This document discusses neural brain-computer interfaces (BCIs) that translate neurological signals into movements of devices like computer cursors, wheelchairs, and prosthetics. It describes how BCIs work by implanting a brain chip that reads neurological signals which are then analyzed by a computer to control output devices. The document also outlines the business opportunity for BCIs, key challenges, and a proposed technology roadmap and financial outlook for a company developing BCIs.
The Future of Personalized Implants in Joint Replacement: Additive, Robotics,...April Bright
Orthopedics is primed for mass customization of implants thanks to advancements in additive, AI and robotics. Fully leveraged, the technologies can produce patient-specific implants that achieve clinical benefit, decrease cost and maintain O.R. workflow. Founder and Chief Medical Officer of Monogram Orthopaedics, Douglas Unis, M.D., shares his reimagined vision of personalized joint replacement implants and just-in-time inventory solutions.
The Future of Digital Health and Wearables in OrthopedicsrablesApril Bright
Orthopedic device companies have responded to payors’ adoption of bundled payments and FDA’s promotion of digital health tools by commercializing products that track patients beyond the O.R. Digital health tools, including wearables, provide device companies with revenue streams that respond to hospitals’ episode of care requirements and patients’ personalized medicine needs, while simultaneously creating a feedback loop for product ideas. Christopher E. Pelt, M.D., a surgeon enrolled in Zimmer Biomet’s mymobility clinical study with the Apple Watch app, offered perspective on the benefits of wearables and shares ways that the technology will impact patients, surgeons and device companies in the future.
Real-World Evidence: The Future of Data Generation and UsageApril Bright
As data is captured through electronic health records, registries and unique device identifiers, the generation of evidence based on this data is expected to play a crucial role in informing orthopedic manufacturers’ decisions before and after regulatory approval. While regulators, payors, hospitals and manufacturers support this shift, they acknowledge that gaps remain in its optimal execution. Priority considerations include how to generate evidence to expedite regulatory market decisions, device indication expansion, postmarket studies, postmarket surveillance and reimbursement decisions. The National Evaluation System for health Technology Coordinating Center (NESTcc), an initiative of the Medical Device Innovation Consortium (MDIC), is leading the conversation with various stakeholders, including FDA and orthopedic device companies to support the sustainable generation of Real-World Evidence (RWE) using Real-World Data (RWD).
Medicortex is developing a saliva or urine-based diagnostic test strip called ProbTBITM or IndicateTBI to detect traumatic brain injuries (TBIs). Clinical trials showed biomarkers detected in samples from TBI patients were statistically higher than healthy controls. A case study found the biomarkers detected a brain injury missed by MRI. The company aims to complete prototype development, additional clinical trials, and regulatory approval to commercialize the affordable and easy-to-use ProbTBITM kit for use in hospitals, sports, military, and by individuals. Completing development is expected to cost €5M total, with the current funding round targeting €5M in new equity investment.
Medicortex is developing a saliva or urine-based test strip called ProbTBITM to rapidly and accurately detect traumatic brain injuries (TBIs). They have discovered unique glycoprotein biomarkers that are elevated in samples shortly after a TBI. Clinical trials have shown the biomarkers can distinguish between TBI patients and healthy/orthopedic injury controls. Further trials are planned to validate the test for use in children. The company aims to incorporate the biomarkers into a prototype diagnostic kit and seek regulatory approval. Additional funding will support kit development and clinical validation prior to potential commercialization and market expansion.
The document describes the evolution of a biotech startup's efforts to develop a new drug to treat spinal cord injury (SCI). Initially, the team was optimistic about validating the need and market potential. However, through customer interviews, they learned big pharma is not interested in early-stage SCI drugs due to previous failures. The team then developed a new 36-month plan to generate more rigorous preclinical data for FDA approval and attract partners. They also identified new financing options and pivoted to explore opportunities in multiple sclerosis based on stronger customer interest.
Global Neuroprosthetics Market (product types, technology, application, and g...Allied Market Research
Neuroprosthetics, also referred to as neural implants/brain implants, have gained significant momentum during past few years owing to the immense potential to substitute and/or ameliorate any damaged sensory, motor or cognitive functions.
Article Overview "Reach and grasp by people with tetraplegia using a neurally...Ilya Kuzovkin
This presentation is article overview given at the Computational Neuroscience seminar in the University of Tartu. In my opinion at the moment this is the most prominent BCI system out there.
The Future of Personalized Implants in Joint Replacement: Additive, Robotics,...April Bright
Orthopedics is primed for mass customization of implants thanks to advancements in additive, AI and robotics. Fully leveraged, the technologies can produce patient-specific implants that achieve clinical benefit, decrease cost and maintain O.R. workflow. Founder and Chief Medical Officer of Monogram Orthopaedics, Douglas Unis, M.D., shares his reimagined vision of personalized joint replacement implants and just-in-time inventory solutions.
The Future of Digital Health and Wearables in OrthopedicsrablesApril Bright
Orthopedic device companies have responded to payors’ adoption of bundled payments and FDA’s promotion of digital health tools by commercializing products that track patients beyond the O.R. Digital health tools, including wearables, provide device companies with revenue streams that respond to hospitals’ episode of care requirements and patients’ personalized medicine needs, while simultaneously creating a feedback loop for product ideas. Christopher E. Pelt, M.D., a surgeon enrolled in Zimmer Biomet’s mymobility clinical study with the Apple Watch app, offered perspective on the benefits of wearables and shares ways that the technology will impact patients, surgeons and device companies in the future.
Real-World Evidence: The Future of Data Generation and UsageApril Bright
As data is captured through electronic health records, registries and unique device identifiers, the generation of evidence based on this data is expected to play a crucial role in informing orthopedic manufacturers’ decisions before and after regulatory approval. While regulators, payors, hospitals and manufacturers support this shift, they acknowledge that gaps remain in its optimal execution. Priority considerations include how to generate evidence to expedite regulatory market decisions, device indication expansion, postmarket studies, postmarket surveillance and reimbursement decisions. The National Evaluation System for health Technology Coordinating Center (NESTcc), an initiative of the Medical Device Innovation Consortium (MDIC), is leading the conversation with various stakeholders, including FDA and orthopedic device companies to support the sustainable generation of Real-World Evidence (RWE) using Real-World Data (RWD).
