The document discusses how the Internet of Things (IoT) can transform healthcare. IoT uses sensors, connectivity, and data analysis to generate insights from real-time patient and medical equipment data. This allows for remote monitoring of patients, automation of healthcare processes, and more accurate decision making. Implementing IoT in healthcare can improve patient experiences and outcomes, reduce costs, and address challenges like physician burnout.
The document discusses various applications of IoT in healthcare, including the OpenAPS open source artificial pancreas system, continuous glucose monitoring which tracks glucose levels, activity trackers used to monitor patients during cancer treatment, smart inhalers that detect inhaler use via Bluetooth, connected contact lenses that could measure glucose levels via tears, and a depression-fighting Apple Watch app that tracks mood over time. Some challenges of IoT in healthcare mentioned are device management, technical malfunctions, data security, active monitoring, and database management.
Iaetsd io t based advanced smart health care systemIaetsd Iaetsd
This document proposes an IoT-based smart health care system called the Smart Hospital System (SHS). The SHS uses technologies like RFID, wireless sensor networks, and smart mobile devices to automatically monitor patients, medical staff, and devices in hospitals. It collects environmental and physiological data in real-time using a hybrid sensing network. The data is sent to a control center where it can be accessed locally and remotely through a web interface. A prototype was implemented that demonstrated tracking patients and responding to emergencies like falls. The system aims to improve healthcare efficiency while reducing costs.
IoTHealthcare Model using an Open IoT Platform gayathrie pk
Most IoT platforms have been developed in an effort to be universally appied to various services and applications. However, critical success factor of IoT is an explosion of demand for services. Therefore the goal will be achieved if the service and the application are reflected their characteristics for each use case. Hence I presented an IoT platform for healthcare and suggested to configure it with 5 components in this paper. Moreover this paper introduced REST APIs as an interface in the platform for interoperability with any service and device
313 – Security Challenges in Healthcare IoT - MEEQS Group
The document discusses security challenges for medical IoT devices. It begins with background on cyber-physical systems, Industry 4.0, and the context of IoT. It then presents a threat model for medical IoT devices, outlining risks across the device lifecycle from physical security to orchestration issues. Regulatory requirements for medical device cybersecurity from the FDA and EU are summarized. Suggestions for improvement include standardizing network communication, strengthening regulations, adopting a security-by-design approach, and supporting secure and agile software updates.
This document discusses using IoT devices and sensors in healthcare systems. It proposes a system that uses sensors to monitor patients' health data and send it to a cloud database accessed by doctors and the patients themselves. The system aims to allow for remote health monitoring, early detection of health issues before diseases develop, and personalized care based on individual health statuses measured by sensors. This could help reduce healthcare costs, improve treatment outcomes and patient experience compared to traditional systems without remote monitoring capabilities.
The document discusses how the Internet of Things (IoT) can transform healthcare. IoT uses sensors, connectivity, and data analysis to generate insights from real-time patient and medical equipment data. This allows for remote monitoring of patients, automation of healthcare processes, and more accurate decision making. Implementing IoT in healthcare can improve patient experiences and outcomes, reduce costs, and address challenges like physician burnout.
The document discusses various applications of IoT in healthcare, including the OpenAPS open source artificial pancreas system, continuous glucose monitoring which tracks glucose levels, activity trackers used to monitor patients during cancer treatment, smart inhalers that detect inhaler use via Bluetooth, connected contact lenses that could measure glucose levels via tears, and a depression-fighting Apple Watch app that tracks mood over time. Some challenges of IoT in healthcare mentioned are device management, technical malfunctions, data security, active monitoring, and database management.
Iaetsd io t based advanced smart health care systemIaetsd Iaetsd
This document proposes an IoT-based smart health care system called the Smart Hospital System (SHS). The SHS uses technologies like RFID, wireless sensor networks, and smart mobile devices to automatically monitor patients, medical staff, and devices in hospitals. It collects environmental and physiological data in real-time using a hybrid sensing network. The data is sent to a control center where it can be accessed locally and remotely through a web interface. A prototype was implemented that demonstrated tracking patients and responding to emergencies like falls. The system aims to improve healthcare efficiency while reducing costs.
IoTHealthcare Model using an Open IoT Platform gayathrie pk
Most IoT platforms have been developed in an effort to be universally appied to various services and applications. However, critical success factor of IoT is an explosion of demand for services. Therefore the goal will be achieved if the service and the application are reflected their characteristics for each use case. Hence I presented an IoT platform for healthcare and suggested to configure it with 5 components in this paper. Moreover this paper introduced REST APIs as an interface in the platform for interoperability with any service and device
313 – Security Challenges in Healthcare IoT - MEEQS Group
The document discusses security challenges for medical IoT devices. It begins with background on cyber-physical systems, Industry 4.0, and the context of IoT. It then presents a threat model for medical IoT devices, outlining risks across the device lifecycle from physical security to orchestration issues. Regulatory requirements for medical device cybersecurity from the FDA and EU are summarized. Suggestions for improvement include standardizing network communication, strengthening regulations, adopting a security-by-design approach, and supporting secure and agile software updates.
