A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses-Reference-Cited by-同舟云学术

A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses

Published:2023-06 Issue:3 Volume:17 Page:598-609
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Zhao Shiqi¹^ORCID,Yang Jie¹^ORCID,Wang Junzhe¹,Fang Chaoming¹^ORCID,Liu Tengjun²^ORCID,Zhang Shaomin²,Sawan Mohamad¹^ORCID

Affiliation:

1. Center of Excellence in Biomedical Research on Advanced Integrated-on-chips Neurotechnologies, School of Engineering, Westlake University, Hangzhou, China

2. Qiushi Academy for Advanced Studies, Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China

Funder

STI2030-Major

Zhejiang Key R&D Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4156126/10179952/10105432.pdf?arnumber=10105432

Reference27 articles.

1. A 96.2-nJ/class Neural Signal Processor With Adaptable Intelligence for Seizure Prediction

2. A Versatile Embedded Platform for EMG Acquisition and Gesture Recognition