Medicortex is developing a saliva or urine-based diagnostic test strip called ProbTBITM or IndicateTBI to detect traumatic brain injuries (TBIs). Clinical trials showed biomarkers detected in samples from TBI patients were statistically higher than healthy controls. A case study found the biomarkers detected a brain injury missed by MRI. The company aims to complete prototype development, additional clinical trials, and regulatory approval to commercialize the affordable and easy-to-use ProbTBITM kit for use in hospitals, sports, military, and by individuals. Completing development is expected to cost €5M total, with the current funding round targeting €5M in new equity investment.
Medicortex is developing a saliva or urine-based test strip called ProbTBITM to rapidly and accurately detect traumatic brain injuries (TBIs). They have discovered unique glycoprotein biomarkers that are elevated in samples shortly after a TBI. Clinical trials have shown the biomarkers can distinguish between TBI patients and healthy/orthopedic injury controls. Further trials are planned to validate the test for use in children. The company aims to incorporate the biomarkers into a prototype diagnostic kit and seek regulatory approval. Additional funding will support kit development and clinical validation prior to potential commercialization and market expansion.
The document describes the evolution of a biotech startup's efforts to develop a new drug to treat spinal cord injury (SCI). Initially, the team was optimistic about validating the need and market potential. However, through customer interviews, they learned big pharma is not interested in early-stage SCI drugs due to previous failures. The team then developed a new 36-month plan to generate more rigorous preclinical data for FDA approval and attract partners. They also identified new financing options and pivoted to explore opportunities in multiple sclerosis based on stronger customer interest.
Global Neuroprosthetics Market (product types, technology, application, and g...Allied Market Research
Neuroprosthetics, also referred to as neural implants/brain implants, have gained significant momentum during past few years owing to the immense potential to substitute and/or ameliorate any damaged sensory, motor or cognitive functions.
Article Overview "Reach and grasp by people with tetraplegia using a neurally...Ilya Kuzovkin
This presentation is article overview given at the Computational Neuroscience seminar in the University of Tartu. In my opinion at the moment this is the most prominent BCI system out there.
Iaetsd recognition of emg based hand gesturesIaetsd Iaetsd
This document summarizes research on recognizing electromyography (EMG) signals from hand gestures to control prosthetics using artificial neural networks. EMG signals were collected from muscles during two hand gestures. Thirteen features were extracted from the signals and used to train and test several neural networks with different training algorithms. It was found that networks using the Levenberg-Marquardt algorithm achieved the best performance, with over 90% classification accuracy and the fastest training times, making it most suitable for accurate and rapid prosthetic control based on EMG pattern recognition.
This study examined how neural signals from the primary motor cortex of macaque monkeys could be used to control a robotic arm in real time. Researchers implanted an array of microelectrodes in the motor cortex and found that neural activity strongly correlated with arm movements. They used a population vector algorithm to decode neural firing patterns into commands to position the robotic arm. Monkeys achieved high accuracy after training, demonstrating the potential for brain-machine interfaces to restore limb function. However, challenges remain in developing stable, long-term electrode interfaces and reducing system size for applications such as neural prosthetics.
Our update for the beginning of 2014, about self-directed evolution from the constraint of biology to a substrate-independent mind (SIM) and personality, a process alluded to in science fiction with the oft-confusing term "uploading". In this talk, I present the most realistic development route to SIM via whole brain emulation (WBE), neural prostheses and neural interfaces. I describe how I contribute to make this happen, as effectively as I can, through my work as it is presented at carboncopies.org. Then, I draw your attention to the most significant development in the field at this moment, an opportunity for a widely applicable Platform for high resolution neural interfaces. That platform has the potential in the near-term to provide the access needed for true brain machine interfaces, cognitive neural prostheses and the type of data acquisition that is essential for whole brain emulation.
This document provides a comprehensive assessment of neuroprosthetic technologies. It explores how electrode detection systems like EMG and EEG translate neural signals to mechanical actions in prosthetic devices. The mechanics of neuroprosthetics aim to achieve adequate freedom of movement, simplify designs like the thumb, and enable wrist actuation. Materials used include polymers, metals, and composites to connect the human body to the machine. Additive manufacturing techniques like 3D printing are discussed for producing prosthetics and sockets. The document also examines ethical implications and provides an overall understanding of neuroprosthetics.
HMRI researchers are working on two projects to aid military personnel - developing 1) a new deep eye scanner to quickly diagnose eye injuries on the battlefield in order to treat within the critical window, and 2) improved brain-computer interfaces to enable prosthetic limbs to have greater dexterity and longevity for wounded soldiers. The eye scanner would noninvasively test retinal function through closed eyelids. For prosthetics, researchers aim to determine why current interfaces fail and develop new flexible polymer electrodes to better record brain signals and allow complex arm movement. Findings could help other neurological conditions like Parkinson's and epilepsy.
Implanted Neural Prosthetics - an IntroductionJennifer French
This webinar discussed implanted neural prosthetics for restoring function. It defined neural prosthetics as devices that connect directly to the nervous system to replace or supplement function. The webinar outlined therapeutic applications that aim to restore voluntary motor control through temporary treatment versus prosthetic applications that replace lost function with an implanted device. Examples of neurostimulation applications included bladder control, breathing, hand function, and more. Clinical trials were discussed as the process for testing these devices, and resources were provided to learn about eligibility and participation. The webinar concluded by discussing how the Institute for Functional Restoration aims to create a sustainable commercialization model for neuromodulation systems to restore function long-term.
Neuroprosthetics are devices that detect and translate neural activity into commands for computers and prosthetics. They have the potential to help people with motor impairments by allowing thought-controlled prosthetic limbs or devices. Current neuroprosthetics include brain-computer interfaces that can control prosthetic arms or cursors on screens. Future neuroprosthetics may allow for fully functioning prosthetic limbs controlled by neural signals as well as treatments for conditions like paralysis, ALS, and multiple sclerosis. Research is ongoing to improve device function, biocompatibility, and restoration of natural motor control.
