Title :
Phasic Electromyographic Metric detection based on wavelet analysis
Author :
Fairley, Jacqueline A. ; Georgoulas, George ; Stylios, Chrystostomos D. ; Vachtsevanos, George ; Rye, David B. ; Bliwise, Donald L.
Author_Institution :
Sch. of Med., Dept. of Neurology, Emory Univ., Atlanta, GA, USA
Abstract :
The Phasic Electromyographic Metric (PEM) has been recently introduced as a sensitive indicator to differentiate Parkinson´s Disease (PD) patients from controls, non-PD patients with a history of Rapid Eye Movement Disorder (RBD) from controls, and PD patients with early and late stage disease. However, PEM assessment through visual inspection is a cumbersome and time consuming process. Therefore, a reliable automated approach is required so as to increase the utilization of PEM as a reliable and efficient clinical tool to track PD progression. In this study an automated method for the detection of PEM is presented, based on the use of signal analysis and pattern recognition techniques. The results are promising indicating that an automatic PEM identification procedure is feasible.
Keywords :
biomechanics; diseases; electromyography; eye; medical disorders; neurophysiology; pattern recognition; visual perception; wavelet transforms; Parkinsons disease; automatic identification; pattern recognition techniques; phasic electromyographic metric detection; rapid eye movement disorder; reliable automated approach; signal analysis; visual inspection; wavelet analysis; Electromyography; Feature extraction; Labeling; Leg; Visualization; Wavelet transforms;
Conference_Titel :
Control & Automation (MED), 2011 19th Mediterranean Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4577-0124-5
DOI :
10.1109/MED.2011.5983202