Details
Poster
Presenter(s)
![Miguel Cacho-Soblechero Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/15901.jpg?h=8f391919&itok=91IXlgie)
Display Name
Miguel Cacho-Soblechero
- Affiliation
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AffiliationImperial College London
- Country
Abstract
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$\mu m \times$ 630$\mu m$) and a low power consumption (42.61 $\mu W$), ideal characteristic for wearable devices utilised for long-term monitoring of activities.