Explains the benefits of neural prostheses, or devices that can restore motor, sensory or cognitive function that might have been damaged as a result of a spinal cord injury or disease (SCI/D). It will provide an introduction to a new model to make neural prosthesis more accessible for those living with SCI/D.
• Designed a Bio Inspired Transfemoral Prosthesis System for the amputes based on Artificial Neural Networks implemented on MATLAB.
• Designed a prototype of a Prosthetic limb and trained the same using Artificial neural networks to replicate the working of the biological Limb.
• An algorithm based on discrete wavelet transforms and was developed to train the neurons in order to respond to the stimuli extracted from the amputated limb using the myoelectric signal (MES) extracted using piezo electric sensors
• Matlab was used to implement the 3 layer Neural network and the Neural network was trained using the Levenberg-Marquardt (LM) Algorithm for classification of the signals.
• The classified signal was then transmitted to a Micro controller to control the movement of the limb, servo motors were used to control the positioning of the limb to great accuracy.
• The design was implemented minimizing the weight to a great extent with great amount of flexibility and control.
• Its main application is for the amputes to live a natural life.
Getting a Handle: Technology for hand and arm restorationJennifer French
This webinar features technology to restore arm and hand function for those with paralysis from various neurological conditions. The webinar aired on Jan 21, 2015
Prosthetic hand using Artificial Neural NetworkSreenath S
Real Time Moving Prosthetic.
It's an innovative technology,improvising the prosthetic field with the application of Artificial Neural Network technology.Unlike anyother prosthetic hand, this has a Real Time data accquisition system which varies the data set according to the input signal.This is customisable to any amputee. The hardware was developed by simple and easily available materials.We have come up with a new technology in the prosthetic field.
The document discusses the design of a biomechatronic hand prototype. It introduces biomechatronics and prosthetics as artificial replacements for missing body parts. It then describes the design of the hand prototype, including the use of micro motors and lead screws for finger actuation. Position and force sensors are integrated to provide feedback. Experimental tests analyzed the force exerted by individual fingers. Advantages include independence for handicapped individuals while disadvantages are high costs and limited load capacity. Current research institutions in the field are also listed before concluding with challenges in implementing neural control interfaces.
Bab 1 akuntansi dan pengendalian intern terhadap kasRian Ekawati
Bab 1 membahas akuntansi dan pengendalian intern terhadap kas. Pengendalian intern bertujuan menjaga aset perusahaan dan meningkatkan akurasi catatan akuntansi. Prinsip-prinsipnya meliputi pembentukan tanggung jawab, pemisahan tugas, prosedur dokumentasi, pengendalian fisik/mekanis/elektronik, dan verifikasi internal independen. Kas merupakan alat pembayaran yang mudah diselewengkan sehingga diperlukan sistem pen
This paper describes the design and fabrication of a novel artificial hand based on a “biomechatronic” and cybernetic approach. The approach is aimed at providing “natural” sensory-motor co-ordination, biomimetic mechanisms, force and position sensors, actuators and control, and by interfacing the hand with the peripheral nervous system.
Designof a fully passive prosthetic kneevaasukrishhna
This document presents the design of a low-cost prosthetic knee mechanism that aims to replicate able-bodied knee motion. It includes three key axes for the mechanism's function and uses springs, dampers, and differential damping to achieve normative kinematics. Preliminary user trials were conducted with two subjects in India to test the mechanism's ability to provide a smooth stance to swing transition. Future work will focus on further optimizing the mechanism's kinematics. The ideal prosthesis would be highly realistic to provide users with self-confidence.
This document discusses the use of electromyography (EMG) signals to control a bionic arm. EMG signals are generated by muscle contractions and detected by surface electrodes on the skin. These signals are filtered and amplified before being fed into a microprocessor programmed to control motors in the artificial arm. When the user contracts their muscles, the EMG signals are processed to trigger corresponding movements in the bionic limb. Key steps include EMG signal generation and processing, as well as addressing challenges like weak signal acquisition and filter design.
The document defines orthotics and prosthetics and describes common devices used for each. Orthotics are devices that support or immobilize parts of the body, like splints or braces, while prosthetics replace missing body parts like limbs. It provides details on various static and dynamic orthoses, including examples like knee braces or back supports. For prosthetics, it outlines the components of lower and upper limb prostheses and different suspension, joint, and terminal device options. The ideal orthosis or prosthesis is described as functional, fitting well, light weight, easy to use, acceptable cosmetically, and easily maintained or repaired.
The document discusses applications of artificial intelligence in drug discovery and development. It begins with an introduction stating the overarching question of what AI applications exist and if it can make the process more efficient. It then outlines the structure of the document in answering sub-questions about what AI is, current approaches, breakthroughs, and challenges. Case studies are provided on startups like Atomwise that use AI for drug candidate generation and Phenomics AI for disease mechanism understanding. Challenges of AI include ethical concerns, regulatory hurdles, and technical obstacles but opportunities exist to make the process more efficient.
This document outlines the agenda for a conference on obtaining FDA approval for AI-based medical devices. The agenda includes presentations on paving the path for FDA approval of AI devices, an open Q&A session with the FDA's Digital Health Center of Excellence, how to align product development with FDA regulations for AI, best pre-submission practices, and an update on the 510(k) program. There will also be breaks and a summary session. The presentations will provide guidance on navigating the FDA approval process for AI medical devices and obtaining feedback prior to formal submissions.
Reforming Medical Device approval processes especially in software requires careful consideration of shifting risks to patients without adequate protections.
Vascular Devices is developing an implanted vessel clearing system to remove blockages in coronary and peripheral arteries. Their solution uses MRI mapping to navigate biocompatible modules that are programmed to remove blockages via laser ablation. This would allow access to smaller arteries compared to current tethered catheter systems. They have outlined a development roadmap and funding requirements to bring the product to market. The global market for interventional cardiovascular devices is $11.7 billion annually, currently dominated by Boston Scientific, Medtronic and Abbott who only offer tethered solutions. Vascular Devices' technology has the potential to transform endovascular treatments.
