IEM Distinguished Lecturers Seminar: On-Chip Epilepsy Detection: Where Machine Learning Meets Patient-Specific Wearable Healthcare
Joint seminar with IEEE SSCS.
The seminar will take place in BM 5202 and will be simultaneously broadcasted in Neuchâtel Campus MC A1 272.
Coffee and cookies will be served at 13:00 before the seminar.
Abstract
Epilepsy is a severe and chronic neurological disorder that affects over 65 million people worldwide. Yet current seizure/epilepsy detection and treatment mainly rely on a physician interviewing the subject, which is not effective in infant/children group. Moreover, patient-to-patient and age-to-age variation on seizure pattern make such detection particularly challenging. To expand the beneficiary group to even infants and also to effectively adapt to each patient, a wearable form-factor, the patient-specific system with machine learning is of crucial. However, the wearable environment is challenging for circuit designers due to unstable skin-electrode interface, huge mismatch, and static/dynamic offset.
This lecture will cover the design strategies of patient-specific epilepsy detection System-on-Chip (SoC). We will first explore the difficulties, limitations, and potential pitfalls in wearable interface circuit design and strategies to overcome such issues. Starting from a basic instrumentation amplifier (IA), we will cover various IA circuit topologies to deal with offset compensation. Moving on, we will cover the feature extraction and the patient-specific and patient-independent classification using Machine Learning technique. Finally, connecting wearable sensors through Body-Area Network, both on communication and on powering aspect, will be discussed. The lecture will conclude with interesting opportunities that lie ahead.
Bio
Jerald Yoo (S’05-M’10-SM’15) received the B.S., M.S., and Ph.D. degrees in Department of Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2002, 2007, and 2010, respectively.
From 2010 to 2016, he was with the Department of Electrical Engineering and Computer Science, Masdar Institute, Abu Dhabi, United Arab Emirates, where he was an Associate Professor. From 2010 to 2011, he was also with the Microsystems Technology Laboratories (MTL), Massachusetts Institute of Technology (MIT) as a visiting scholar. Between 2017 and 2024, he was with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore, as an Associate Professor. Since 2024, he has been with the Department of Electrical and Computer Engineering, Seoul National University, where he is currently an Associate Professor. He has pioneered research on Body-Area Network (BAN) transceivers for communication/powering and wearable body sensor network using the planar-fashionable circuit board for a continuous health monitoring system. He authored book chapters in Biomedical CMOS ICs (Springer, 2010), Enabling the Internet of Things—From Circuits to Networks (Springer, 2017), The IoT Physical Layer (Chapter 8, Springer, 2019) and Handbook of Biochips (Biphasic Current Stimulator for Retinal Prosthesis, Springer, 2021). His current research interests include low-energy circuit technology for wearable bio-signal sensors, flexible circuit board platform, BAN for communication and powering, ASIC for piezoelectric Micromachined Ultrasonic Transducers (pMUT), and System-on-Chip (SoC) design to system realization for wearable healthcare applications.
Dr. Yoo is an IEEE Solid-State Circuits Society (SSCS) Distinguished Lecturer (2024-2025 and 2017-2018). He also served an IEEE Circuits and Systems Society (CASS) Distinguished Lecturer (2019-2021). He is the recipient or a co-recipient of several awards: IEEE International Solid-State Circuits Conference (ISSCC) 2020 and 2022 Demonstration Session Award (Certificate of Recognition), IEEE International Symposium on Circuits and Systems (ISCAS) 2015 Best Paper Award (BioCAS Track), ISCAS 2015 Runner-Up Best Student Paper Award, the Masdar Institute Best Research Award in 2015 and the IEEE Asian Solid-State Circuits Conference (A-SSCC) Outstanding Design Award (2005). He was the founding vice-chair of the IEEE SSCS United Arab Emirates (UAE) Chapter and is the chair of the IEEE SSCS Singapore Chapter. He currently serves an Executive Committee of the IEEE International Solid-State Circuits Conference (ISSCC), and has served/serves as TPC member of ISSCC Student Research Preview (Chair), IEEE Asian Solid-State Circuits Conference (A-SSCC, Emerging Technologies, and Applications Subcommittee Chair), IEEE Custom Integrated Circuits Conference (Emerging Technologies Subcommittee Chair), IEEE Symposium on VLSI Circuits, and an Analog Signal Processing Technical Committee Member of IEEE Circuits and Systems Society. He is also serving as a Steering Committee Member of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and was an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and IEEE Open Journal of Solid-State Circuits Society (OJ-SSCS).