This document discusses using IoT devices and sensors in healthcare systems. It proposes a system that uses sensors to monitor patients' health data and send it to a cloud database accessed by doctors and the patients themselves. The system aims to allow for remote health monitoring, early detection of health issues before diseases develop, and personalized care based on individual health statuses measured by sensors. This could help reduce healthcare costs, improve treatment outcomes and patient experience compared to traditional systems without remote monitoring capabilities.
The UK's Whole System Demonstrator trial from 2008 was the largest randomized controlled study of telehealth and telecare in the world, involving over 6,000 patients across 238 general practices in three sites. The trial found reductions of 45% in mortality rates, 20% in emergency admissions, 15% in A&E and elective visits, and 14% in bed days and costs. It was evaluated by several UK universities and institutions.
The document summarizes experiences and challenges with delivering ambient assisted living (AAL) projects in Ireland. It describes several AAL projects including a simulated smart home lab with sensors to monitor presence, doors/windows, health devices, and more. Data from the sensors allows analyzing how people live their lives. An internet-connected smart home automation system was also implemented in 16 homes to remotely monitor security alarms and allow voice calls. The document concludes by introducing the CABIE software architecture used to interface sensors, process data, and provide AAL services and interventions.
Iot, cloud and healthcare - Challenges and OpportunitiesArash Ghadar
The document discusses the opportunities and challenges of using IoT, cloud computing, and telehealth in healthcare. It provides several case studies of current IoT applications in industries like oil & gas, food, and medical. Key challenges identified are ensuring timely and reliable data delivery, network and data security, and complex certification processes. The future of telehealth is seen as improving healthcare access and reducing costs through remote monitoring and treatment of chronic diseases, though security and regulatory barriers must still be addressed.
The Evolution of Wearable M-Health Applications - Mobile Health Expo New York...Ofer Atzmon
This document discusses the evolution of wearable mobile health applications. It defines wearable systems as integrating embedded non-invasive sensors, intelligent processing, and wireless communications to enable remote patient monitoring. Examples of recent products and research include smart garments, body area networks, and devices that monitor physiological and environmental parameters. While wearable systems face challenges in size, comfort and power consumption, advances in technology are making them more practical for both healthcare and consumer fitness applications.
Innovative Mobile-Health Solutions for Smart Homes - 2005 Home Toys MagazineOfer Atzmon
1) Advances in biosensors and wireless technologies enable new mobile health solutions like MDKeeper and SKeeper that allow continuous remote patient monitoring and distress alerts to improve elderly care.
2) These solutions represent a shift from hospital-based to home-based healthcare driven by rising costs and aging populations.
3) Future integration of these mobile health solutions into smart homes could further improve care quality and access while reducing costs.
The document discusses how internet of medical things (IOMT) can transform healthcare by creating a connected ecosystem. It describes how IOMT uses devices and sensors to remotely monitor patients and share health data with providers in order to improve care and reduce costs. The document outlines several IOMT innovations and applications including smart hospitals, connected home devices, and automated medication reminders. It also acknowledges challenges in developing IOMT such as privacy and security concerns but expresses optimism about the future potential of a more integrated healthcare system through emerging technologies.
This document discusses how the Internet of Things (IoT) can transform healthcare. IoT connects sensors, devices, and systems to analyze real-time data and enable remote monitoring of patients and assets. It describes how IoT can improve patient experiences and outcomes by automatically conveying clinical information, monitoring locations in real-time, and executing pre-configured decisions. IoT also allows remote care through features like automatically sending abnormal patient values to doctors and enabling virtual visits. When implemented in healthcare, IoT can reduce costs and medical errors while improving revenues, coverage, and the patient and caregiver experience.
Innomantra viewpoint vital sign monitors covid 19 v1.0FF July 2020Innomantra
SUMMARY
The COVID-19 pandemic has generated an unprecedented health crisis world-wide. Remote monitoring of COVID-19 patients is a crucial requirement since this enables continuous patient monitoring without compromising the safety of the health care provider. Remote monitoring using wearables can be obtrusive and uncomfortable for the user, especially when used for long periods of time. Advances in wireless transmission systems and signal processing have enabled researchers to monitor vital signs by analysing characteristics of wireless signals that have reflected off of the subject. Wireless signals for sensing vital signs has been developed since 2015 but there are still significant challenges to be overcome. One of the challenges in using wireless signals to monitor vital signs is that any motion in the environment affects the signal. Furthermore, the presence of multiple users prevents systems from operating error free, even if the users are stationary.