Artificial intelligence in medical imaging and radio diagnosticGourav Guwal
The document discusses the growing market for artificial intelligence applications in medical imaging and radio-diagnostics. It outlines how AI is being used for tasks like image processing, disease detection, and aiding physician diagnoses. The market is projected to significantly expand as AI can help analyze large amounts of medical image data and potentially improve outcomes over traditional human review alone.
Iaetsd recognition of emg based hand gesturesIaetsd Iaetsd
This document summarizes research on recognizing electromyography (EMG) signals from hand gestures to control prosthetics using artificial neural networks. EMG signals were collected from muscles during two hand gestures. Thirteen features were extracted from the signals and used to train and test several neural networks with different training algorithms. It was found that networks using the Levenberg-Marquardt algorithm achieved the best performance, with over 90% classification accuracy and the fastest training times, making it most suitable for accurate and rapid prosthetic control based on EMG pattern recognition.
This study examined how neural signals from the primary motor cortex of macaque monkeys could be used to control a robotic arm in real time. Researchers implanted an array of microelectrodes in the motor cortex and found that neural activity strongly correlated with arm movements. They used a population vector algorithm to decode neural firing patterns into commands to position the robotic arm. Monkeys achieved high accuracy after training, demonstrating the potential for brain-machine interfaces to restore limb function. However, challenges remain in developing stable, long-term electrode interfaces and reducing system size for applications such as neural prosthetics.
Our update for the beginning of 2014, about self-directed evolution from the constraint of biology to a substrate-independent mind (SIM) and personality, a process alluded to in science fiction with the oft-confusing term "uploading". In this talk, I present the most realistic development route to SIM via whole brain emulation (WBE), neural prostheses and neural interfaces. I describe how I contribute to make this happen, as effectively as I can, through my work as it is presented at carboncopies.org. Then, I draw your attention to the most significant development in the field at this moment, an opportunity for a widely applicable Platform for high resolution neural interfaces. That platform has the potential in the near-term to provide the access needed for true brain machine interfaces, cognitive neural prostheses and the type of data acquisition that is essential for whole brain emulation.
This document provides a comprehensive assessment of neuroprosthetic technologies. It explores how electrode detection systems like EMG and EEG translate neural signals to mechanical actions in prosthetic devices. The mechanics of neuroprosthetics aim to achieve adequate freedom of movement, simplify designs like the thumb, and enable wrist actuation. Materials used include polymers, metals, and composites to connect the human body to the machine. Additive manufacturing techniques like 3D printing are discussed for producing prosthetics and sockets. The document also examines ethical implications and provides an overall understanding of neuroprosthetics.
HMRI researchers are working on two projects to aid military personnel - developing 1) a new deep eye scanner to quickly diagnose eye injuries on the battlefield in order to treat within the critical window, and 2) improved brain-computer interfaces to enable prosthetic limbs to have greater dexterity and longevity for wounded soldiers. The eye scanner would noninvasively test retinal function through closed eyelids. For prosthetics, researchers aim to determine why current interfaces fail and develop new flexible polymer electrodes to better record brain signals and allow complex arm movement. Findings could help other neurological conditions like Parkinson's and epilepsy.
Implanted Neural Prosthetics - an IntroductionJennifer French
This webinar discussed implanted neural prosthetics for restoring function. It defined neural prosthetics as devices that connect directly to the nervous system to replace or supplement function. The webinar outlined therapeutic applications that aim to restore voluntary motor control through temporary treatment versus prosthetic applications that replace lost function with an implanted device. Examples of neurostimulation applications included bladder control, breathing, hand function, and more. Clinical trials were discussed as the process for testing these devices, and resources were provided to learn about eligibility and participation. The webinar concluded by discussing how the Institute for Functional Restoration aims to create a sustainable commercialization model for neuromodulation systems to restore function long-term.
Neuroprosthetics are devices that detect and translate neural activity into commands for computers and prosthetics. They have the potential to help people with motor impairments by allowing thought-controlled prosthetic limbs or devices. Current neuroprosthetics include brain-computer interfaces that can control prosthetic arms or cursors on screens. Future neuroprosthetics may allow for fully functioning prosthetic limbs controlled by neural signals as well as treatments for conditions like paralysis, ALS, and multiple sclerosis. Research is ongoing to improve device function, biocompatibility, and restoration of natural motor control.
Explains the benefits of neural prostheses, or devices that can restore motor, sensory or cognitive function that might have been damaged as a result of a spinal cord injury or disease (SCI/D). It will provide an introduction to a new model to make neural prosthesis more accessible for those living with SCI/D.
• Designed a Bio Inspired Transfemoral Prosthesis System for the amputes based on Artificial Neural Networks implemented on MATLAB.
• Designed a prototype of a Prosthetic limb and trained the same using Artificial neural networks to replicate the working of the biological Limb.
• An algorithm based on discrete wavelet transforms and was developed to train the neurons in order to respond to the stimuli extracted from the amputated limb using the myoelectric signal (MES) extracted using piezo electric sensors
• Matlab was used to implement the 3 layer Neural network and the Neural network was trained using the Levenberg-Marquardt (LM) Algorithm for classification of the signals.
• The classified signal was then transmitted to a Micro controller to control the movement of the limb, servo motors were used to control the positioning of the limb to great accuracy.
• The design was implemented minimizing the weight to a great extent with great amount of flexibility and control.
• Its main application is for the amputes to live a natural life.
Getting a Handle: Technology for hand and arm restorationJennifer French
This webinar features technology to restore arm and hand function for those with paralysis from various neurological conditions. The webinar aired on Jan 21, 2015
Prosthetic hand using Artificial Neural NetworkSreenath S
Real Time Moving Prosthetic.
It's an innovative technology,improvising the prosthetic field with the application of Artificial Neural Network technology.Unlike anyother prosthetic hand, this has a Real Time data accquisition system which varies the data set according to the input signal.This is customisable to any amputee. The hardware was developed by simple and easily available materials.We have come up with a new technology in the prosthetic field.
The document discusses the design of a biomechatronic hand prototype. It introduces biomechatronics and prosthetics as artificial replacements for missing body parts. It then describes the design of the hand prototype, including the use of micro motors and lead screws for finger actuation. Position and force sensors are integrated to provide feedback. Experimental tests analyzed the force exerted by individual fingers. Advantages include independence for handicapped individuals while disadvantages are high costs and limited load capacity. Current research institutions in the field are also listed before concluding with challenges in implementing neural control interfaces.
