Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression-Reference-Cited by-同舟云学术

Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression

Published:2023-04 Issue:2 Volume:17 Page:180-191
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Wu Di¹^ORCID,Zhao Shiqi¹^ORCID,Yang Jie¹^ORCID,Sawan Mohamad¹^ORCID

Affiliation:

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

Funder

Zhejiang Key R&D Program

Zhejiang Leading Innovative and Entrepreneur Team Introduction

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4156126/10122741/10024315.pdf?arnumber=10024315

Reference47 articles.

1. Compressed sensing

2. An Intelligent EEG Classification Methodology Based on Sparse Representation Enhanced Deep Learning Networks

3. Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

4. Atomic Decomposition by Basis Pursuit

5. Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition

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