A 186\mu \mathrm Glucose Monitoring SoC using Near-Infrared Photoplethysmography

• Published in: 2020 IEEE Asian Solid-State Circuits Conference (A-SSCC) pp. 1 - 4
• Main Authors: Hina, Aminah, Saadeh, Wala
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.11.2020
• Subjects: Diabetes; Glucose; glucose estimation; Impedance; Monitoring; non-invasive sensing; Photoplethysmography; Photoplethysmography (PPG); Sensors; Solid state circuits; Support vector machines; wearable sensor
• DOI: 10.1109/A-SSCC48613.2020.9336124

A glucose monitoring SoC based on near-infrared Photoplethysmography (PPG) is presented. It integrates fully differential AFE with nonlinear support-vector-machine regression (NSVMR). The AFE utilizes chopper to reduce input-referred current noise by 57%, and trans-impedance amplifier input impedance by 90%, thus allows 115dB dynamic range. The NSVMR is realized using the piecewise linear floating-point exponential, which decreases the area by 27% compared to conventional implementations. The 6mm 2 SoC in 0.18um CMOS consumes 186 \mu \mathrm{W} and reduces the mean absolute relative difference (mARD) by 30% verified on 200 subjects.