Biopotential acquisition unit for energy-efficient wearable health monitoring

Autor: Wazir Singh, Sujay Deb
Jazyk: angličtina
Rok vydání: 2018
Předmět:
CMOS integrated circuits
analogue-digital conversion
medical signal processing
energy consumption
low-power electronics
biomedical electronics
compressed sensing
signal sampling
instrumentation amplifiers
patient monitoring
medical signal detection
energy conservation
biopotential acquisition unit
proprietary acquisition platforms
compressive sensing
analogue-to-information converter
AIC
biopotential INA
CMOS technology
energy-efficient wearable health monitoring system
transmitter
data storage
instrumentation amplifier
biopotential signal quality
random under-sampling operation
PVT corners
common mode rejection ratio
sampling rate
size 65.0 nm
word length 9.54 bit
power 69.33 nW
voltage 1.0 V
Computer engineering. Computer hardware
TK7885-7895
Electronic computers. Computer science
QA75.5-76.95
Zdroj: IET Cyber-Physical Systems (2018)
Druh dokumentu: article
ISSN: 2398-3396
DOI: 10.1049/iet-cps.2017.0071
Popis: In wearable health monitoring system, the energy consumption is dominated by the transmitter. These systems generally use proprietary acquisition platforms that are incompatible with each other which makes this even more challenging. This study presents a compressive sensing-based biopotential acquisition unit to reduce the overheads of wirelessly transmitting and storing the data. The instrumentation amplifier (INA) in the system defines the quality of the acquired biopotential signals. At the heart of the system is an analogue-to-information converter (AIC) to enable the random under-sampling operation. AIC is used to digitise the output of the biopotential INA. Both INA and AIC are implemented in 65 nm CMOS technology. To confirm stable operation under different operating conditions, the design is simulated under different process, voltage and temperature (PVT) corners. The simulation results show that the proposed INA has a common mode rejection ratio of 100.18 dB and noise of 35.89 pV/sqrt (Hz). AIC achieves a sampling rate of 0.5 kS/s, an effective number of bits 9.54 bits, figure of merit 187 fj/conv-step, and consumes 69.33 nW from 1 V power supply.
Databáze: Directory of Open Access Journals