Bab 1 akuntansi dan pengendalian intern terhadap kasRian Ekawati
Bab 1 membahas akuntansi dan pengendalian intern terhadap kas. Pengendalian intern bertujuan menjaga aset perusahaan dan meningkatkan akurasi catatan akuntansi. Prinsip-prinsipnya meliputi pembentukan tanggung jawab, pemisahan tugas, prosedur dokumentasi, pengendalian fisik/mekanis/elektronik, dan verifikasi internal independen. Kas merupakan alat pembayaran yang mudah diselewengkan sehingga diperlukan sistem pen
This paper describes the design and fabrication of a novel artificial hand based on a “biomechatronic” and cybernetic approach. The approach is aimed at providing “natural” sensory-motor co-ordination, biomimetic mechanisms, force and position sensors, actuators and control, and by interfacing the hand with the peripheral nervous system.
Designof a fully passive prosthetic kneevaasukrishhna
This document presents the design of a low-cost prosthetic knee mechanism that aims to replicate able-bodied knee motion. It includes three key axes for the mechanism's function and uses springs, dampers, and differential damping to achieve normative kinematics. Preliminary user trials were conducted with two subjects in India to test the mechanism's ability to provide a smooth stance to swing transition. Future work will focus on further optimizing the mechanism's kinematics. The ideal prosthesis would be highly realistic to provide users with self-confidence.
This document discusses the use of electromyography (EMG) signals to control a bionic arm. EMG signals are generated by muscle contractions and detected by surface electrodes on the skin. These signals are filtered and amplified before being fed into a microprocessor programmed to control motors in the artificial arm. When the user contracts their muscles, the EMG signals are processed to trigger corresponding movements in the bionic limb. Key steps include EMG signal generation and processing, as well as addressing challenges like weak signal acquisition and filter design.
The document defines orthotics and prosthetics and describes common devices used for each. Orthotics are devices that support or immobilize parts of the body, like splints or braces, while prosthetics replace missing body parts like limbs. It provides details on various static and dynamic orthoses, including examples like knee braces or back supports. For prosthetics, it outlines the components of lower and upper limb prostheses and different suspension, joint, and terminal device options. The ideal orthosis or prosthesis is described as functional, fitting well, light weight, easy to use, acceptable cosmetically, and easily maintained or repaired.
The document discusses applications of artificial intelligence in drug discovery and development. It begins with an introduction stating the overarching question of what AI applications exist and if it can make the process more efficient. It then outlines the structure of the document in answering sub-questions about what AI is, current approaches, breakthroughs, and challenges. Case studies are provided on startups like Atomwise that use AI for drug candidate generation and Phenomics AI for disease mechanism understanding. Challenges of AI include ethical concerns, regulatory hurdles, and technical obstacles but opportunities exist to make the process more efficient.
This document outlines the agenda for a conference on obtaining FDA approval for AI-based medical devices. The agenda includes presentations on paving the path for FDA approval of AI devices, an open Q&A session with the FDA's Digital Health Center of Excellence, how to align product development with FDA regulations for AI, best pre-submission practices, and an update on the 510(k) program. There will also be breaks and a summary session. The presentations will provide guidance on navigating the FDA approval process for AI medical devices and obtaining feedback prior to formal submissions.
Reforming Medical Device approval processes especially in software requires careful consideration of shifting risks to patients without adequate protections.
Vascular Devices is developing an implanted vessel clearing system to remove blockages in coronary and peripheral arteries. Their solution uses MRI mapping to navigate biocompatible modules that are programmed to remove blockages via laser ablation. This would allow access to smaller arteries compared to current tethered catheter systems. They have outlined a development roadmap and funding requirements to bring the product to market. The global market for interventional cardiovascular devices is $11.7 billion annually, currently dominated by Boston Scientific, Medtronic and Abbott who only offer tethered solutions. Vascular Devices' technology has the potential to transform endovascular treatments.
Artificial intelligence in medical imaging and radio diagnosticGourav Guwal
The document discusses the growing market for artificial intelligence applications in medical imaging and radio-diagnostics. It outlines how AI is being used for tasks like image processing, disease detection, and aiding physician diagnoses. The market is projected to significantly expand as AI can help analyze large amounts of medical image data and potentially improve outcomes over traditional human review alone.
This document summarizes the business model development process of Nesher Technologies Inc., which is developing a single molecule detection technology. Through interviews with over 90 academic researchers, Nesher learned that researchers are interested in software to analyze single molecule data rather than capital equipment. Nesher also explored partnering with microscope and biotech companies but did not find product-market fit. Nesher pivoted to a software-focused business model, developing single molecule analysis software to sell to academic researchers.
PreScouter + GE Healthcare: How will the Internet of Things Impact your Indus...PreScouter
PreScouter and GE Healthcare partnered to analyze how they are researching Internet of Things technology. The presentation begins with a note from Dr. Ashish Basuray, Chief Scientist at PreScouter, Inc., an innovation consulting firm. Basuray addresses a fundamental question: why do we care to learn about new ideas, disruptive ideas like the Internet of Things? Following Basuray's introduction, Bill Shingleton, Ph.D., Technical Lead at GE Healthcare presented on the Industrial Internet of Things and how it impacts several industries. But, then he narrowed in on healthcare and GE's solution, Predix. This is the slide deck of the presentation for PreScouter's IoT Summit on October 6, 2016, from 5 -8 pm at the Schreiber Center in downtown Chicago.
For more information on disruptive technology, please visit: www.prescouter.com.
Predictive in vitro & in silico Methods for Precision Medicine- Robert G. Hun...RobertGHunter
The document summarizes a webcast presentation on predictive toxicology (PredTox) methods and their market opportunity. It discusses how PredTox fits with key trends in genomics, systems biology, and health IT. It also provides an overview of the PredTox landscape, including various in vitro and in silico technologies, applications in precision medicine, and global market drivers and forecasts. Contact information is given for BCC Research, the organization that published the webcast and related market report.