The seminar will take place in BM 5202 and will be simultaneously broadcasted in Neuchâtel Campus MC A1 272.
Coffee and cookies will be served at 13:00 before the seminar.
Abstract
Epilepsy is a severe and chronic neurological disorder that affects over 65 million people worldwide. Yet current seizure/epilepsy detection and treatment mainly rely on a physician interviewing the subject, which is not effective in infant/children group. Moreover, patient-to-patient and age-to-age variation on seizure pattern make such detection particularly challenging. To expand the beneficiary group to even infants and also to effectively adapt to each patient, a wearable form-factor, the patient-specific system with machine learning is of crucial. However, the wearable environment is challenging for circuit designers due to unstable skin-electrode interface, huge mismatch, and static/dynamic offset.
This lecture will cover the design strategies of patient-specific epilepsy detection System-on-Chip (SoC). We will first explore the difficulties, limitations, and potential pitfalls in wearable interface circuit design and strategies to overcome such issues. Starting from a basic instrumentation amplifier (IA), we will cover various IA circuit topologies to deal with offset compensation. Moving on, we will cover the feature extraction and the patient-specific and patient-independent classification using Machine Learning technique. Finally, connecting wearable sensors through Body-Area Network, both on communication and on powering aspect, will be discussed. The lecture will conclude with interesting opportunities that lie ahead.
Bio
Jerald Yoo (S’05-M’10-SM’15) received the B.S., M.S., and Ph.D. degrees in Department of Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2002, 2007, and 2010, respectively.
From 2010 to 2016, he was with the Department of Electrical Engineering and Computer Science, Masdar Institute, Abu Dhabi, United Arab Emirates, where he was an Associate Professor. From 2010 to 2011, he was also with the Microsystems Technology Laboratories (MTL), Massachusetts Institute of Technology (MIT) as a visiting scholar. Between 2017 and 2024, he was with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore, as an Associate Professor. Since 2024, he has been with the Department of Electrical and Computer Engineering, Seoul National University, where he is currently an Associate Professor. He has pioneered research on Body-Area Network (BAN) transceivers for communication/powering and wearable body sensor network using the planar-fashionable circuit board for a continuous health monitoring system. He authored book chapters in Biomedical CMOS ICs (Springer, 2010), Enabling the Internet of Things—From Circuits to Networks (Springer, 2017), The IoT Physical Layer (Chapter 8, Springer, 2019) and Handbook of Biochips (Biphasic Current Stimulator for Retinal Prosthesis, Springer, 2021). His current research interests include low-energy circuit technology for wearable bio-signal sensors, flexible circuit board platform, BAN for communication and powering, ASIC for piezoelectric Micromachined Ultrasonic Transducers (pMUT), and System-on-Chip (SoC) design to system realization for wearable healthcare applications.
Dr. Yoo is an IEEE Solid-State Circuits Society (SSCS) Distinguished Lecturer (2024-2025 and 2017-2018). He also served an IEEE Circuits and Systems Society (CASS) Distinguished Lecturer (2019-2021). He is the recipient or a co-recipient of several awards: IEEE International Solid-State Circuits Conference (ISSCC) 2020 and 2022 Demonstration Session Award (Certificate of Recognition), IEEE International Symposium on Circuits and Systems (ISCAS) 2015 Best Paper Award (BioCAS Track), ISCAS 2015 Runner-Up Best Student Paper Award, the Masdar Institute Best Research Award in 2015 and the IEEE Asian Solid-State Circuits Conference (A-SSCC) Outstanding Design Award (2005). He was the founding vice-chair of the IEEE SSCS United Arab Emirates (UAE) Chapter and is the chair of the IEEE SSCS Singapore Chapter. He currently serves an Executive Committee of the IEEE International Solid-State Circuits Conference (ISSCC), and has served/serves as TPC member of ISSCC Student Research Preview (Chair), IEEE Asian Solid-State Circuits Conference (A-SSCC, Emerging Technologies, and Applications Subcommittee Chair), IEEE Custom Integrated Circuits Conference (Emerging Technologies Subcommittee Chair), IEEE Symposium on VLSI Circuits, and an Analog Signal Processing Technical Committee Member of IEEE Circuits and Systems Society. He is also serving as a Steering Committee Member of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and was an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and IEEE Open Journal of Solid-State Circuits Society (OJ-SSCS).
Practical information
- General public
- Free