A novel approach to the diagnostic assessment of carpal tunnel syndrome based on the frequency domain of the compound muscle action potential

dc.authoridAlcan, Veysel/0000-0002-7786-8591
dc.authoridKaya, Hilal/0000-0003-4787-105X
dc.authoridKaratas, Gulcin Kaymak/0000-0001-5117-3911;
dc.authorwosidCanal, Mehmet Rahmi/N-4278-2018
dc.authorwosidAlcan, Veysel/P-3209-2018
dc.authorwosidKaya, Hilal/KVB-9115-2024
dc.authorwosidKaratas, Gulcin Kaymak/AHB-6778-2022
dc.authorwosidAlcan, Veysel/AAL-9469-2020
dc.contributor.authorAlcan, Veysel
dc.contributor.authorKaya, Hilal
dc.contributor.authorZinnuroglu, Murat
dc.contributor.authorKaratas, Gulcin Kaymak
dc.contributor.authorCanal, Mehmet Rahmi
dc.date.accessioned2024-08-04T20:46:44Z
dc.date.available2024-08-04T20:46:44Z
dc.date.issued2020
dc.departmentİnönü Üniversitesien_US
dc.description.abstractConventional electrophysiological (EP) tests may yield ambiguous or false-negative results in some patients with signs and symptoms of carpal tunnel syndrome (CTS). Therefore, researchers tend to investigate new parameters to improve the sensitivity and specificity of EP tests. We aimed to investigate the mean and maximum power of the compound muscle action potential (CMAP) as a novel diagnostic parameter, by evaluating diagnosis and classification performance using the supervised Kohonen self-organizing map (SOM) network models. The CMAPs were analyzed using the fast Fourier transform (FFT). The mean and maximum power parameters were calculated from the power spectrum. A counter-propagation artificial neural network (CPANN), supervised Kohonen network (SKN) and XY-fused network (XYF) were compared to evaluate the classification and diagnostic performance of the parameters using the confusion matrix. The mean and maximum power of the CMAP were significantly lower in patients with CTS than in the normal group (p < 0.05), and the XYF network had the best total performance of classification with 91.4%. This study suggests that the mean and maximum power of the CMAP can be considered as less time-consuming parameters for the diagnosis of CTS without using additional EP tests which can be uncomfortable for the patient due to poor tolerance to electrical stimulation.en_US
dc.description.sponsorshipAnkara Yildirim Beyazit University [BAP 4043]en_US
dc.description.sponsorshipThe authors thank the members of the Department of Physical Medicine and Rehabilitation, School of Medicine, Gazi University for collecting data. Moreover, we thank Ankara Yildirim Beyazit University for supporting this study with the project number BAP 4043.en_US
dc.identifier.doi10.1515/bmt-2018-0077
dc.identifier.endpage71en_US
dc.identifier.issn0013-5585
dc.identifier.issn1862-278X
dc.identifier.issue1en_US
dc.identifier.pmid31377730en_US
dc.identifier.scopus2-s2.0-85070590124en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage61en_US
dc.identifier.urihttps://doi.org/10.1515/bmt-2018-0077
dc.identifier.urihttps://hdl.handle.net/11616/98910
dc.identifier.volume65en_US
dc.identifier.wosWOS:000508008600006en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherWalter De Gruyter Gmbhen_US
dc.relation.ispartofBiomedical Engineering-Biomedizinische Techniken_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcarpal tunnel syndromeen_US
dc.subjectelectrophysiologyen_US
dc.subjectFourier analysisen_US
dc.subjectneural network modelen_US
dc.titleA novel approach to the diagnostic assessment of carpal tunnel syndrome based on the frequency domain of the compound muscle action potentialen_US
dc.typeArticleen_US

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