The key player in the wireless vital signs monitoring is MIT’s Emerald Innovations with its wireless sensing technology that monitors breathing and heart rate without body contact. Another player is Origin Wireless with its Origin Health, that enables accurate respiratory, monitoring at home without intrusive wearables. ResMed and Microsoft/University of Washington are other players that have developed wireless vital signs monitoring technology. But they do not seem to be commercializing their technology for COVID-19. Though there are some developments in wireless vital signs technology, there are significant opportunities for other players to innovate. Interference, Patient Movements and multiple user differentiation are some of the problems that need to be addressed to improve the accuracy and sensitivity. The remote vital signs monitoring market is projected to reach US$31.326 billion by the end of 2023 and will become increasingly important and ubiquitous.
2005 NBC Conference Biomedical Engineering Sweden Abstract - Wearable Mobile ...Ofer Atzmon
This document summarizes a new e-health system called TeleMedIS that is being evaluated at Karolinska University Hospital in Sweden. The system consists of three main components: 1) a wireless wrist-wearable device called TMW that remotely monitors patients' vital signs, 2) a telemedicine home-care software platform, and 3) a wireless network provided by TeliaSonera Sweden AB. The system allows continuous monitoring of patients' pulse, ECG, and blood oxygen from their homes, work or on-the-go while enabling two-way communication with medical professionals. TeleMedIS is currently undergoing engineering, clinical and usability trials to evaluate its acceptance and benefits for the Swedish healthcare system.
Mr. Sanjay Dhandare presented a seminar on developing an advanced health care system using the Internet of Things. The presentation discussed monitoring various body parameters using a body area network and transmitting the data via IoT. It proposed objectives like establishing communication between patients and relatives, integrating sensors to monitor temperature, pulse and acceleration. The methodology included a literature review, selecting a controller, interfacing sensors and transmitting data wirelessly. Benefits included speeding communication, immediate alerts in emergencies and reduced mortality. The system was concluded to help reduce deaths by enabling monitoring and alerts during health issues.
IoT is a combination of hardware and software technology that produces trillions of data through connecting multiple devices and sensors with the cloud and making sense of data with intelligent tools
IoT in Healthcare is a heterogeneous computing, wirelessly communicating system of apps and devices that connects patients and health providers to diagnose, monitor, track and store vital statistics and medical information.
BigData in Health Care Systems with IOTFaimin Khan
Nowadays Big Data is playing very important role in Day-to-Day life from Social Network to Educaion,From Banking to Business then Why not in healthcare.
Mobile phones, sensors, patients, hospitals, researchers, providers and organizations are nowadays generating huge amounts of healthcare data. The real challenge in healthcare systems is how to find, collect, analyze and manage information to make people's lives healthier and easier
By contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and make real-time decisions.
A modern healthcare IoT platform with an intelligent medicine box along with sensors for health monitoring and diagnosis is proposed here. Health care services based on Internet of Things have great potential in medical field. In this paper, an intelligent home-based medicine box with wireless connectivity along with an android application (Health-IoT) that helps patients and doctors to be in a more close communication. The proposed platform has an intelligent medicine box that gives alerts for patients to take their medication at the right time. The box is wirelessly connected to internet to make timely updates about medicines which will be notified in the android application with in patient’s smartphone. The system automatically gives alarm so that the patient takes the right medicine at the right time. And if there are any vital signs noticed SMS alerts are given to the predefined guardian.
Implementation of IoT in Healthcare DomainDiksha Prakash
This presentation talks about implementation of IoT in Healthcare domain. It contains introduction, analysis, future scope, challenges etc. on the same.
Healthcare IoT and Analytics to treat Parkinsonsrcnossen
Rick Cnossen from Intel discussed transforming healthcare with the Internet of Things (IoT). IoT can help drive outcomes-based payment, wellness programs, reduce costs of chronic care, and help with clinical trials. Intel's vision is to connect computing technology to people worldwide. Wearable devices can help manage Parkinson's disease by continuously tracking symptoms, activity, sleep, and tremors to provide accurate reports between doctor visits. Big data analytics of information from many patients can provide insights to help research and pharmaceuticals. Challenges to address include the lack of objective measures between infrequent doctor visits and the high costs and small sizes of clinical trials.
Internet of Things (IoT) has wide applications in the healthcare sector. It allows for real-time patient monitoring and analysis from remote locations using sensors and devices. IoT improves various areas of hospital operations like patient tracking, hygiene maintenance, record keeping, smart equipment, billing and procurement. However, IoT also faces challenges like privacy concerns, high costs, lack of standards and need for regulations. If these challenges are addressed, IoT has potential to transform healthcare delivery and outcomes in the future.
IRJET- Virtual Assistant for Medical EmergencyIRJET Journal
The document describes a proposed virtual assistant for medical emergencies using IoT. The system would involve a wearable device like a wristband with sensors to monitor vital signs. If the signs indicate a medical emergency, the device would alert emergency services and provide the patient's medical history. It would also notify family members. The system aims to reduce response times in medical emergencies to improve outcomes. Key challenges include accurately detecting emergencies, secure data transmission, and avoiding false alarms. The proposed solution involves continuous health monitoring, emergency detection and response, automatic medical history access in emergencies, and location tracking to direct responders.
