Seasonal School 2024 on BioSync Wearable Technology Innovations Summit
Venue: EC Department, Sarvajanik College of Engineering & Technology, Surat
Keynote Speakers
Abstract: For a long time society had the perception that research is important for its advancement. This led to the creation of funding agencies and research laboratories. Some of the fundamental discoveries that fueled the technology revolution were either supported by these organizations or developed at a research laboratory. Progressively government funding has declined and research organizations have either faded away or operate with a reduced agenda. So it is imperative for industry and academia to evolve beyond the current paradigm especially in areas of mutual interest. One such area is digital camera. In this talk, we review the evolution of digital camera from camera obscura to mobile cameras. We compare practices and assumptions in academia and industry, and briefly look at a few signal processing solutions that we have developed over the years for problems in digital camera. We present recent results to show the progress that has been achieved in computational photography and conclude with challenges and opportunities.
Abstract: There has been substantial growth observed for wearable technologies in the past few years due to increased interest in health and wellness from people. Wearable systems are a popular and appealing option in health care services because they provide patients with personalized solutions for disease prevention, diagnosis, and treatment. Three wearable technologies for personalized health management would be discussed as follows: (i) Diabetes is one of the fast growing chronic diseases caused by insufficient insulin generation of the body. The wearable technology would allow the people to monitor the blood glucose continuously for proper diabetes management. (ii) The Intelligent prosthetic arm has potential to improve the quality of life for upper-limb prostheses. It has shown the outstanding ability to improve the experience towards prostheses. It can be useful to provide the support for activities of daily living (ADL). (iii) Epilepsy and depression are a neurological disorder which affects the brain resulting in unpredictable behavior. The wearable device would allow the real-time monitoring for detection and/or prediction of neurological disorder.
Abstract:
This talk delves into the innovative use of thermal imaging in clinical practice, highlighting both its benefits and challenges. We will explore various applications of this technology, with a particular focus on how AI can enhance these applications. Furthermore, a detailed case study of Thermalytix, a novel combination of thermal imaging and artificial intelligence, will be discussed, showcasing its revolutionary impact on breast cancer detection.
Abstract: n this session, foundational knowledge and hands-on experience with EEG (Electroencephalography) signals will be provided. An introduction to EEG signals will be given, including their definition, methods of capture, and the different frequency bands. Following this, the preprocessing of EEG data using EEGLAB, a widely-used MATLAB toolbox, will be covered. Techniques for extracting specific frequency bands and performing basic feature extraction and analysis using MATLAB will be demonstrated. This session is designed to impart practical skills and a solid understanding of EEG signal processing techniques.
Abstract: “Touchpoints of Care” delves into how technology and user experience (UX) converge in the design of healthcare wearables. This talk will highlight the critical touchpoints where technology meets user needs, focusing on creating devices that not only monitor health but also enhance user interaction and satisfaction. As a CX expert, I will discuss strategies for integrating UX insights into technology development, ensuring that wearables are intuitive, user-friendly, and genuinely beneficial. Attendees will gain an understanding of key design considerations that prioritize user comfort and engagement, paving the way for wearables that users trust and rely on daily.
Abstract: In applications like mass casualty events, monitoring of multiple patients by medical technicians, physicians or nurses is required where there will be more than one wireless transmitter and one wireless receiver. To demonstrate and address the issues of such applications, various Bluetooth iconet possibilities have been implemented or realized in simulated environments. The piconet implementation for two patients indicates that the prototyped Bluetooth system can be used to capture vital signs from a large number of patients, relaying the data to handheld computers carried by emergency medical technicians (EMTs), physicians, and nurses. The simulation result shows a possibility of monitoring seven patients at a time; and having four channels on board, four vital parameters of each patient can be monitored wirelessly. So the Bluetooth system presented here has the potential to have enormous impact on many aspects of emergency medical care and others. However there will be certain challenges like data latency and fidelity, power requirements, and others need to be addressed.
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