A 4-Channel sEMG ASIC with Real-Time Muscle Fatigue Feature Extraction

被引：1

作者：

Tu, Wei ^{[1
,2
]}

Cacho-Soblechero, Miguel ^{[1
,2
]}

Terracina, Dan ^{[1
,2
,3
]}

Strutton, Paul H. ^{[3
]}

Georgiou, Pantelis ^{[1
,2
]}

机构：

[1] Imperial Coll London, Dept Elect & Elect Engn, London, England

[2] Imperial Coll London, Ctr Bioinspired Technol, Inst Biomed Engn, London, England

[3] Imperial Coll London, Nick Davey Lab, Dept Surg & Canc, Sir Michael Uren Hub,Fac Med, White City Campus, London, England

来源：

2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2021年

关键词：

sEMG; Muscle Fatigue; Low Back Pain; Feature Extraction; AMPLIFIER; CMOS;

D O I：

10.1109/ISCAS51556.2021.9401781

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a 4 channel ASIC for sEMG sensing with in-built muscle fatigue and activity feature extraction. Each channel filters and conditions the electrode signal in parallel, while extracting key features for Low Back Pain (LBP) fatigue monitoring and forecasting - Zero Crossing rate and Root Mean Square through sEMG Envelope. The channels are integrated with a Transimpedance Amplifier, an 10-Bit ADC and a Digital Control Unit to digitise and enable transmission of extracted features. Fabricated in TSMC 180nm, these channels present a compact form factor (90 mu m x 630 mu m) and a low power consumption (42.61 mu W), ideal characteristic for wearable devices utilised for long-term monitoring of activities.

引用

页数：5

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