Loading…

Power Spectral Analysis of Wrist Pulse Signal in Evaluating Adult Age

Wrist pulse-diagnosis has been used in traditional Chinese medicine for thousands of years, because pulse wave signal contains a large number of physiological and pathological information of people, the analysis on it is an important means to examine on people in sub-health status. In this research,...

Full description

Saved in:
Bibliographic Details
Main Author: Quanyu Wu
Format: Conference Proceeding
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c133t-4e8e3dfb05cf80e33c2625a6f8002877322673fcbbc690f51a1599bc62f059bd3
cites
container_end_page 50
container_issue
container_start_page 48
container_title
container_volume
creator Quanyu Wu
description Wrist pulse-diagnosis has been used in traditional Chinese medicine for thousands of years, because pulse wave signal contains a large number of physiological and pathological information of people, the analysis on it is an important means to examine on people in sub-health status. In this research, a systematic approach was proposed to analyze the computerized wrist pulse signals, with the focus placed on the power spectra. The wrist pulse signal from the HK2000 pulse sensor was pre-processed. We gained the power spectra by using the fast Fourier transforms, and the power-spectral characteristics are analyzed and compared. Lots of important information can be found, such as evaluating adult age and distributing power spectra of the electrical signal. Potential application of this information in the sub-healthy field is indicated.
doi_str_mv 10.1109/IPTC.2010.48
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5663160</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5663160</ieee_id><sourcerecordid>5663160</sourcerecordid><originalsourceid>FETCH-LOGICAL-c133t-4e8e3dfb05cf80e33c2625a6f8002877322673fcbbc690f51a1599bc62f059bd3</originalsourceid><addsrcrecordid>eNotjs9LwzAcxSMiKLM3b17yD3Tm57fJsZSqg4GFbew40jQpgdqNplX23xvUy3t8eI_HQ-iJkjWlRL9smn21ZiShUDco04UiBWgpqAZ9-8tUMCGSKnGPshhDSxgUAJrCA6qb87eb8O7i7DyZAZejGa4xRHz2-DiFOONmGaLDu9CnBIcR119mWMwcxh6X3TLMuOzdI7rzJtWyf1-hw2u9r97z7cfbpiq3uaWcz7lwyvHOt0Rar4jj3DJg0kACwlRRcJaOcW_b1oImXlJDpdYJmCdStx1foee_3eCcO12m8Gmm60kCcAqE_wDPS0sa</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Power Spectral Analysis of Wrist Pulse Signal in Evaluating Adult Age</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Quanyu Wu</creator><creatorcontrib>Quanyu Wu</creatorcontrib><description>Wrist pulse-diagnosis has been used in traditional Chinese medicine for thousands of years, because pulse wave signal contains a large number of physiological and pathological information of people, the analysis on it is an important means to examine on people in sub-health status. In this research, a systematic approach was proposed to analyze the computerized wrist pulse signals, with the focus placed on the power spectra. The wrist pulse signal from the HK2000 pulse sensor was pre-processed. We gained the power spectra by using the fast Fourier transforms, and the power-spectral characteristics are analyzed and compared. Lots of important information can be found, such as evaluating adult age and distributing power spectra of the electrical signal. Potential application of this information in the sub-healthy field is indicated.</description><identifier>ISBN: 9781424481484</identifier><identifier>ISBN: 1424481481</identifier><identifier>EISBN: 9780769541969</identifier><identifier>EISBN: 0769541968</identifier><identifier>DOI: 10.1109/IPTC.2010.48</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aging ; Arteries ; FFT ; Fluctuations ; Harmonic analysis ; Medical diagnostic imaging ; Power Spectra ; Power system harmonics ; Spectral analysis ; Traditional Chinese Medicine ; Wrist ; Wrist Pulse Signal</subject><ispartof>2010 International Symposium on Intelligence Information Processing and Trusted Computing, 2010, p.48-50</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c133t-4e8e3dfb05cf80e33c2625a6f8002877322673fcbbc690f51a1599bc62f059bd3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5663160$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5663160$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Quanyu Wu</creatorcontrib><title>Power Spectral Analysis of Wrist Pulse Signal in Evaluating Adult Age</title><title>2010 International Symposium on Intelligence Information Processing and Trusted Computing</title><addtitle>IPTC</addtitle><description>Wrist pulse-diagnosis has been used in traditional Chinese medicine for thousands of years, because pulse wave signal contains a large number of physiological and pathological information of people, the analysis on it is an important means to examine on people in sub-health status. In this research, a systematic approach was proposed to analyze the computerized wrist pulse signals, with the focus placed on the power spectra. The wrist pulse signal from the HK2000 pulse sensor was pre-processed. We gained the power spectra by using the fast Fourier transforms, and the power-spectral characteristics are analyzed and compared. Lots of important information can be found, such as evaluating adult age and distributing power spectra of the electrical signal. Potential application of this information in the sub-healthy field is indicated.