EAN: 9783030058692

ANALOG-AND-ALGORITHM-ASSISTED ULTRA-LOW POWER B...

This book discusses the design and implementation aspects of ultra-low power biosignal
acquisition platforms that exploit analog-assisted and algorithmic approaches for power
savings.The authors describe an approach referred to as analog-and-algorithm-assisted signal
processing.This enables significant power consumption reductions by implementing low power
biosignal acquisition systems  leveraging analog preprocessing and algorithmic approaches to
reduce the data rate very early in the signal processing chain.They demonstrate savings for
wearable sensor networks (WSN) and body area networks (BAN)  in the sensors' stimulation power
consumption  as well in the power consumption of the digital signal processing and the radio
link. Two specific implementations  an adaptive sampling electrocardiogram (ECG) acquisition
and a compressive sampling (CS) photoplethysmogram (PPG) acquisition system  are
demonstrated.First book to present the so called  analog-and-algorithm-assisted approaches for
ultra-low power biosignal acquisition and processing platforms Covers the recent trend of
beyond Nyquist rate signal acquisition and processing in detail  including adaptive sampling
and compressive sampling paradigms Includes chapters on compressed domain feature extraction 
as well as acquisition of photoplethysmogram  an emerging optical sensing modality  including
compressive sampling based PPG readout with embedded feature extraction Discusses emerging
trends in sensor fusion for improving the signal integrity  as well as lowering the power
consumption of biosignal acquisition systems.

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