The UK's Whole System Demonstrator trial from 2008 was the largest randomized controlled study of telehealth and telecare in the world, involving over 6,000 patients across 238 general practices in three sites. The trial found reductions of 45% in mortality rates, 20% in emergency admissions, 15% in A&E and elective visits, and 14% in bed days and costs. It was evaluated by several UK universities and institutions.
The document summarizes experiences and challenges with delivering ambient assisted living (AAL) projects in Ireland. It describes several AAL projects including a simulated smart home lab with sensors to monitor presence, doors/windows, health devices, and more. Data from the sensors allows analyzing how people live their lives. An internet-connected smart home automation system was also implemented in 16 homes to remotely monitor security alarms and allow voice calls. The document concludes by introducing the CABIE software architecture used to interface sensors, process data, and provide AAL services and interventions.
Iot, cloud and healthcare - Challenges and OpportunitiesArash Ghadar
The document discusses the opportunities and challenges of using IoT, cloud computing, and telehealth in healthcare. It provides several case studies of current IoT applications in industries like oil & gas, food, and medical. Key challenges identified are ensuring timely and reliable data delivery, network and data security, and complex certification processes. The future of telehealth is seen as improving healthcare access and reducing costs through remote monitoring and treatment of chronic diseases, though security and regulatory barriers must still be addressed.
The Evolution of Wearable M-Health Applications - Mobile Health Expo New York...Ofer Atzmon
This document discusses the evolution of wearable mobile health applications. It defines wearable systems as integrating embedded non-invasive sensors, intelligent processing, and wireless communications to enable remote patient monitoring. Examples of recent products and research include smart garments, body area networks, and devices that monitor physiological and environmental parameters. While wearable systems face challenges in size, comfort and power consumption, advances in technology are making them more practical for both healthcare and consumer fitness applications.
Innovative Mobile-Health Solutions for Smart Homes - 2005 Home Toys MagazineOfer Atzmon
1) Advances in biosensors and wireless technologies enable new mobile health solutions like MDKeeper and SKeeper that allow continuous remote patient monitoring and distress alerts to improve elderly care.
2) These solutions represent a shift from hospital-based to home-based healthcare driven by rising costs and aging populations.
3) Future integration of these mobile health solutions into smart homes could further improve care quality and access while reducing costs.
The document discusses how internet of medical things (IOMT) can transform healthcare by creating a connected ecosystem. It describes how IOMT uses devices and sensors to remotely monitor patients and share health data with providers in order to improve care and reduce costs. The document outlines several IOMT innovations and applications including smart hospitals, connected home devices, and automated medication reminders. It also acknowledges challenges in developing IOMT such as privacy and security concerns but expresses optimism about the future potential of a more integrated healthcare system through emerging technologies.
This document discusses how the Internet of Things (IoT) can transform healthcare. IoT connects sensors, devices, and systems to analyze real-time data and enable remote monitoring of patients and assets. It describes how IoT can improve patient experiences and outcomes by automatically conveying clinical information, monitoring locations in real-time, and executing pre-configured decisions. IoT also allows remote care through features like automatically sending abnormal patient values to doctors and enabling virtual visits. When implemented in healthcare, IoT can reduce costs and medical errors while improving revenues, coverage, and the patient and caregiver experience.
Innomantra viewpoint vital sign monitors covid 19 v1.0FF July 2020Innomantra
SUMMARY
The COVID-19 pandemic has generated an unprecedented health crisis world-wide. Remote monitoring of COVID-19 patients is a crucial requirement since this enables continuous patient monitoring without compromising the safety of the health care provider. Remote monitoring using wearables can be obtrusive and uncomfortable for the user, especially when used for long periods of time. Advances in wireless transmission systems and signal processing have enabled researchers to monitor vital signs by analysing characteristics of wireless signals that have reflected off of the subject. Wireless signals for sensing vital signs has been developed since 2015 but there are still significant challenges to be overcome. One of the challenges in using wireless signals to monitor vital signs is that any motion in the environment affects the signal. Furthermore, the presence of multiple users prevents systems from operating error free, even if the users are stationary.
The key player in the wireless vital signs monitoring is MIT’s Emerald Innovations with its wireless sensing technology that monitors breathing and heart rate without body contact. Another player is Origin Wireless with its Origin Health, that enables accurate respiratory, monitoring at home without intrusive wearables. ResMed and Microsoft/University of Washington are other players that have developed wireless vital signs monitoring technology. But they do not seem to be commercializing their technology for COVID-19. Though there are some developments in wireless vital signs technology, there are significant opportunities for other players to innovate. Interference, Patient Movements and multiple user differentiation are some of the problems that need to be addressed to improve the accuracy and sensitivity. The remote vital signs monitoring market is projected to reach US$31.326 billion by the end of 2023 and will become increasingly important and ubiquitous.
