Tutorial W3

W3: On-Chip Epilepsy Detection: Where Machine Learning Meets Wearable, Patient-Specific Seizure Monitoring

Jerald Yoo, National University of Singapore (NUS) / Singapore Institute of Neurotechnology

Abstract: Epilepsy is a severe and chronic neurological disorder that affects over 65 million people worldwide. Yet current seizure/epilepsy detection and treatment largely relies 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 makes such detection particularly challenging. To expand the beneficiary group to even infants, and also to effectively adapt to each patient, a wearable form-factor, patient-specific system with machine learning is of crucial. However, the wearable environment is challenging for circuit designers due unstable skinelectrode interface, huge mismatch, and static/dynamic offset.

This tutorial will cover the design strategies of patient-specific epilepsy detection System-on-Chip. We will first explore flexible platform that enables wearable form factor patch and electrodes, namely the Planar-Fabric and Polymer Circuit Board. After that, we will look into the difficulties, limitations and potential pitfalls in wearable interface circuit design, and strategies to overcome such issues. Starting from a 1 op-amp instrumentation amplifier (IA), we will cover various IA circuit topologies and their key metrics to deal with offset compensation. Several state-of-the-art instrumentation amplifiers that emphasize on different parameters will also be discussed. Moving on, we will cover the feature extraction and the patient-specific classification using Machine Learning technique. Finally, an on-chip epilepsy detection and recording sensor SoC will be presented, which integrates all the components covered during the tutorial. The tutorial will conclude with interesting aspects and opportunities that lie ahead.


Jerald Yoo


  • Currently serving as IEEE Solid-State Circuit Society Distinguished Lecturer
  • Technical Program Committee Member of IEEE CASS ASPTC / CICC/A-SSCC/ISSCC SRP
  • 7 ISSCC Papers, 15 IEEE Journals (9 IEEE JSSC) (authored/ co-authored)
  • ISSCC Short Course (2014), Evening Session (2014/2013), Evening Panel (2012) and Forum (2011) talks / Symp. VLSI Circuits Evening Session (2017) panel
  • Invited talks at IBM T.J. Watson Research Center (2017), Cadence (2016), Qualcomm (2015), Maxim Integrated (2015), Texas Instruments (2012) and Intel (2010)
  • 3 US patents / 6 Korean patents (issued), 6 US/PCT pending
  • 12 research grants (worth 2.66 million US$) since June 2010
  • www.jeraldyoo.com / https://scholar.google.com/citations?user=NHaSuGgAAAAJ&hl=en


  • Ph.D. in Electrical Engineering and Computer Science (EECS), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2010
  • M.S. in EECS, KAIST, Daejeon, Korea, 2007
  • B.S. in EECS, KAIST, Daejeon, Korea, 2002

Work Experience:

  • Associate Professor, National Univ. of Singapore (Jan 2017~)
  • Distinguished Lecturer, IEEE Solid-State Circuits Society (SSCS) (Jan. 2017~ )
  • Associate Professor, Masdar Institute of Science and Technology, UAE (Jun. 2010-Dec.2016)
  • Vice Chair, IEEE Solid-State Circuits Society (SSCS) UAE Chapter (Jul. 2015-Dec. 2016)
  • Visiting Scholar, Massachusetts Institute of Technology, MA, USA (June 2010-June 2011)
  • Assistant Manager, TritonTech, Inc., Seoul, Korea (Jan. 2002-Nov. 2004)

Research Interests

  • Circuits and systems for wearable healthcare / biomedical applications
  • Body Area Network (BAN) using human Body Coupled Communication (BCC)
  • ASIC for mobile ultrasound applications
  • Planar-Fashionable Circuit Board (P-FCB): textile platform for biomedical sensors


  • NUS, CEG2027 Introduction to Digital Circuits (developed, will be offered from Fall 2018),
  • NUS, EE3407 Analog Electronics (co-teaching with Prof. Aaron Danner)
  • NUS, EE2020 Digital Fundamentals
  • Masdar Institute, MIC610 Analysis and Design of Digital Integrated Circuits (developed)
  • Masdar Institute, MIC614 Low Energy Biomedical Circuits and Systems (developed)
  • Masdar Institute, MIC615 Computer Architecture (co-developed with Prof. Ibrahim Elfadel)
  • Mass. Institute of Technology (MIT), 6.374 Digital Integrated Circuits (A guest lecture Fall 2010)


  • Best Research Award (Masdar Institute), May 2015.
  • Best Paper Award, IEEE Int. Symp. Circ. Sys (ISCAS) 2015, BioCAS Track, May 2015.
  • Outstanding KAIST Electrical Engineering Research Award, 2007, 2008 and 2009.
  • A-SSCC Outstanding Student Design Contest (Co-recipient), Nov. 2006.