Ultra Low-Power Biomedical Signal Processing (Record no. 1337)

000 -LEADER
fixed length control field 04145nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-1-4020-9073-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20141014113441.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2009 ne | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781402090738
-- 978-1-4020-9073-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4020-9073-8
Source of number or code doi
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5102.9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7882.S65
072 #7 - SUBJECT CATEGORY CODE
Subject category code TTBM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYS
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC008000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM073000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Haddad, Sandro A. P.
Relator term author.
245 10 - TITLE STATEMENT
Title Ultra Low-Power Biomedical Signal Processing
Medium [electronic resource] :
Remainder of title An Analog Wavelet Filter Approach for Pacemakers /
Statement of responsibility, etc by Sandro A. P. Haddad, Wouter A. Serdijn.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Dordrecht :
Name of publisher, distributor, etc Springer Netherlands,
Date of publication, distribution, etc 2009.
264 #1 -
-- Dordrecht :
-- Springer Netherlands,
-- 2009.
300 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Analog Circuits and Signal Processing
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note The Evolution of Pacemakers: An Electronics Perspective -- Wavelet versus Fourier Analysis -- Analog Wavelet Filters: The Need for Approximation -- Optimal State Space Descriptions -- Ultra Low-Power Integrator Designs -- Ultra Low-Power Biomedical System Designs -- Conclusions and Future Research.
520 ## - SUMMARY, ETC.
Summary, etc Ultra Low-Power Biomedical Signal Processing describes signal processing methodologies and analog integrated circuit techniques for low-power biomedical systems. Physiological signals, such as the electrocardiogram (ECG), the electrocorticogram (ECoG), the electroencephalogram (EEG) and the electromyogram (EMG) are mostly non-stationary. The main difficulty in dealing with biomedical signal processing is that the information of interest is often a combination of features that are well localized temporally (e.g., spikes) and others that are more diffuse (e.g., small oscillations). This requires the use of analysis methods sufficiently versatile to handle events that can be at opposite extremes in terms of their time-frequency localization. Wavelet Transform (WT) has been extensively used in biomedical signal processing, mainly due to the versatility of the wavelet tools. The WT has been shown to be a very efficient tool for local analysis of non-stationary and fast transient signals due to its good estimation of time and frequency (scale) localizations. Being a multi-scale analysis technique, it offers the possibility of selective noise filtering and reliable parameter estimation. Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection. In Ultra Low-Power Biomedical Signal Processing we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical engineering.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Serdijn, Wouter A.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781402090721
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Analog Circuits and Signal Processing
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4020-9073-8
912 ## -
-- ZDB-2-ENG
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Books

No items available.


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