2005 NBC Conference Biomedical Engineering Sweden Abstract - Wearable Mobile ...Ofer Atzmon
This document summarizes a new e-health system called TeleMedIS that is being evaluated at Karolinska University Hospital in Sweden. The system consists of three main components: 1) a wireless wrist-wearable device called TMW that remotely monitors patients' vital signs, 2) a telemedicine home-care software platform, and 3) a wireless network provided by TeliaSonera Sweden AB. The system allows continuous monitoring of patients' pulse, ECG, and blood oxygen from their homes, work or on-the-go while enabling two-way communication with medical professionals. TeleMedIS is currently undergoing engineering, clinical and usability trials to evaluate its acceptance and benefits for the Swedish healthcare system.
Mr. Sanjay Dhandare presented a seminar on developing an advanced health care system using the Internet of Things. The presentation discussed monitoring various body parameters using a body area network and transmitting the data via IoT. It proposed objectives like establishing communication between patients and relatives, integrating sensors to monitor temperature, pulse and acceleration. The methodology included a literature review, selecting a controller, interfacing sensors and transmitting data wirelessly. Benefits included speeding communication, immediate alerts in emergencies and reduced mortality. The system was concluded to help reduce deaths by enabling monitoring and alerts during health issues.
IoT is a combination of hardware and software technology that produces trillions of data through connecting multiple devices and sensors with the cloud and making sense of data with intelligent tools
IoT in Healthcare is a heterogeneous computing, wirelessly communicating system of apps and devices that connects patients and health providers to diagnose, monitor, track and store vital statistics and medical information.
BigData in Health Care Systems with IOTFaimin Khan
Nowadays Big Data is playing very important role in Day-to-Day life from Social Network to Educaion,From Banking to Business then Why not in healthcare.
Mobile phones, sensors, patients, hospitals, researchers, providers and organizations are nowadays generating huge amounts of healthcare data. The real challenge in healthcare systems is how to find, collect, analyze and manage information to make people's lives healthier and easier
By contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and make real-time decisions.
A modern healthcare IoT platform with an intelligent medicine box along with sensors for health monitoring and diagnosis is proposed here. Health care services based on Internet of Things have great potential in medical field. In this paper, an intelligent home-based medicine box with wireless connectivity along with an android application (Health-IoT) that helps patients and doctors to be in a more close communication. The proposed platform has an intelligent medicine box that gives alerts for patients to take their medication at the right time. The box is wirelessly connected to internet to make timely updates about medicines which will be notified in the android application with in patient’s smartphone. The system automatically gives alarm so that the patient takes the right medicine at the right time. And if there are any vital signs noticed SMS alerts are given to the predefined guardian.
Implementation of IoT in Healthcare DomainDiksha Prakash
This presentation talks about implementation of IoT in Healthcare domain. It contains introduction, analysis, future scope, challenges etc. on the same.
Healthcare IoT and Analytics to treat Parkinsonsrcnossen
Rick Cnossen from Intel discussed transforming healthcare with the Internet of Things (IoT). IoT can help drive outcomes-based payment, wellness programs, reduce costs of chronic care, and help with clinical trials. Intel's vision is to connect computing technology to people worldwide. Wearable devices can help manage Parkinson's disease by continuously tracking symptoms, activity, sleep, and tremors to provide accurate reports between doctor visits. Big data analytics of information from many patients can provide insights to help research and pharmaceuticals. Challenges to address include the lack of objective measures between infrequent doctor visits and the high costs and small sizes of clinical trials.
Internet of Things (IoT) has wide applications in the healthcare sector. It allows for real-time patient monitoring and analysis from remote locations using sensors and devices. IoT improves various areas of hospital operations like patient tracking, hygiene maintenance, record keeping, smart equipment, billing and procurement. However, IoT also faces challenges like privacy concerns, high costs, lack of standards and need for regulations. If these challenges are addressed, IoT has potential to transform healthcare delivery and outcomes in the future.
IRJET- Virtual Assistant for Medical EmergencyIRJET Journal
The document describes a proposed virtual assistant for medical emergencies using IoT. The system would involve a wearable device like a wristband with sensors to monitor vital signs. If the signs indicate a medical emergency, the device would alert emergency services and provide the patient's medical history. It would also notify family members. The system aims to reduce response times in medical emergencies to improve outcomes. Key challenges include accurately detecting emergencies, secure data transmission, and avoiding false alarms. The proposed solution involves continuous health monitoring, emergency detection and response, automatic medical history access in emergencies, and location tracking to direct responders.
The term Internet of Things (Often abbreviated IOT) was coined more than ten years ago by industry researchers but has emerged into mainstream public view only more recently. Some claim the Internet of Things will completely transform how computer networks are used for the next 10 or 100 years, while others believe Internet Of Things is hype that won't much impact the daily lives of most people.
