Institute of Electrical and Electronics Engineers (IEEE)

A 28.2 μC Neuromorphic Sensing System Featuring SNN-based Near-sensor Computation and Event-Driven Body-Channel Communication for Insertable Cardiac Monitoring

Yuming He ¹

Federico Corradi ¹

Chengyao Shi ^{1, 2}

Ming Ding Ming Ding ¹

Martijn Timmermans ²

Jan Stuijt ¹

Pieter Harpe ²

Ilja Ocket ³

Yao Hong Liu ¹

Hide authors affiliations Show authors affiliations: 3 affiliations

imec-Netherlands, Eindhoven, Netherlands |

Eindhoven University of Technology, Eindhoven, NETHERLANDS |

IMEC, Leuven, Belgium |

Publication type: Proceedings Article

Publication date: 2021-11-07

Institute of Electrical and Electronics Engineers (IEEE)

DOI: 10.1109/A-SSCC53895.2021.9634787

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Abstract

This paper presents an event-driven neuromorphic sensing system capable of performing on-chip feature extraction and “send-on-delta” transmission for insertable cardiac monitoring. A background offset calibration improves the SNDR of clockless level-crossing ADCs. A fully synthesized spiking neural network extracts full ECG PQRST features with $\lt 1$ ms time precision. An event-driven body channel communication minimizes transmission energy. The prototype is fabricated in 40nm CMOS and consumes $28.2 \mu \mathrm{W}$ system power.

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Institute of Electrical and Electronics Engineers (IEEE)