1) GE Healthcare is using RTI Connext DDS as the connectivity platform for its Industrial Internet of Things (IIoT) architecture. Connext DDS can handle many classes of intelligent machines and satisfies GE's demanding requirements.
2) GE Healthcare is leveraging the Predix architecture to connect medical devices, cloud analytics, and mobile/wearable instruments. The future communication fabric of its monitoring technology is based on Connext DDS.
3) Physio-Control uses Connext DDS to exchange critical patient care information throughout the system of care, connecting vehicle systems, cloud systems, and infrastructure systems.
What are leadership The simple definizion is that leadership - islorileemcclatchie
What are leadership? The simple definizion is that leadership - is the art of motivating a group of people to act toward achieving a common goal. In a business setting it can mean directing workers and colleagues with a strategy to meet the company's needs.
This leadership definition captures the essentials of being able and prepared to inspire others. Effective leadership is based upon ideas (whether original or borrowed), but won't happen unless those ideas can be communicated to others in a way that engages them enough to act as the leader wants them to act.
Put even more simply, the leader is the inspiration for and director of the action. They are a person in the group that possesses the combination of personality and leadership skills to make others want to follow their direction.
<To develop a new medical device for China market >
< PMGT 699 – Applied Project Management >
Prepared By
< Soumitra G Shilotri >
<02/11/2020>
1.Executive Summary 3
2.Project Overview 5
2.1 Project Description 5
2.2 Problem Statement 5
2.3 Goals 5
2.4 Project Background 7
2.5 Product Objectives 7
2.6 Assumptions, Constraints and Dependencies 7
2.7 Project Deliverables 8
2.8 Schedule and Budget Summary 9
2.9 Evolution of the Plan 10
2.10 Definitions and Acronyms 10
3.Stakeholder Register 12
4.Schedule Component 14
5.Resource Plan with RACI 18
5.1Overview/Purpose 18
5.2 Resourcing Strategy & Assumption 18
5.3 Resourcing Development 18
6.Risk Management Plan 21
6.1 Review of Risk Management Plan 21
6.2 Risk Identification 21
7.Communications Plan 24
8. Procurement 28
9. Cost…………………………………………………………………………………………..30
10. Integrated Change Control 341.Executive Summary
1.1 Introduction
Johnson and Johnson (J&J) is an American multinational company that develops medical devices, pharmaceutical drugs and consumer products. J&J is one of the largest medical device companies in the world. There are various subsidiaries of J&J, however the medical device business of J&J includes 3 global franchises; mainly Ethicon (surgical), Bio-sense Webster (Cardiovascular & Speciality solutions) and Depuy Synthes (Orthopaedics). J&J has a presence in over 100 countries worldwide and the medical device companies manufactures and does R&D on various different kinds of surgical devices, implants that are used by doctors in laparoscopic surgeries.
Current project that I will be working on is named as Project RoadRunner by the project team. The project is to develop a new medical device implant for China market. The implant is a sterile product that is used by surgeons during bariatric surgeries. This implant is used alongside a vascular stapler and will improve the staple line integrity, force to fire and staple performance during surgery. This will be a big boost in the existing line of stapling implants by improving performance reliability and decrease market complaints. So far for earlier legacy devices, we were using 2-D st ...
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Intel faced challenges developing new photolithography technology and organized an industry consortium called EUV LLC to coordinate research efforts. However, problems emerged as the US government intervened and technical progress stalled. Intel was forced to extend existing technologies and push back EUV development timelines. Effective organization of R&D requires balancing internal and external efforts, exploration and exploitation, and value creation with value capture.
A review of recent trends in the health sector using Blockchain Technology (BT)IRJET Journal
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This document summarizes the experience and qualifications of Greg Browne as a medical device R&D manager and design lead. He has over 15 years of experience in product development for consumer and medical devices. Some of his key qualifications include expertise in design management processes, usability research, agile development methodologies, and familiarity with FDA regulations for medical devices. He has experience leading cross-functional teams and new product development from concept through commercialization.
BullFrog AI is a technology enabled drug development company using machine learning to usher in a new era of precision medicine. Through its collaborations with leading research institutions, including Johns Hopkins University and J. Craig Venter Institute, BullFrog AI is at the forefront of AI-driven drug development. Using its proprietary bfLEAP™ artificial intelligence platform, BullFrog AI aims to enable the successful development of pharmaceuticals and biologics by predicting which patients will respond to therapies in development. BullFrog AI is deploying bfLEAP™ for use at several critical stages of development with the intention of streamlining data analytics in therapeutics development, decreasing the overall development costs by decreasing failure rates for new therapeutics, and impacting the lives of countless patients that may have otherwise not received the therapies they need.
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How are neurotechnologies unraveling the mystery of our brain and opening new business opportunities?
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2. Technology Overview
• Translates neurological
signals into tangible
movements
• Computer cursors
• Wheelchairs
• Robotic arms
• Prosthetics
• Stimulates damaged brain
tissue
• Helps restore lost motor
function
braingate.com
3. How it Works
• Implanted brain chip reads
neurological signals
• Computer processing system
analyzes and translates them
• Output devices operate
according to the user’s thoughts
braingate.com
4. Host Company:
• Founded in 2008
• Privately held company specializing in tools for the neural
engineering and neuroprosthetics research and clinical
communities
• Focus on implantable microsystems
• Supports research projects of other companies
• long-standing partnerships with industry leaders and
top research universities
• Aware of cutting-edge technologies from the start
7. Key Challenges
• Technological Development
• Component improvements
• Integration
• Overall capabilities
• FDA and Insurance approval
• FDA approval essential to obtain before marketing
• Without Insurance coverage, patients won’t want Neural BCIs
• Market dynamics
• Critical to be first to market
• Market size is small, so reputation and brand recognition are
important
technologyreview.com
8. Technology Strategy
• Product Development
• Heavy and immediate R&D
investment
• Obtain licensed technologies from
other companies
• Prosthetics
• Robotic arms
• FDA/Insurance Approval
• Hire an experienced legal team to
address potential problems before
they arise
• Apply for patents to protect the
technology while going through
the lengthy processes
• Market
• License out microchip and
analysis system to researchers to
bring in revenue for continued
development
• Enter the market before
competitors
• First mover advantage
• Dominant design advantage
9. Technology Intelligence
• B.S., M.S. Biomedical
Engineering; Ph.D.
