The Utility of fNIRS Signals versus Self-Report for Classification of Fibromyalgia Syndrome
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Dosyalar
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Fibromyalgia (FM) is a widespread painful disease that has a 2-8% prevalence. Its diagnosis is generally performed by American College of Rheumatology (ACR) criteria. However, these criteria are subjective and their reliability is controversial. In this study, painful stimulation and Transcutaneous Electrical Nerve Stimulation (TENS) were applied to both hands of healthy controls and FM patients and hemodynamic responses was measured by using Functional Near Infrared Spectroscopy (fNIRS). Features extracted from hemodynamic responses and self-report data were used with 4 different classifiers and 14 different parameters. In conclusion, classification performed by objective data collected from fNIRS signals (95%) gave higher accuracy than classification performed by subjective self-report data (83%). This study showed that painful stimulation and TENS application can be used to diagnose Fibromyalgia disease by using fNIRS.
Açıklama
25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY
Eken, Aykut/0000-0002-7023-7930
WOS: 000413813100133
Eken, Aykut/0000-0002-7023-7930
WOS: 000413813100133
Anahtar Kelimeler
fNIRS, TENS, Fibromyalgia, Classification, Self-Report
Kaynak
2017 25Th Signal Processing And Communications Applications Conference (Siu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
