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

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 (90μm× 630μm,) and a low power consumption (42.61 μw), ideal characteristic for wearable devices utilised for long-term monitoring of activities.