Title :
A novel method of detection and classification of motor nerve late-wave activity
Author :
Iyer, D. ; Zheng, L. ; Williams, M.L. ; Tracey, B.H. ; Gozani, S.N.
Author_Institution :
NEUROMetrix, Inc., Waltham, MA, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
In motor nerve conduction studies, important diagnostic information is provided by the late-wave responses, comprised of F-waves, A-waves, and repeaters. Late-waves in addition to contamination from power line interference and baseline disturbance, are of low amplitude and random in nature. This makes computer-based analysis of late-wave activity very challenging, especially the computer-based F-wave onset latency assignment. Currently available algorithms assign latency independently on a trace-by-trace basis without considering the information present in an entire ensemble of traces. A novel algorithm that takes into account the ensemble information for segmenting and classifying regions of late-wave data is described in this paper, which in turn can be used to improve the performance of computer-based F-wave onset latency assignment.
Keywords :
bioelectric phenomena; medical signal detection; medical signal processing; neurophysiology; patient diagnosis; signal classification; A-waves; F-waves; baseline disturbance; computer-based analysis; diagnostic information; motor nerve conduction; motor nerve late-wave activity classification; motor nerve late-wave activity detection; onset latency assignment; power line interference; signal segmentation; trace-by-trace basis; Algorithm design and analysis; Classification algorithms; Compounds; Extremities; Morphology; Muscles; Repeaters; Action Potentials; Algorithms; Electrophysiology; Humans; Image Processing, