration's Systematic Review Writing methods may not be adequate to satisfy the required guarantees of safety and efficacy.
Learn More : https://pubrica.com/services/research-services/systematic-review/
Reference: https://bit.ly/3xNHUsC
Why Pubrica:
When you order our services, we promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Bio statistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44-1618186353
Similar to Stivax neurostimulator and fda powerpoint (20)
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Many practices are still using offsite laboratories to process their patients Respiratory and Urinary Tract related cultures. The Point of Care PCR Joint Venture Program is revolutionizing the way both small and large practices increase monthly revenue. Often these facilities are not only billing the insurance carrier, they also send patients to collections. The Integration of this system will grant you billing privileges and the control of your patient’s financial outcome.
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MedMAP Blood Test is a comprehensive, multi-drug assay designed to help guide providers through the complex process of managing medications for their patients suffering from multiple chronic conditions.
From a simple fingerstick, MedMAP tests for approximately 85% of written prescriptions, marries the detected medications with the drugs on the med list, and identifies known potential drug-drug interactions. Equipped with the correct med list, providers can now develop more effective medication therapy plans and improve patient safety & adherence.
MedMAP is covered by many insurances. MaxiMed is always looking for medical sales reps with physician relationships. www.maximedrx.com
It has been estimated that at least one in ten of the patients seen in primary care has a disorder with a genetic component.
There are three main themes of genetics in primary care: identifying patients with, or at risk of, a genetic condition; clinical management of genetic conditions; communicating genetic information.
Taking and considering a genetic family history is a key skill in identifying families with Mendelian disorders and clusters of common conditions such as cancer, cardiovascular disease and diabetes.
General practitioners (GPs) have a key role in identifying patients and families who would benefit from being referred to appropriate specialist genetic services.
General practice plays a key part in discussing results from the antenatal and newborn screening programs which are identifying carriers and people affected with genetic conditions.
Information about genetic susceptibility in common conditions (currently being gathered through research studies) is likely to offer additional information about risk factors to aid management.
Genomic information is currently being utilized in the stratified use of certain medicines.
Acupuncture is one of the oldest types of therapy known to us for about five thousand years. It originated in Asia, specifically in China, was developed further and constituted a very essential part of medicine in that part of the world. In the West, acupuncture was virtually unknown until the year 1972. Professor Bischko was able to prove its mode of action using scientifically recognized methods of Western medicine.
Electro-acupuncture is already used on a word-wide scale at present, but has found only limited application in auricular acupuncture, due to the currently relatively large sized equipment. For this reason, a miniature form of electro- acupuncture has been developed, in order to permit carrying out long term auricular acupuncture. The main component of the device is a micro controller (in further sequence a microchip), which allows continuous stimulation in conjunction with an integrated acupuncture needle.
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Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
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- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
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Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Ocular injury ppt Upendra pal optometrist upums saifai etawah
Stivax neurostimulator and fda powerpoint
1. Introducing Stivax Peripheral Neurostimulator
Distributed in the USA by Doc Solutions
Contact MaxiMed • 800-848-7240
www.chronicpaintherapy.com/stivax-neurostimulator.html
2. PAD (peripheral arterial occlusive disease) causes a reduction in arterial
perfusion at the extremities. As a chronic vascular disease, it has a huge im-
pact on health, with increasing exercise-dependent pain and walking distance
reduction (intermittent claudication) up to and including critical ischaemia.
This is where STIVAX neurostimulation therapy may achieve surprising suc-
cess: modulations in the brain stem caused by intermittent continuous stimu-
lation of the vagus nerve in the triangular fossa result in improved perfusion
of the extremities - without active substances and minimal invasive.
The aim of treatment is to slow the progress of the disease, prevent amputations
and facilitate greater freedom of movement and thus a better quality of life.
INCREASING THE QUALITY OF LIFE INNOVATIVE THERAPY
It goes without saying that tried and tested methods are the best therapy in
medicine, with innovative, clinically-tested approaches providing a valuable
complement. This is the basis for STIVAX therapy.
STIVAX NEUROSTIMULATION THERAPY
Conservative treatment for PAD patients extends walking distances to a
multiple of original values and supports wound healing.
STIVAX NEUROSTIMULATOR
Integral component of STIVAX therapy. The mechanism of action is based on
stimulation of the vagus nerve.
VAGUS NERVE
Stimulation of the afferent
branch of the vagus nerve
causes the brain stem to
achieve improved microcir-
culation in the extremities
via arterioles.
ARTERIOLES
The brain stem uses neuro
transmitters to influence
the intensity and rhythm of
arteriole movements.
ARTERY
ARTERIOLES
CAPILLARIES
BLOOD FLOW
3. SIMPLY CONVINCING
Minimally-invasive administration
Effective improvement in the quality of life of PAD patients
Significant reduction in treatment complexity
Potential reduction in long-term treatment costs
Easy application
Stimulation strength individually adjusted by the physician to
ensure maximum wearing comfort for the patient
Protected from splashes
Prescribed by a physician
No active substances
Enhancement of patient compliance
HOW TO GET BETTER
A clinical trial by senior consultant Dr Thomas Payrits on vagus stimulation in
PAD patients supports the effectiveness of STIVAX neurostimulation the-
rapy: in addition to good data quality and a high level of patient compliance,
study results show a significant rise in the transcutaneous partial pressure of
oxygen between the initial examination and the final one.
The other parameters for efficacy and quality of life in the form of ABI SF-36
health surveys and the walking distance test also have similar results and
thus confirm therapeutic success as an effective measure for improving the
symptoms of PAD.
STIVAX NEUROSTIMULATION
PAD TREATMENT WITH A SUSTAINED EFFECT
0,5
0,6
0,7
0,8
ABI(-)
Exam 1 Exam 2 Exam 1 Exam 2 Exam 1 Exam 2
10
20
30
40
50
60
tcpO2(mmHg)
p=0.001
10
20
30
40
50
Walkingability
(%ofmax.walkingability)
p=0.001 p=0.001
Payrits et al. 2015, awaiting publication
4.
5. DEPARTMENT OF HEALTH & HUMAN SERVICES Public Health Service
Food and Drug Administration
10903 New Hampshire Avenue
Document Control Center - WO66-G609
Silver Spring, MD 20993-0002
Biegler Gmbh
Consultant
Promedic, Inc.
24301 Woodsage Drive
Bonita Springs, Florida 34134
Re: K152571
Trade/Device Name: Stivax System
Regulation Number: N/A
Regulation Name: N/A
Regulatory Class: Unclassified
Product Code: BWK
Dated: April 24, 2016
Received: April 26, 2016
Dear Paul Dryden,
We have reviewed your Section 510(k) premarket notification of intent to market the device
referenced above and have determined the device is substantially equivalent (for the indications
for use stated in the enclosure) to legally marketed predicate devices marketed in interstate
commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to
devices that have been reclassified in accordance with the provisions of the Federal Food, Drug,
and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA).
You may, therefore, market the device, subject to the general controls provisions of the Act. The
general controls provisions of the Act include requirements for annual registration, listing of
devices, good manufacturing practice, labeling, and prohibitions against misbranding and
adulteration. Please note: CDRH does not evaluate information related to contract liability
warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA),
it may be subject to additional controls. Existing major regulations affecting your device can be
found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may
publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean
that FDA has made a determination that your device complies with other requirements of the Act
or any Federal statutes and regulations administered by other Federal agencies. You must comply
with all the Act's requirements, including, but not limited to: registration and listing (21 CFR
Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-
related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in
May 26, 2016
6. - Paul DrydenPage 2
the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product
radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please
contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041
or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. Also, please note
the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part
807.97). For questions regarding the reporting of adverse events under the MDR regulation (21
CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office
of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the
Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301)
796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Carlos L. Peña, PhD, MS
Director
Division of Neurological
and Physical Medicine Devices
Office of Device Evaluation
Center for Devices and Radiological Health
Enclosure
for
William J.
Heetderks -A
Digitally signed by William J. Heetderks -A
DN: c=US, o=U.S. Government, ou=HHS, ou=NIH,
ou=People,
0.9.2342.19200300.100.1.1=0010149848,
cn=William J. Heetderks -A
Date: 2016.05.26 11:24:18 -04'00'
7. DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
Indications for Use
510(k) Number (if known)
Form Approved: OMB No. 0910-0120
Expiration Date: January 31, 2017
See PRA Statement on last page.