How the internet of things is impacting healthcarePinta Partners
A man with a heart condition has an implanted device that tracks his vital signs from home and alerts his doctor if issues arise, allowing him to avoid unnecessary doctor visits. This scenario is becoming more common due to the growing use of internet-connected devices in healthcare through the Internet of Things (IoT). The IoT enables remote monitoring of patients, expedites healthcare delivery, and reduces costs. However, challenges remain around data security, accessibility of technology, and integrating large amounts of data. Overall, the IoT has great potential to revolutionize healthcare through higher efficiency, reduced waste, and improved patient health.
The Future of mHealth - Jay Srini - March 2011LifeWIRE Corp
Jay Srini's presentation of her take on the Future of mHealth, presented at the 3rd mHealth Networking Conference, March 30, 2011. Aside from being one of the preeminent thought leader in the area of innovation and mhealth, she holds a number of positions including Assistant Professor at the University of Pittsburgh and CIO for LifeWIRE Corp.
This document discusses telemedicine, including its history, types, technologies used, and applications in clinical research. It began with definitions of telemedicine and telehealth. Historically, NASA and the National Library of Medicine played important roles in early telemedicine development to provide health care to remote areas. Common telemedicine types are store-and-forward, remote monitoring, and interactive videoconferencing. Emerging technologies discussed that are useful for clinical research include robotic process automation, artificial intelligence, augmented/virtual reality, the internet of things, nanotechnology, and 3D printing. The document also reviews current telemedicine efforts and utilities in India as well as ongoing challenges.
IoT is a modest way to elevate our production and yield with the help of internet. We can supervise and control and communicate with the help of internet. Internet Of Things imagines a future physical and digital entities are to be linked by proper information and communication technologies which will sanction new class of applications and services. In this survey we will ensure a survey of applications and research difficulties for Internet Of Things in Healthcare. Shivani Ramesh Sharma ""Internet of Things (IoT): IoT in Healthcare"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23971.pdf
Paper URL: https://www.ijtsrd.com/computer-science/computer-security/23971/internet-of-things-iot-iot-in-healthcare/shivani-ramesh-sharma
IRJET- Review Paper on IoT Driven Smart Pill BoxIRJET Journal
This document describes a proposed smart pill box that uses IoT technology to help patients take their medications on time and as prescribed. The smart pill box would contain different compartments for different medications, and use a real-time clock and push buttons to remind patients when to take each medication based on the prescribed schedule. Relatives and doctors would be able to monitor medication usage remotely using an Android app. The document reviews several previous studies on smart pill boxes and sensor-based medication reminders, and proposes adding remote monitoring capabilities using IoT to help ensure patients properly take their medications.
All submitted research articles are subjected to immediate rapid screening by the editors, in consultation with the Editorial Board or others working in the field as appropriate, to ensure they are likely to be of the level of interest and importance appropriate for the journal. ijerst offers a fast publication schedule whilst maintaining rigorous peer review; the use of recommended electronic formats for article delivery expedites the process.
scope of a journal in the field of Information Technology and Computer Engineering. This journal accepts various types of articles, including research articles, review articles, and short communications.
IJERST offers a fast publication schedule whilst maintaining rigorous peer review; the use of recommended electronic formats for article delivery expedites the process. International Journal of Engineering Research and Science & Technology (IJERST) is an international online journal in English published Quarterly. All submitted research articles are subjected to immediate rapid screening by the editors, in consultation with the Editorial Board or others working in the field as appropriate, to ensure they are likely to be of the level of interest and importance appropriate for the journal.
DESIGN AND ANALYSIS OF SECURE SMART HOME FOR ELDERLY PEOPLEijdpsjournal
Internet of Things (IoT) technology is used to enhance the safety of the elderly living in smart home environments and to help their caregivers. The daily behaviour of the elderly people is collected using IoT sensors and then evaluated to detect any abnormal behaviour. This research paper analyzes the smart home based anomaly detection system from a security perspective, to answer the question whether it is reliable and secure enough to leave elderly people alone in their smart homes. In this direction comparative analysis of literature is done to identify the potential security breaches on all layers of an IoT device. Further, this paper proposes a secure smart home model, built using Cisco Packet Tracer to simulate a network of IoT devices in a smart home environment. Consequently, a list of security countermeasures is proposed to protect the IoT devices from the identified attacks. .
DESIGN AND ANALYSIS OF SECURE SMART HOME FOR ELDERLY PEOPLEijdpsjournal
Internet of Things (IoT) technology is used to enhance the safety of the elderly living in smart home environments and to help their caregivers. The daily behaviour of the elderly people is collected using IoT sensors and then evaluated to detect any abnormal behaviour. This research paper analyzes the smart
home based anomaly detection system from a security perspective, to answer the question whether it is reliable and secure enough to leave elderly people alone in their smart homes. In this direction comparative analysis of literature is done to identify the potential security breaches on all layers of an IoT device. Further, this paper proposes a secure smart home model, built using Cisco Packet Tracer to simulate a network of IoT devices in a smart home environment. Consequently, a list of security countermeasures is proposed to protect the IoT devices from the identified attacks.
