Expert Talk by Dr. Nyi Nyi Tun - 15thanniversary IEEE Day 2024
We are thrilled to announce a special Expert Talk as part of our IEEE Day 2024 Celebration! Join us for an enlightening session on "Brain-Muscle Functional Interaction Analysis and its Potential Direction," presented by Dr. Nyi Nyi Tun, Vice-Chair of IEEE EMBS SAC 2024 and an esteemed professional at Kyushu University, Japan.
About the Talk
In this engaging session, Dr. Tun will dive deep into the fascinating world of brain-muscle interactions, exploring the cutting-edge research that is shaping the future of biomedical engineering. Attendees will gain insights into:
- Mechanisms of Brain-Muscle Interaction: Understanding how the brain communicates with muscles and its implications for movement and rehabilitation.
- Innovative Research Directions: Discovering new avenues for research that can enhance our understanding of neuromuscular functions.
- Applications in Biomedical Engineering: Examining the potential applications of this research in fields like prosthetics, rehabilitation, and neuroengineering.
This talk is a fantastic opportunity for students, professionals, and enthusiasts in the field of biomedical engineering to expand their knowledge and engage with pioneering research.
Date and Time
Location
Hosts
Registration
- Date: 06 Oct 2024
- Time: 07:00 PM to 08:00 PM
- All times are (UTC+05:30) Chennai
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Add Event to Calendar
- Contact Event Host
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- Branch Counsellor - Dr. Khadim Moin Siddiqui
- E-mail- siddiquikhadim@gmail.com
- IEEE Student Branch Chair - Ajay Kumar
- E-mail- ajay262438@gmail.com
Speakers
Dr. Tun of IEEE EMBS SAC Co-chair and Kyushu University
Brain-Muscle Functional Interaction Analysis and its Potential Direction
Brain-Muscle Functional Interaction Analysis and its Potential Direction
Overview
Brain-muscle functional interaction analysis focuses on understanding how the brain communicates with muscles to facilitate movement. This area of study is crucial for advancements in fields such as rehabilitation, prosthetics, and neuroengineering.
Key Components
1. Neural Pathways:
- The brain sends signals through motor neurons to muscles, allowing for voluntary and involuntary movements. Understanding these pathways helps in diagnosing and treating motor disorders.
2. Research Techniques:
- Technologies such as electromyography (EMG), functional MRI (fMRI), and brain-computer interfaces (BCIs) are used to study the dynamics of brain-muscle interactions. These tools provide insights into how muscle activity correlates with brain activity.
3. Clinical Applications:
- Insights from brain-muscle interaction analysis inform rehabilitation strategies for patients recovering from strokes or injuries. They also contribute to the development of advanced prosthetics that can be controlled via neural signals, enhancing functionality for users.
4. Future Directions:
- Emerging research focuses on improving neuroplasticity (the brain's ability to reorganize itself), developing more intuitive prosthetic devices, and creating targeted therapies for motor control disorders. Interdisciplinary collaboration is key to driving these advancements.
Conclusion
The study of brain-muscle interactions has significant implications for medical technology and therapeutic practices, paving the way for innovative solutions to enhance mobility and quality of life for individuals with motor impairments.
Biography:
He is one of the IEEE young professional members, Fukuoka section. He became the ambassador of IEEE EMBS in the Student Mentoring Program (SMP) for the year 2021. He was appointed as an IEEE EMBS Student Activities Committee’s Membership Advocate that year. He was a graduate of the IEEE MGA 2022 VoLT Program. He served as chairman of the IEEE EMBS Student Mentoring Program for the year 2022. Upon the successful launch of the 2022 program, he was serving as Chairman of the 2023 Edition of the IEEE EMBS Student Mentoring Program, which falls under the Professional Development Portfolio. He was also a member of the IEEE Young Professionals (YP) Climate and Sustainability Task Force (CSTF)and IEEE EMC-S EdCom. He is an ambassador for IEEE Smart Cities. To contribute, he founded Dr. NYI Online Training Courses (Free-for-All), which are aimed at youth in 2022, June 18. He is serving as a vice chair of the IEEE EMBS Student Activities Committee (SAC), along with the role of Professional Development Portfolio Lead for the year 2024.
He was a specially appointed researcher at the Nagoya Institute of Technology from April 2022 to March 2023. He is working as a postdoctoral academic researcher at the Department of Electronics, Graduate School, and Faculty of Information Science and Electrical Engineering, Kyushu University. His research relates to biomedical and neural circuits in fusion with mechatronics engineering. He achieved the best presentation award at the 9th International Conference on Science and Engineering, 2018, in Yangon, Myanmar.
Agenda
- Expert Insights: Learn from Dr. Tun's extensive experience and expertise in the field.
- Networking Opportunities: Connect with fellow attendees who share an interest in biomedical engineering and neuroscience.
- Engage in Discussions: Participate in a Q&A session to deepen your understanding and curiosity.
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