Mechanical Engineering
• Assistant professor of
Mechanical Engineering and
Physical Medicine &
Rehabilitation at Vanderbilt
University.
• Biocompatibility and long
term viability could be an
issue
• It is possible to regrow and
retrain neural circuits, so the
stimulation aspect could be
helpful
Dr. Karl Zelik
• B.E., M.S., Ph.D. Chemical
Engineering
• Adjunct professor of
Biomedical Engineering at
Vanderbilt University
Dr. Valerie
Guenst
• Deep Brain Stimulation
devices are generally covered
by insurance, so it’s possible
for Neural BCIs
• The lack of understanding
about the brain is a major
setback for advancement
13. Financial Outlook
Year of Launch 2025
Total Market 5 million
Initial Served Market 10%
Served Market in 2035 36%
Unit Sales Price $20,000
Cost of Materials $8000
Value Added $5000
Service Life 25 Years
General Inflation Rate 1.68%
Risk-Free Rate of Return 2.25%
Weighted Average Cost of Capital 14%
Net Present Value $162,607
14. Conclusion
• Valuable opportunity for paralyzed
patients to regain neuromuscular
abilities or the ability to
communicate
• Investment and support from major
research foundations, companies,
and the U.S. government
• Small initial market, but potential to
alter the technology for expansion
into noninvasive applications
• Blackrock already has its
BCIs in clinical trials,
years ahead of most
competitors
braingate2.org
15. References
(2016). Retrieved from OneSource: https://www.google.com/url?q=https://app-avention-
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b262586d6109%23report/industry_peer_analysis&sa=D&ust=1455026446358000&usg=AFQjCNEDKjyR4h_wtjjvh_jirFjzZyFkbw
Austin, T. B.-R. (2015). Entering the Smart-Machine Age. Gartner, Inc. Retrieved January 23, 2016, from
<http://www.gartner.com/document/3154517?ref=solrAll&refval=161797381&qid=ff70953fa3b239c5536ef302a18e5e8f>
Davies, S. a. (2014). Business Moment: Wearable Technology Predicts and Prevents a Diabetic Crisis. Gartner Inc. Retrieved
January 23, 2016, from
<http://www.gartner.com/document/2841417?ref=solrAll&refval=161797820&qid=f90b8359ba37eb2b111051d73bfbc0dc>
Fisher, A. (2013, December 15). Don't ask why. ask where. New York Times Magazine, pp. 42-47.
Intendix. (2014). Retrieved from Intendix.com.
Pandarinath, C. (2016, January 21). Advancing Brain-Machine Interfaces Towards Clinical Viability.
Pandarinath, D. C. (2016, January 21). Advancing Brain-Machine Interfaces Towards Clinical Viability.
ReNaChip. (2016). Retrieved January 28, 2016, from G.tec Medical Engineering:
https://www.google.com/url?q=http://www.gtec.at/Research/Projects/ReNaChip&sa=D&ust=1455026446351000&usg=AFQjCNG
EFsUHMv4iE0S3NutOmUqlPXj8BA
Shih, J. J., Krusienski, D. J., & Wolpaw, J. R. (2012, March). Brain-Computer Interfaces in Medicine.
doi:10.1016/j.mayocp.2011.12.008
Wadsworth Center. (2015). Retrieved from Wadsworth.org: http://www.wadsworth.org/bci/faq.html
Wood, L. (2014, April 4). Deep Brain Stimulation Devices Market for Parkinson's Disease - Global Industry Analysis, Size, Share,
Growth, Trends and Forecast, 2013 - 2019. PR Newswire. Retrieved January 30, 2016, from
http://www.researchandmarkets.com/reports/2782471/deep_brain_stimulation_devices_market_for.htm
Editor's Notes
Neural Brain-Computer Interfaces are a revolutionary technology which allows patients who are paralyzed due to injury or neuromuscular disorders to interact with the world more fully by allowing them to operate an external machine or device with their thoughts, letting them better communicate and increasing their independence. Depending on the individual’s needs, the BCI can be linked with various output devices. These include: computer monitors, wheelchairs, prosthetics, and robotic arms. The BCIs are also capable of stimulating damaged brain tissue, aiding in the regeneration of neural pathways and, depending on each user’s situation, possibly allowing the restoration of lost muscular and motor functions.
The BCI consists of three main components. The first part is a microchip, which is implanted on the surface of a user’s brain and serves to read neurological signals, which change based on what the patient is thinking. It also stimulates damaged areas of the brain to aid in healing. The second component is a computer processing system, which is capable of both analyzing these signals to provide medical feedback, and of translating them into actions expressed by the output device. These output devices, which are the third part of the BCI, operate according to the user’s thoughts and require no external operator. As mentioned previously, the form of output product depends on the needs of the individual and what remaining neuromuscular ability they have.
We chose Blackrock Microsystems as our host company because it is a corporation that, while new to the Neural BCI field, is experienced with neurological implants and neural-analysis computer systems. It is a privately held company that was founded in 2008, and has a strong focus on implantable microsystems, which is the first part of a Brain-Computer Interface. This gives it a strong base understanding of some of the most essential BCI components, as well as an already formidable market presence among potential future BCI consumers. Along with its emphasis on sales, Blackrock also supports neurological research endeavors outside of its own domain. It has long-standing partnerships with industry leaders and top research universities such as Stanford, Brown, and Johns Hopkins, enabling it to be aware of new, cutting-edge, and potentially competing technologies from the start.
The ultimate consumers of Neural BCIs will be those who have some form of paralysis, the causes of which are shown in the graph on the left. Neural BCIs can be beneficial for patients of most of the listed causes; however, the technological implications of such varied degrees of brain function are yet to be completely addressed.