Artificial intelligence, machine learning, and data science are shaping healthcare delivery in several ways:
1) They help manage patient visits through online booking and AI-powered chatbots that can meet immediate health needs. Digital patient information management also allows information sharing.
2) Doctors can use technologies like wearables and telemedicine to focus on listening to patients and quickly enter data, improving interactions. Robots also enable remote access to healthcare.
3) AI helps with diagnosis and prescription by analyzing previous data and predicting disease spread and risk. Digital monitoring informs doctors on patient histories.
4) Robots assist with surgery by accessing difficult areas and tissues, and researchers are improving their autonomy. AI also streamlines
KARE – A Patent Protected AI based Technology into Hospital and Healthcare IIJSRJournal
Artificial Intelligence (AI) is a technology that, when linked with healthcare apps and smart wearable devices, can anticipate the onset of health issues in users by gathering and analyzing their health data. The integration of AI with smart wearable devices offers a wide range of potential applications in smart healthcare, however there is an issue with the black box operation of AI models' judgments, which has led in a lack of accountability and trust in the decisions made. In the field of healthcare, transparency, outcome tracing, and model improvement are all important. Healthcare providers can be more watchful and proactive in their interactions with patients thanks to the Internet of Things. Wheelchairs, defibrillators, nebulizers, oxygen pumps, and other monitoring devices are all tracked in real time utilizing IoT devices with sensors.
7 Best Points of The Future of Digital Technology in Healthcare | The Entrepr...TheEntrepreneurRevie
Here are 7 Best Points of The Future of Digital Technology in Healthcare; 1. Smartphones and wearable technology, 2. Virtual Machines (VMs), 3. Telecommunications medicine,
Smart clothing is on tremendous high demand for the various safety purposes, for heath in hazardous environment, for improvising business performance, appearance and in entertainment. With the wearable devices like smart jackets and other accessories it is possible to collect and detect the signals for the organizations to respond the incidents in many different ways.Smart Clothing joins in materials and remote sensor and organizes with regards to human body observing with measurable strategies for the information and treatment. Thejashwini. K. S | Sayeeqa Anjum | Sowmya K. N | C R Manjunath"IoT Based Smart Clothing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd13055.pdf http://www.ijtsrd.com/engineering/computer-engineering/13055/iot-based-smart-clothing/thejashwini-k-s
Artificial intelligence and Internet of Things.pptxSriLakshmi643165
The document discusses artificial intelligence (AI) and the Internet of Things (IoT). It defines AI as using machines to simulate human intelligence through learning, reasoning and self-correction. IoT is defined as the network of physical devices connected through software and sensors to exchange data. The document outlines key applications of AI in healthcare, retail, education and more. It also discusses applications of IoT in healthcare, traffic monitoring, agriculture and fleet management. Finally, it discusses the future integration of AI and IoT, noting their potential to optimize systems, provide personalized recommendations and enable predictive maintenance through analysis of data collected by IoT devices.
The document discusses how the Internet of Things (IoT) is powering a digital healthcare revolution by transforming lives and addressing strains on the healthcare system. IoT allows remote patient monitoring, supports independent living for elderly and chronic patients, and improves supply chain efficiency. It provides opportunities across the healthcare sector through more accurate data collection and empowering stakeholders like patients, providers, insurers, and governments.
This presentation is about The Internet of Things which means that every thing around us will be connected via technology. This is the future of technology where nothing will be lost but at the same time privacy might be an issue.
In this presentation, Ankit introduces SMAC and associated trends. Ankit's interest area lies in Big Data Analysis which he wants to in interesting applications in the healthcare space, one of the interesting examples he suggests is to find the correlation between treatment and cure.
In this presentation, Sumit introduces IoT and associated trends. Sumit's interest area lies in enabking physical-digital communication that is independent of physical location
In this presentation, Pawan discusses approaches for home automation and smart grid. His interest areas lie in implementing cloud server systems to monitor appliances and providing security for the same.
In this presentation, Ayush introduces IoT and associated trends. Ayush wants to work on the standardization part of IoT and as an example he talks about Constrained Application Protocol (CoAP).
In this presentation, Sairaju introduces SMAC and associated trends. Sai is currently working on a project on encryption of data in cloud and his interest area is in the related field of securing cloud infrastructure.
In this presentation, Melissa introduces IoT and associated trends. In Melissa's own words, "I would like to work on networking related to Ipv6 and designing network architecture for IPv6 and IPv6 Dual Stack for Broadband Edge"
The document discusses the Internet of Things (IoT) and trends related to IoT. IoT allows physical objects to connect and interact wirelessly to share information without human intervention. By 2020, IoT is expected to produce vast amounts of data that can help optimize systems and provide insights across various sectors like healthcare, transportation, and more. The author is interested in incorporating artificial intelligence with IoT to create applications that focus on environment conservation and healthcare by utilizing their programming and app development skills.
