DocumentCode :
1822256
Title :
A prediction model for differentiating chronic pain patients and healthy subjects based on withdrawal reflex EMG signals
Author :
Nguyen, G.P. ; Manresa, J.A.B. ; Curatolo, M. ; Moeslund, T.B. ; Andersen, O.K.
Author_Institution :
Dept. of Health Sci. & Technol., Aalborg Univ., Aalborg, Denmark
fYear :
2011
fDate :
April 27 2011-May 1 2011
Firstpage :
92
Lastpage :
95
Abstract :
The nociceptive withdrawal reflex (NWR) has been proven to be a valuable tool in the objective assessment of spinal cord hyperexcitability that is present in chronic pain disorders. However, most of the studies on objective assessment of central sensitisation focus on population differences between patients and healthy individuals and do not provide tools for individual assessment. In this study, a method was developed to objectively assess pain hyperexcitability in individuals using the NWR. Results showed high rate of correct assessment with up to ~80% when differentiating between healthy volunteers and chronic pain patients.
Keywords :
diseases; electromyography; medical disorders; medical signal detection; neurophysiology; prediction theory; EMG signals; chronic pain disorders; healthy volunteers; nociceptive withdrawal reflex; prediction model; spinal cord hyperexcitability; Electrodes; Electromyography; Histograms; Pain; Predictive models; Probability distribution; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location :
Cancun
ISSN :
1948-3546
Print_ISBN :
978-1-4244-4140-2
Type :
conf
DOI :
10.1109/NER.2011.5910496
Filename :
5910496
Link To Document :
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