A 0.5µVrms 12µW patch type fabric sensor for wearable body sensor network

Author

Yan, Long ; Yoo, Jerald ; Kim, Binhee ; Yoo, Hoi Jun

Author_Institution

Sch. of EECS, KAIST, Daejeon, South Korea

fYear

2009

fDate

16-18 Nov. 2009

Firstpage

105

Lastpage

108

Abstract

A 0.5 μV_rms, 12 μW wirelessly powered patch type fabric sensor is presented for wearable body sensor network to continuously monitor personal bioelectric signals. Thick film electrodes are screen printed on the fabric with various metal components and their impedances of ˜100 kΩ are characterized. A 2-stage nested chopped analog readout front end (AFE) is optimized for the fabric sensor with reduced electrode referred noise performance of 0.5 μV_rms. A 10b folded SAR ADC reduces capacitive DAC (CDAC) size and relaxes the power budget of ADC driver by 94%. The proposed fabric sensor operates with system resolution of 9b and CMRR≫106 dB. The chip fabricated with 0.18μm CMOS technology, the fabric sensor stacked by screen printed inductor (diameter=3 cm and # turns=4) can measure the ECG and EMG signals with wirelessly transmitted power through inductive coupling.

Keywords

CMOS integrated circuits; biomedical electrodes; biomedical electronics; body sensor networks; digital-analogue conversion; electrocardiography; electromyography; patient monitoring; CMOS technology; ECG; EMG; SAR ADC; analog readout front end; capacitive DAC size; inductive coupling; patch type fabric sensor; patient monitoring; personal bioelectric signals; thick film electrodes; wearable body sensor network; wireless transmission; Bioelectric phenomena; Biomedical monitoring; Biosensors; Body sensor networks; CMOS technology; Electrodes; Fabrics; Sensor phenomena and characterization; Thick films; Wearable sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Solid-State Circuits Conference, 2009. A-SSCC 2009. IEEE Asian

Conference_Location

Taipei

Print_ISBN

978-1-4244-4433-5

Electronic_ISBN

978-1-4244-4434-2

Type

conf

DOI

10.1109/ASSCC.2009.5357190

Filename

5357190