The Resource Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems, by Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst, (electronic resource)

Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems, by Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst, (electronic resource)

Label
Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems
Title
Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems
Statement of responsibility
by Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Pamula, Venkata Rajesh
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • GufIbJ7fvl4
  • S5KJLlyo-Uw
  • Tfy8FFT8P1M
Image bit depth
0
LC call number
TK7888.4
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Hoof, Chris van
  • Verhelst, Marian.
  • SpringerLink
Series statement
Analog Circuits and Signal Processing,
http://library.link/vocab/subjectName
  • Systems engineering
  • Biomedical engineering
  • Circuits and Systems
  • Signal, Image and Speech Processing
  • Biomedical Engineering and Bioengineering
Label
Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems, by Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Chapter1: Challenges and Opportunities in Wearable Biomedical Interfaces -- Chapter2: Adaptive Sampling for Ultra-low Power Electrocardiogram (ECG) Readouts -- Chapter3: Introduction to Compressive Sampling (CS) -- Chapter4: Compressed Domain Feature Extraction -- Chapter5: A Low Power Compressive Sampling (CS) Photoplethysmogram (PPG) Read-out With Embedded Feature Extraction -- Chapter6: Conclusions and Future Work
Dimensions
unknown
Extent
XXIII, 114 p. 82 illus., 60 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030058708
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-05870-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-05870-8
Label
Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems, by Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Chapter1: Challenges and Opportunities in Wearable Biomedical Interfaces -- Chapter2: Adaptive Sampling for Ultra-low Power Electrocardiogram (ECG) Readouts -- Chapter3: Introduction to Compressive Sampling (CS) -- Chapter4: Compressed Domain Feature Extraction -- Chapter5: A Low Power Compressive Sampling (CS) Photoplethysmogram (PPG) Read-out With Embedded Feature Extraction -- Chapter6: Conclusions and Future Work
Dimensions
unknown
Extent
XXIII, 114 p. 82 illus., 60 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030058708
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-05870-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-05870-8

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