Still, approximately 5.6 million Americans are paralyzed, not including those suffering from ALS to whom this technology could also apply. Most of them would be willing to undergo the procedure necessary to install a Neural BCI, as displayed in the graph on the left. This factor is essential to the technology’s market success, since if no one is willing to use it, the device will not sell. It is important to note that the consumers will not be reached directly by Blackrock. Instead, the technology will be marketed to hospitals, primarily research-focused ones at first. By making hospitals the target market rather than suppliers who would then distribute the BCIs, to hospitals themselves, Blackrock enables the price to be kept as low as possible. The number of hospitals in North America in total is currently 31,565 (onesource), but our main focus would be those of larger size (500+ employees) because they will be more likely to initially invest in BCIs and implement them to due increased funds and resources. This lowers the market size to 2,041 hospitals, representing 6.4% of the total market. These large hospitals are projected to increase in presence and additionally arise as expansions to current, smaller hospitals are completed, presenting the possibility for a growing market and increased BCI success.
Blackrock is currently the only one of its major competitors (Ripple and G.tec) to have a Neural BCI in clinical trials. This gives it a significant advantage in terms of potential for entering the market first with its technology. However, Blackrock will have to complete with the current incumbent technology, Deep Brain Stimulation, to gain a greater share of the market. While they don’t do exactly the same thing, DBS is gaining popularity among patients who are not totally paralyzed but have a neuromuscular disorder to help them regain some control. Neural BCIs are safe in that their capabilities are far more advanced than DBS, but they still need to become a viable option in the minds of those who could use them, so that they don’t choose DBS over our technology. The two have similar longevities, both being expected to last for the duration of a patient’s lifetime, and Neural BCIs also have the advantage in extensibility since they are largely based on a computer program so their abilities can be improved with relative ease. However, there are some major disadvantages that must be addressed if BCIs are to be successful on the market. Most importantly, the technological maturity and performance need to be improved. (Discussion continued on next slide)
In order for BCIs to be worth the investment they require, they need to be able to function as seamlessly and ably as a user’s natural muscle impulses. A patient should be able to perform as many tasks as they could with normal muscular function, and the BCI shouldn’t get stuck when complex actions are attempted, so further development is still required in order to close the advantage gap displayed on the previous slide. Other key challenges include the necessity for FDA and insurance approval, and market dynamics. FDA approval is absolutely essential to obtain if Neural BCIs are going to be sold in the United States, especially in hospitals. Similarly, coverage of insurance companies is also very important with regards to patient willingness to use the technology. The significance of being the first to market is especially large in the Neural BCI market because its size is relatively small. This means that reputation and brand recognition will play a pivotal role once competitors begin to introduce their technologies, as it will determine which company more patients will choose and thus who will end with the market majority.
In terms of product development and being the first to market, the most important action to be taken is to invest heavily in research and development. This is not only for continued improvement of the technology but also to ensure that Blackrock is the first to complete development and that it creates a high quality product. This can be aided by purchasing licensed technologies from other companies, especially for components with which Blackrock is not experienced, such as prosthetics and robotic components. It can always go back later and develop its own, but for now, while the first mover advantage is at stake, Blackrock should save time by obtaining these parts elsewhere and using its resources to improve those components for which it has patents.
Both Dr. Karl Zelik and Dr. Valeries Guenst are Vanderbilt professors who are knowledgeable about the current noninvasive BCIs and Deep Brain Stimulators currently on the market. Both shared similar views on the feasibility of Neural BCIs. Both believed that they are possible, but that there are many obstacles that need to be overcome before they are ready for mainstream use. Dr. Zelik felt that the compatibility of the microchip and potentially prosthetic portions of the BCI could be an issue. This would be difficult to solve if either part began to degrade while implanted in a patient, since both would require an additional surgery. However, he was optimistic that the neural stimulation capability could be a strong selling point, since it would aid with actual recovery. Dr. Guenst noted that there is still a lot that isn’t understood by scientists and doctors about the brain, even those that deal with DBS. In order for BCIs to be successful, there is still much research to be done. Once this happens, though, she felt that insurance coverage would be a likely possibility since DBS is covered and BCIs are a similar technology.
This process was generally discussed during the technology strategy plan, but here is a visual representation of what needs to happen across Blackrock’s infrastructure in order to get Neural BCIs to market in the target launch year of 2025. Under technology, we see improved microchips, signal processing units, and mechanical extensions. They all will be improved to give the BCI capabilities such as precise neural signal recognition and processing, as well as realistic mechanical movements. These will all be integrated into their individual components which will then be combined into the final Neural BCI. This will be sold to hospitals in order to ultimately reach the patients who need them, and certain portions of the technology will be licensed along the way to bring in essential revenue.
Since some of Blackrock’s competitors are of greater size, Blackrock will start out with a very small portion of the market. However, its first mover advantage and establishment of a dominant design will help it to slowly gain a greater market share as time goes on, especially as new generations of the technology are introduced. Neural BCIs have a fairly high profit margin, which is essential since they are difficult to mass-produce. Over time, as production capabilities improve, the gross margin will increase since costs are expected to go down, eventually allowing Blackrock to obtain a roughly 30% return on sales.
As can be seen in the graph above, it will take roughly 3 to 4 years for Neural BCIs to generate a positive return on investment. However, once the technology starts becoming profitable, profits will increase at a significant rate. In order to improve overall performance, BrainGate should follow high scale economics and initially invest in manufacturing resources that will reduce the cost of production. By reducing the cost of production for each unit, the payback period will decrease and the cumulative net flow will increase dramatically.
Here is a summary of the financial outlook for Neural BCIs. A few important values to note are the year of launch, total market, and the net present value. The high positive net present value indicates that the technology is a favorable investment despite its high materials cost and unit sales price.
In summary, Neural BCIs are a revolutionary technology that are capable of offering a life back to paralyzed patients that no other product can. The ability to communicate or become partially mobile again is invaluable, and the BCIs will likely be received very favorably once introduced. The BrainGate project under Blackrock Microsystems is already supported financially by many major research foundations, industry leaders, and departments of the U.S. government, so its exciting progress can be expected to continue, especially once additional investments are made. Although the initial market is small, Blackrock’s resources offer the potential for expansion into noninvasive applications of its highly advanced Neural BCI. Since the company already has them in clinical trials, we can expect to see Neural BCIs on the market within the next decade, years ahead of Blackrock’s competitors.