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Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems (Hardcover, 1st ed. 2019)
Loot Price: R2,873
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Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems (Hardcover, 1st ed. 2019)
Series: Analog Circuits and Signal Processing
Expected to ship within 10 - 15 working days
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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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