Device Name
Indications for Use (Describe)
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D) Over-The-Counter Use (21 CFR 801 Subpart C)
PLEASE DO NOT WRITE BELOW THIS LINE – CONTINUE ON A SEPARATE PAGE IF NEEDED.
FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
This section applies only to requirements of the Paperwork Reduction Act of 1995.
*DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the
time to review instructions, search existing data sources, gather and maintain the data needed and complete
and review the collection of information. Send comments regarding this burden estimate or any other aspect
of this information collection, including suggestions for reducing this burden, to:
Department of Health and Human Services
Food and Drug Administration Office of Chief
Information Officer Paperwork Reduction Act
(PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and person is not required to respond to, collection of
information unless it displays currently valid OMB number."
FORM FDA 3881 (1/14) Page 1 of 1
8. 510(k) Summary
Page 1 of 5
5/26/2016
Page 1
Official Contact: Friedrich Netauschek
Biegler GmbH
Allhangstrasse 18a
3001 Mauerbach Austria
Tel - (0043)1979210515
Fax - (0043)1979210516
Proprietary or Trade Name: Stivax System
Common/Usual Name: Electro-acupuncture devic
Classification Name: Not classified (pre-amendment)
Predicate Device: Biegler P-Stim System - K140788
Device: Stivax System
Device Description:
The Stivax is a single use, battery-powered, electrical nerve stimulator which is used for the
stimulation of the vagus nerve via the ear. The device connects an electrode cable to two sterile
(radiation) acupuncture needles that have been applied by a healthcare practitioner. The
stimulator connects to a clip holder on medical grade adhesive tape. The stimulator (with tape)
adheres to the patient, behind the ear.
The STIVAX and the sterile (radiation) stimulation double needle are intended for single use.
The device consists of the stimulator and a stimulation double needle. The device cannot be
recharged. The device has no connection to any external devices except the electrode.
The stimulator is housed in plastic. It is connected through a plug to the stimulation double needle
(needles made of titanium, insulated wire). The power is supplied by a 3 V battery (type
CR1220).
The dimensions of the device are W x H x D 34 x 7 x 20 mm, the weight is 4.41 g with battery.
The device is activated by connecting the stimulation double needle.
Intended User
Clinician
Patient Population
This device is intended for use on adults.
Indications for Use:
Stivax is an electro-acupuncture device for use in the practice of acupuncture by qualified
practitioners of acupuncture as determined by the states.
Environment of Use:
Clinics, hospital and home environments
9. 510(k) Summary
Page 2 of 5
5/26/2016
Page 2
Contraindications:
• Use of cardiac pacemakers because no clinical data are available
• Hemophilia
• Psoriasis vulgaris
Predicate Device Comparison:
The Stivax System from Biegler was compared to the predicate P-Stim System - K140788 in the
device comparison table below.
