Correlation of autonomic function tests to the HRV signal analysed using short time Fourier transform
In this work, traditional, clinical methods of evaluating autonomic neural control systems are compared with the newer method based on the signal processing applied on heart rate variability (HRV) signal. The information available from the time-frequency representation of HRV signals is useful in cl...
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creator | Srikanth, T. Reddy, M.R.S. Prabhakar, D. Sridevi, M.R. |
description | In this work, traditional, clinical methods of evaluating autonomic neural control systems are compared with the newer method based on the signal processing applied on heart rate variability (HRV) signal. The information available from the time-frequency representation of HRV signals is useful in classifying the subject population into 4 classes namely normal, sympathetic loss, parasympathetic loss and combined losses. The results suggest that the presence of autonomic neuropathy can be clearly detected by short time HRV signal analysis possible in the clinical environment. |
doi_str_mv | 10.1109/SBEC.1996.493168 |
format | Conference Proceeding |
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The information available from the time-frequency representation of HRV signals is useful in classifying the subject population into 4 classes namely normal, sympathetic loss, parasympathetic loss and combined losses. The results suggest that the presence of autonomic neuropathy can be clearly detected by short time HRV signal analysis possible in the clinical environment.</description><identifier>ISBN: 0780331311</identifier><identifier>ISBN: 9780780331310</identifier><identifier>DOI: 10.1109/SBEC.1996.493168</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biomedical signal processing ; Cardiology ; Control systems ; Diabetes ; Heart rate ; Heart rate variability ; Signal analysis ; Signal processing ; System testing ; Time frequency analysis</subject><ispartof>Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference, 1996, p.274-277</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/493168$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,4051,4052,27929,54924</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/493168$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Srikanth, T.</creatorcontrib><creatorcontrib>Reddy, M.R.S.</creatorcontrib><creatorcontrib>Prabhakar, D.</creatorcontrib><creatorcontrib>Sridevi, M.R.</creatorcontrib><title>Correlation of autonomic function tests to the HRV signal analysed using short time Fourier transform</title><title>Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference</title><addtitle>SBEC</addtitle><description>In this work, traditional, clinical methods of evaluating autonomic neural control systems are compared with the newer method based on the signal processing applied on heart rate variability (HRV) signal. The information available from the time-frequency representation of HRV signals is useful in classifying the subject population into 4 classes namely normal, sympathetic loss, parasympathetic loss and combined losses. The results suggest that the presence of autonomic neuropathy can be clearly detected by short time HRV signal analysis possible in the clinical environment.</description><subject>Biomedical signal processing</subject><subject>Cardiology</subject><subject>Control systems</subject><subject>Diabetes</subject><subject>Heart rate</subject><subject>Heart rate variability</subject><subject>Signal analysis</subject><subject>Signal processing</subject><subject>System testing</subject><subject>Time frequency analysis</subject><isbn>0780331311</isbn><isbn>9780780331310</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jrGKAkEQRAfkQO_OXIz6B9ybYRbdSV0UYz0ulUF7dWR3Wrp7A_9e8YytoB7US8qYibOFczb87JarunAhzIsyeDevBubTLirrvfPODc1Y5GIfKX0VFuXIYE3M2EZNlIEaiL1Spi4doOnz4bkqigoogZ4RNts_kHTKsYX4qJvgEXpJ-QRyJlbQ1CGsqeeEDMoxS0PcfZuPJraC4xe_zHS9-q03s4SI-yunLvJt_3_Yv5V3acdGeQ</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Srikanth, T.</creator><creator>Reddy, M.R.S.</creator><creator>Prabhakar, D.</creator><creator>Sridevi, M.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Correlation of autonomic function tests to the HRV signal analysed using short time Fourier transform</title><author>Srikanth, T. ; Reddy, M.R.S. ; Prabhakar, D. ; Sridevi, M.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_4931683</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Biomedical signal processing</topic><topic>Cardiology</topic><topic>Control systems</topic><topic>Diabetes</topic><topic>Heart rate</topic><topic>Heart rate variability</topic><topic>Signal analysis</topic><topic>Signal processing</topic><topic>System testing</topic><topic>Time frequency analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Srikanth, T.</creatorcontrib><creatorcontrib>Reddy, M.R.S.</creatorcontrib><creatorcontrib>Prabhakar, D.</creatorcontrib><creatorcontrib>Sridevi, M.R.</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>IEEE Electronic Library (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>Srikanth, T.</au><au>Reddy, M.R.S.</au><au>Prabhakar, D.</au><au>Sridevi, M.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Correlation of autonomic function tests to the HRV signal analysed using short time Fourier transform</atitle><btitle>Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference</btitle><stitle>SBEC</stitle><date>1996</date><risdate>1996</risdate><spage>274</spage><epage>277</epage><pages>274-277</pages><isbn>0780331311</isbn><isbn>9780780331310</isbn><abstract>In this work, traditional, clinical methods of evaluating autonomic neural control systems are compared with the newer method based on the signal processing applied on heart rate variability (HRV) signal. The information available from the time-frequency representation of HRV signals is useful in classifying the subject population into 4 classes namely normal, sympathetic loss, parasympathetic loss and combined losses. The results suggest that the presence of autonomic neuropathy can be clearly detected by short time HRV signal analysis possible in the clinical environment.</abstract><pub>IEEE</pub><doi>10.1109/SBEC.1996.493168</doi></addata></record> |
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ispartof | Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference, 1996, p.274-277 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Biomedical signal processing Cardiology Control systems Diabetes Heart rate Heart rate variability Signal analysis Signal processing System testing Time frequency analysis |
title | Correlation of autonomic function tests to the HRV signal analysed using short time Fourier transform |
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