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Article: Identification of detailed time-frequency components in somatosensory evoked potentials
Title | Identification of detailed time-frequency components in somatosensory evoked potentials | ||||||||
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Authors | |||||||||
Keywords | Density estimation K-means clustering Matching pursuit Somatosensory evoked potentials Time-frequency analysis | ||||||||
Issue Date | 2010 | ||||||||
Publisher | IEEE. | ||||||||
Citation | Ieee Transactions On Neural Systems And Rehabilitation Engineering, 2010, v. 18 n. 3, p. 245-254 How to Cite? | ||||||||
Abstract | Somatosensory evoked potential (SEP) usually contains a set of detailed temporal components measured and identified in time domain, providing meaningful information on physiological mechanisms of the nervous system. The purpose of this study is to reveal complex and fine time-frequency features of SEP in time-frequency domain using advanced time-frequency analysis (TFA) and pattern classification methods. A high-resolution TFA algorithm, matching pursuit (MP), was proposed to decompose a SEP signal into a string of elementary waves and to provide a time-frequency feature description of the waves. After a dimension reduction by principle component analysis (PCA), a density-guided K-means clustering was followed to identify typical waves existed in SEP. Experimental results on posterior tibial nerve SEP signals of 50 normal adults showed that a series of typical waves were discovered in SEP using the proposed MP decomposition and clustering methods. The statistical properties of these SEP waves were examined and their representative waveforms were synthesized. The identified SEP waves provided a comprehensive and detailed description of time-frequency features of SEP. © 2006 IEEE. | ||||||||
Persistent Identifier | http://hdl.handle.net/10722/124662 | ||||||||
ISSN | 2023 Impact Factor: 4.8 2023 SCImago Journal Rankings: 1.315 | ||||||||
ISI Accession Number ID |
Funding Information: This work was supported in part by a grant from the Research Grants Council of the Hong Kong SAR, China (GRF HKU 7130/06E), in part by the Biomedical Engineering Centre (BMEC) of the University of Hong Kong, and in part by The University of Hong Kong CRCG Seed Fund. | ||||||||
References |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Z | en_HK |
dc.contributor.author | Luk, KDK | en_HK |
dc.contributor.author | Hu, Y | en_HK |
dc.date.accessioned | 2010-10-31T10:47:09Z | - |
dc.date.available | 2010-10-31T10:47:09Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | Ieee Transactions On Neural Systems And Rehabilitation Engineering, 2010, v. 18 n. 3, p. 245-254 | en_HK |
dc.identifier.issn | 1534-4320 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/124662 | - |
dc.description.abstract | Somatosensory evoked potential (SEP) usually contains a set of detailed temporal components measured and identified in time domain, providing meaningful information on physiological mechanisms of the nervous system. The purpose of this study is to reveal complex and fine time-frequency features of SEP in time-frequency domain using advanced time-frequency analysis (TFA) and pattern classification methods. A high-resolution TFA algorithm, matching pursuit (MP), was proposed to decompose a SEP signal into a string of elementary waves and to provide a time-frequency feature description of the waves. After a dimension reduction by principle component analysis (PCA), a density-guided K-means clustering was followed to identify typical waves existed in SEP. Experimental results on posterior tibial nerve SEP signals of 50 normal adults showed that a series of typical waves were discovered in SEP using the proposed MP decomposition and clustering methods. The statistical properties of these SEP waves were examined and their representative waveforms were synthesized. The identified SEP waves provided a comprehensive and detailed description of time-frequency features of SEP. © 2006 IEEE. | en_HK |
dc.language | eng | en_HK |
dc.publisher | IEEE. | - |
dc.relation.ispartof | IEEE Transactions on Neural Systems and Rehabilitation Engineering | en_HK |
dc.rights | ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Density estimation | en_HK |
dc.subject | K-means clustering | en_HK |
dc.subject | Matching pursuit | en_HK |
dc.subject | Somatosensory evoked potentials | en_HK |
dc.subject | Time-frequency analysis | en_HK |
dc.subject.mesh | Adolescent | - |
dc.subject.mesh | Algorithms | - |
dc.subject.mesh | Child | - |
dc.subject.mesh | Cluster Analysis | - |
dc.subject.mesh | Evoked Potentials, Somatosensory - physiology | - |
dc.title | Identification of detailed time-frequency components in somatosensory evoked potentials | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1534-4320&volume=18&issue=3&spage=245&epage=254&date=2010&atitle=Identification+of+detailed+time-frequency+components+in+somatosensory+evoked+potentials | - |
dc.identifier.email | Zhang, Z:zgzhang@eee.hku.hk | en_HK |
dc.identifier.email | Luk, KDK:hcm21000@hku.hk | en_HK |
dc.identifier.email | Hu, Y:yhud@hku.hk | en_HK |
dc.identifier.authority | Zhang, Z=rp01565 | en_HK |
dc.identifier.authority | Luk, KDK=rp00333 | en_HK |
dc.identifier.authority | Hu, Y=rp00432 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/TNSRE.2010.2043856 | en_HK |
dc.identifier.pmid | 20215086 | - |
dc.identifier.scopus | eid_2-s2.0-77953242758 | en_HK |
dc.identifier.hkuros | 174334 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77953242758&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 18 | en_HK |
dc.identifier.issue | 3 | en_HK |
dc.identifier.spage | 245 | en_HK |
dc.identifier.epage | 254 | en_HK |
dc.identifier.isi | WOS:000281782000004 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Zhang, Z=8597618700 | en_HK |
dc.identifier.scopusauthorid | Luk, KDK=7201921573 | en_HK |
dc.identifier.scopusauthorid | Hu, Y=7407116091 | en_HK |
dc.identifier.issnl | 1534-4320 | - |