In this presentation, Shivani introduces IoT and associated trends. Shivani describes what seems like a very interesting future to have with mobile as the gateway to a smart home.
In this presentation, Sravani introduces SMAC and associated trends. Having already developed mobile applications using IBM’s BlueMix, Sravani's interest areas lie in the same domain along with Big Data Analytics.
In this presentation, Prateek introduces what he calls "Internet of Everything" and talks about building IoT applications that aid in water/energy conservation.
In this presentation, Sushmitha introduces IoT and associated trends. Sushmitha is interested in cloud computing which is one of the enablers of IoT. She also talks about fog computing which uses challenge questions for access control.
In this presentation, Surbhi introduces IoT and associated trends. Surbhi is interested in IoT applications in the health monitoring space where health is monitored real time using sensors and data is transmitted to doctors.
In this presentation, Vijaya introduces IoT and associated trends. Vijaya is interested in sensors and their applications in the home automation space.
In this presentation, Smriti introduces IoT and associated trends. Smriti talks about an innovative ides that uses IoT services and cloud application to check the health of laptop and automates messages to both the service centres and the owner.
In this presentation, Praneeth introduces IoT and associated trends. Praneeth is interested in IoT applications in home automation space and he also has several ideas WRT to water management and transport management using IoT applications.
Harmish Doshi is a student at NMIMS University studying Information Technology. He is interested in the fields of SMAC - Social, Mobile, Analytics and Cloud. SMAC creates an ecosystem that allows businesses to improve operations and connect with customers. Social media has led to new ways for businesses and individuals to connect globally. Mobility has made rich digital content easily accessible through mobile devices. Analytics is used across industries to drive growth and improve operations. Cloud computing provides cost effectiveness, agility and flexibility for enterprises. Harmish is interested in mobility, cloud and social fields to strengthen relationships between industries and consumers and make applications more user-friendly.
In this presentation, Anil introduces automation and associated trends. Having attended workshops in automation testing space, his interest area lies in that domain.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
3. What’s the Internet of Things
The Internet of Things (IoT) is a computing concept that describes a future where
everyday physical objects will be connected to the Internet and be able to identify
themselves to other devices.
The term is closely identified with RFID as the method of communication, although it also
may include other sensor technologies, wireless technologies or QR codes.
Daily Life
Traffic Issue
Production
Logistics
Retailing
Resource
& Power
Control
4. What’s the Internet of Things
The Internet of Things, also called The Internet of Objects, refers to a wireless
network between objects, usually the network will be wireless and self-
configuring, such as household appliances.
By embedding short-range mobile transceivers into a wide array of additional
gadgets and everyday items, enabling new forms of communication between
people and things, and between things themselves.
From any time ,any place connectivity for anyone, we will now have connectivity
for anything!
5. Trend in Internet of Things
Intelligent Home - There will be robots taking care of the house, performing routine works
such as cleaning or maintenance. These will collaborate autonomously with the house
sensors, and the house control. The intelligent appliances will collaborate to conserve
energy, and to signal need for new supplies of food, detergents, maintenance, etc. Some of
which may be satisfied automatically by the maintenance robot. This will take away some
of today’s tedious housekeeping activities.
6. Trend in Internet of Things
Transportation in next five year
When there is a queue, the first cars may tell the cars behind if there is an accident or just
too much traffic, and this will eventually make intelligent navigation systems re-plan the
route of cars programmed to go down already saturated roads.
The cars may help the driver to keep safe distance to the car in front, and may refuse
dangerous actions like speeding if the weather conditions are unsafe or overtaking if the
oncoming car goes too fast. The cars can go by autopilot on highways reducing the risk of
fatigue related accidents.
7. Interest Area
New efficient diagnostics combined with nanotechnology enabled lab-on-a-chip
technologies open a complete range of novel opportunities for new treatments and
prevention of serious diseases. In-vivo equipment will assist in drug dosage closer to the
affected organs thus reducing the amount of reagents needed and diminish the risk of
adverse effects. It is an established fact that several serious common illnesses like breast
cancer, cardio-vascular diseases and Alzheimer's disease have genetic components. It is
also known that successful treatment depends on early detection.
Health Care
Biodegradable materials will offer the possibility to place temporary sensors and lab-
on-a-chip equipment on the patient, or in the patient. Temperature and humidity can
be measured inside a cast to prevent skin problems. Antigens may be detected on
transplanted organs to help prevent rejection. Intelligent micro-robots may be guided
to bring drugs to the infected areas by ex-vivo remote guidance, and assist in the
diagnosis providing located measurements of vital parameters.
8. Interest Area
Furthermore, this new sort of personal medical equipment will enable the patient to stay
longer and safer at home since the equipment itself can alarm the hospital in case of
critical situations, or the patient can be relieved from the hassle of routine checks when
there is nothing wrong. Medical research will advance on data from patients living normal
lives and not like guinea pigs in hospitals. Telemedicine may replace costly travel and
reduce patient stress.