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A One-Shot Learning, Online-Tuning, Closed-Loop Epilepsy Management SoC with 0.97μJ/Classification and 97.8% Vector-Based Sensitivity
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Cited 13 time in Scopus
- Authors
- Issue Date
- 2021
- Citation
- IEEE Symposium on VLSI Circuits, Digest of Technical Papers, Vol.2021-June
- Abstract
- We propose a patient-specific closed-loop epilepsy tracking and real-time suppression SoC with the first-in-literature one-shot learning and online tuning. The entire SoC consumes the lowest energy reported to date of 0.97μJ/class. and occupies the smallest area of 0.13mm2/Ch. Verified with CHB-MIT database and a local hospital patient, the 9.8b ENOB 2-Cycle AFE combined with the GTCA-SVM DBE achieves vector-based sensitivity, specificity, and latency of 97.8%, 99.5%, and <1s.
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Related Researcher
- College of Engineering
- Department of Electrical and Computer Engineering
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