</description><subject>Aging</subject><subject>Arteries</subject><subject>FFT</subject><subject>Fluctuations</subject><subject>Harmonic analysis</subject><subject>Medical diagnostic imaging</subject><subject>Power Spectra</subject><subject>Power system harmonics</subject><subject>Spectral analysis</subject><subject>Traditional Chinese Medicine</subject><subject>Wrist</subject><subject>Wrist Pulse Signal</subject><isbn>9781424481484</isbn><isbn>1424481481</isbn><isbn>9780769541969</isbn><isbn>0769541968</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjs9LwzAcxSMiKLM3b17yD3Tm57fJsZSqg4GFbew40jQpgdqNplX23xvUy3t8eI_HQ-iJkjWlRL9smn21ZiShUDco04UiBWgpqAZ9-8tUMCGSKnGPshhDSxgUAJrCA6qb87eb8O7i7DyZAZejGa4xRHz2-DiFOONmGaLDu9CnBIcR119mWMwcxh6X3TLMuOzdI7rzJtWyf1-hw2u9r97z7cfbpiq3uaWcz7lwyvHOt0Rar4jj3DJg0kACwlRRcJaOcW_b1oImXlJDpdYJmCdStx1foee_3eCcO12m8Gmm60kCcAqE_wDPS0sa</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Quanyu Wu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201010</creationdate><title>Power Spectral Analysis of Wrist Pulse Signal in Evaluating Adult Age</title><author>Quanyu Wu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c133t-4e8e3dfb05cf80e33c2625a6f8002877322673fcbbc690f51a1599bc62f059bd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aging</topic><topic>Arteries</topic><topic>FFT</topic><topic>Fluctuations</topic><topic>Harmonic analysis</topic><topic>Medical diagnostic imaging</topic><topic>Power Spectra</topic><topic>Power system harmonics</topic><topic>Spectral analysis</topic><topic>Traditional Chinese Medicine</topic><topic>Wrist</topic><topic>Wrist Pulse Signal</topic><toplevel>online_resources</toplevel><creatorcontrib>Quanyu Wu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Quanyu Wu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Power Spectral Analysis of Wrist Pulse Signal in Evaluating Adult Age</atitle><btitle>2010 International Symposium on Intelligence Information Processing and Trusted Computing</btitle><stitle>IPTC</stitle><date>2010-10</date><risdate>2010</risdate><spage>48</spage><epage>50</epage><pages>48-50</pages><isbn>9781424481484</isbn><isbn>1424481481</isbn><eisbn>9780769541969</eisbn><eisbn>0769541968</eisbn><abstract>Wrist pulse-diagnosis has been used in traditional Chinese medicine for thousands of years, because pulse wave signal contains a large number of physiological and pathological information of people, the analysis on it is an important means to examine on people in sub-health status. In this research, a systematic approach was proposed to analyze the computerized wrist pulse signals, with the focus placed on the power spectra. The wrist pulse signal from the HK2000 pulse sensor was pre-processed. We gained the power spectra by using the fast Fourier transforms, and the power-spectral characteristics are analyzed and compared. Lots of important information can be found, such as evaluating adult age and distributing power spectra of the electrical signal. Potential application of this information in the sub-healthy field is indicated.</abstract><pub>IEEE</pub><doi>10.1109/IPTC.2010.48</doi><tpages>3</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781424481484
ispartof 2010 International Symposium on Intelligence Information Processing and Trusted Computing, 2010, p.48-50
issn
language eng
recordid cdi_ieee_primary_5663160
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Aging
Arteries
FFT
Fluctuations
Harmonic analysis
Medical diagnostic imaging
Power Spectra
Power system harmonics
Spectral analysis
Traditional Chinese Medicine
Wrist
Wrist Pulse Signal
title Power Spectral Analysis of Wrist Pulse Signal in Evaluating Adult Age
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T09%3A15%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Power%20Spectral%20Analysis%20of%20Wrist%20Pulse%20Signal%20in%20Evaluating%20Adult%20Age&rft.btitle=2010%20International%20Symposium%20on%20Intelligence%20Information%20Processing%20and%20Trusted%20Computing&rft.au=Quanyu%20Wu&rft.date=2010-10&rft.spage=48&rft.epage=50&rft.pages=48-50&rft.isbn=9781424481484&rft.isbn_list=1424481481&rft_id=info:doi/10.1109/IPTC.2010.48&rft.eisbn=9780769541969&rft.eisbn_list=0769541968&rft_dat=%3Cieee_6IE%3E5663160%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c133t-4e8e3dfb05cf80e33c2625a6f8002877322673fcbbc690f51a1599bc62f059bd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5663160&rfr_iscdi=true