A Neuromorphic Processing System With Spike-Driven SNN Processor for Wearable ECG Classification-Reference-Cited by-同舟云学术

A Neuromorphic Processing System With Spike-Driven SNN Processor for Wearable ECG Classification

Published:2022-08 Issue:4 Volume:16 Page:511-523
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Chu Haoming¹^ORCID,Yan Yulong¹^ORCID,Gan Leijing¹,Jia Hao¹^ORCID,Qian Liyu¹,Huan Yuxiang²^ORCID,Zheng Lirong¹^ORCID,Zou Zhuo¹^ORCID

Affiliation:

1. State Key Laboratory of ASIC and System, Fudan University, Shanghai, China

2. Large-scale Neuromorphic Computing Group, Guangdong Institute of Intelligence Science and Technology, Guangdong, China

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

NSFC-STINT Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4156126/9916560/09822206.pdf?arnumber=9822206

Reference33 articles.

1. An 82nW 0.53 pJ/SOP clock-free spiking neural network with 40 $\mu$s latency for AloT wake-up functions using ultimate-event-driven bionic architecture and computing-in-memory technique;liu;Proc IEEE Int Solid-State Circuits Conf,0

2. 4.5 BioAIP: A reconfigurable biomedical AI processor with adaptive learning for versatile intelligent health monitoring;liu;Proc IEEE Int Solid-State Circuits Conf,0

3. Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor

4. Designing energy-efficient imprecise adders with multi-bit approximation

5. A DNN-Based Low Power ECG Co-Processor Architecture to Classify Cardiac Arrhythmia for Wearable Devices

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radar Emitter Recognition Based on Spiking Neural Networks;Remote Sensing;2024-07-22

2. Spiking neural networks for biomedical signal analysis;Biomedical Engineering Letters;2024-07-05

3. Spiking neural networks for physiological and speech signals: a review;Biomedical Engineering Letters;2024-06-25

4. BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

5. An Energy-Efficient Configurable Coprocessor Based on 1-D CNN for ECG Anomaly Detection;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19