Bispectral Analysis of Needle EMG Signals to Detect Differential Patterns of Muscle Activity in Radiculopathy Patients

dc.contributor.authorFariba Biyouki
dc.contributor.authorSaeed Rahati
dc.contributor.authorKatri Laimi
dc.contributor.authorAli Shoeibi
dc.contributor.authorReza Boostani
dc.contributor.organizationfi=Turun yliopiston luonnontieteiden, lääketieteen ja tekniikan tutkijakollegium (TCSMT)|en=Turku Collegium for Science, Medicine and Technology (TCSMT)|
dc.contributor.organization-code2601219
dc.converis.publication-id2234172
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/2234172
dc.date.accessioned2025-08-27T21:39:39Z
dc.date.available2025-08-27T21:39:39Z
dc.description.abstract<strong><span style="font-family: Times New Roman; font-size: xx-small;"><span style="font-family: Times New Roman; font-size: xx-small;"> <p align="left">Radiculopathy refers to a set of conditions, in which one or more nerves is affected and does not work properly. The emphasis is, however, on the nerve roots. In addition, L5 radiculopathy is the most common radiculopathy encountered in electrodiagnostic laboratories. Needle electrode examination is known to be the most effective diagnostic tool for this disorder. The objective of the present study was to quantify muscular changes in radiculopathy patients, using needle EMG signals recorded from tibialis anterior muscle of a healthy man without a history of neuromuscular disease and a man with neuropathy due to L5 radiculopathy. Moreover, this paper investigated the utility of HOS analysis by examining bispectral patterns and extracting features based on amplitude and phase of the bispectrum for identifying the differences. The results showed that the mean value of amplitude based features were higher in patient compared with those of healthy control. However, phase entropy indicated a reduction in radiculopathy patient. In addition, bispectral magnitude contour plots enabled us to visually differentiate muscle activities.</p> </span></span></strong>
dc.identifier.olddbid200831
dc.identifier.oldhandle10024/183858
dc.identifier.urihttps://www.utupub.fi/handle/11111/47227
dc.identifier.urnURN:NBN:fi-fe2021042714531
dc.language.isoen
dc.okm.affiliatedauthorLaimi, Katri
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline114 Physical sciencesen_GB
dc.okm.discipline213 Electronic, automation and communications engineering, electronicsen_GB
dc.okm.discipline217 Medical engineeringen_GB
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3112 Neurosciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline114 Fysiikkafi_FI
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikkafi_FI
dc.okm.discipline217 Lääketieteen tekniikkafi_FI
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline3112 Neurotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryIran, Islamic Republic ofen_GB
dc.publisher.countryIranfi_FI
dc.publisher.country-codeIR
dc.publisher.placeIslamic Azad University Gonabad Branch
dc.source.identifierhttps://www.utupub.fi/handle/10024/183858
dc.titleBispectral Analysis of Needle EMG Signals to Detect Differential Patterns of Muscle Activity in Radiculopathy Patients
dc.title.bookCongress publication: 5th Iranian Conference on Electrical and Electronics Engineering (ICEEE2013)
dc.year.issued2013

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