Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems

Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems
Author :
Publisher : Springer
Total Pages : 130
Release :
ISBN-10 : 9783030058708
ISBN-13 : 3030058700
Rating : 4/5 (08 Downloads)

Book Synopsis Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems by : Venkata Rajesh Pamula

Download or read book Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems written by Venkata Rajesh Pamula and published by Springer. This book was released on 2019-01-02 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems Related Books

Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems
Language: en
Pages: 130
Authors: Venkata Rajesh Pamula
Categories: Technology & Engineering
Type: BOOK - Published: 2019-01-02 - Publisher: Springer

DOWNLOAD EBOOK

This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approa
Ultra Low Power Bioelectronics
Language: en
Pages: 909
Authors: Rahul Sarpeshkar
Categories: Technology & Engineering
Type: BOOK - Published: 2010-02-22 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book provides, for the first time, a broad and deep treatment of the fields of both ultra low power electronics and bioelectronics. It discusses fundamenta
Low-power Wearable Healthcare Sensors
Language: en
Pages: 146
Authors: R. Simon Sherratt
Categories: Science
Type: BOOK - Published: 2020-12-29 - Publisher: MDPI

DOWNLOAD EBOOK

Advances in technology have produced a range of on-body sensors and smartwatches that can be used to monitor a wearer’s health with the objective to keep the
Nonuniform Sampling
Language: en
Pages: 938
Authors: Farokh Marvasti
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Our understanding of nature is often through nonuniform observations in space or time. In space, one normally observes the important features of an object, such
Advanced Biosignal Processing
Language: en
Pages: 384
Authors: Amine Nait-Ali
Categories: Technology & Engineering
Type: BOOK - Published: 2009-04-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electroencephalogram