Device Comparison
STIVAX Predicate P-STIM
K140788
Manufacturer Biegler GmbH Biegler GmbH
Power source 3 V battery (CR1220) 3x 1.4 V- zinc air batteries
Line Current Isolation NA - Internally powered only. No
connection to mains or any other
equipment
NA - Internally powered only. No
connection to mains or any other
equipment
Indications for Use Stivax is an electro-acupuncture
device for use in the practice of
acupuncture by qualified
practitioners of acupuncture as
determined by the states
P-STIM is an electro-acupuncture
device for use in the practice of
acupuncture by qualified
practitioners of acupuncture as
determined by the states
Patient Population Adults Adults
Environment of use Clinics, hospital and home
environments
Clinics, hospital and home
environments
Contraindications – • Use of cardiac pacemakers
because no clinical data are
available
• Hemophilia
• Psoriasis vulgaris
• Use of cardiac pacemakers
because no clinical data are
available
• Hemophilia
• Psoriasis vulgaris
Number of Output modes 1 1
Number of Output channels 1 1
Waveform Monophasic Biphasic
Waveform Shape Rectangular Rectangular
10. 510(k) Summary
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STIVAX Predicate P-STIM
K140788
Maximum Output Voltage (max)
- 500 Ω
- 1000 Ω
- 2 kΩ
- 10 kΩ
0.56 V
1.09 V
2.05 V
8.40 V
2.74 V
3.31 V
3.56 V
3.75 V
Maximum Output Current (max)
- 500 Ω
- 1000 Ω
- 2 kΩ
- 10 kΩ
1.12 mA
1.09 mA
1.025 mA
0.84 mA
5.52 mA
3.31 mA
1.75 mA
0.38 mA
Maximum Phase charge (500 Ω) 0.224 µC 3.31 µC
Contact Area (needle electrode) 3.796 mm²
(2 needles x 1.898 mm²)
1.898 mm²
(1 needle)
Maximum Current Density (500 Ω) 0.59 mA/mm² 0.97 mA/mm²
Pulse Duration 200 µs 1 ms
Maximum Average Current (500 Ω) 1.12 mA 5.52 mA
Maximum Power Density (500 Ω) 0.33*10-3 W/mm² 2.66 10-3 W/mm²
Frequency (Hz) 1 Hz 1 Hz
Burst Mode None None
Timer range (min) Fixed 40 min on / 20 min off Fixed 3 h on / 3 h off
Indication display
- On/Off status
- Low battery
- Voltage / Current level
- Output mode
- Time to cut-off
No
No
No
No
No
No
No
No
No
No
Dimensions 34 x 7 x 20 mm 63 x 28 x 8 mm
Weight 4.41 g 5 g
Microprocessor control Yes Yes
Electrode cable Yes Yes
Differences Between Other Legally Marketed Predicate Devices:
There are some differences between the subject device and the predicate P-Stim (K140788).
They are:
• Difference in electrode configuration
o P-STIM has the pad as the ground the 3 needles are connected to the same
stimulation signal, effectively also acting as 2 electrodes. Whereas the STIVAX
also has 2 electrodes, a ground and stimulator.
• Waveform shape
11. 510(k) Summary
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o Biphasic stimulation is used for the predicate P-STIM because of the electrode
configuration.
• Maximum Output Current
o The constant current stimulation of the Stivax allows us to use a lower maximum
output current.
• Maximum Pulse Duration
o A pulse duration of 200 µs is enough to deliver the energy.
• Treatment protocol
o User feedback suggested that the shorter pause of 20 min is less disruptive to the
user when they are sleeping.
These differences were found to not raise any new safety or risks and thus the Biegler Stivax
System can be viewed as substantially equivalent to the predicate device.
Indications –
Stivax is an electro-acupuncture device for use in the practice of acupuncture by qualified
practitioners of acupuncture as determined by the states
Discussion – These indications are identical to the predicate
Prescriptive – The Stivax and predicate are prescriptive devices.
Performance and Specifications – The Stivax has equivalent specifications of performance
when compared to the predicate.
Compliance with standards –The Stivax System and predicate comply with AAMI ANSI
ES6060-1 and IEC 60601-1-2. Additionally Stivax complies with IEC 60601-2-10 for electrical
stimulators.
Materials –
Materials inclusive of patient contacting materials of the Stivax system are similar to the
predicate. The patient contact needles are of identical titanium allow. A similar medical tape is
used to affix the device.
Patient Population –
The Stivax and predicate are indicated for adults
Environment of Use –
Clinics, hospital and home environments, identical to the predicate.
Non-Clinical Testing Summary:
We have performed bench tests and found that the Stivax System met all requirements
specifications and standards requirements. Testing includes the following:
• Verification Testing to insure the device meets its specifications
• Testing of hazard mitigations
• Testing for compliance to AAMI ANSI ES60601-1
• Testing for compliance to IEC 60601-1-2
• Testing for compliance with IEC 60601-2-10
12. 510(k) Summary
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Animal Testing:
No animal testing was performed.
Clinical Testing Summary:
No clinical testing was performed.
Substantial Equivalence Conclusion:
Biegler maintains the Stivax System is substantially equivalent to the predicate device in
indications for use, patient population, and environment for use, technology characteristics,
specifications / performance and compliance with the same international standards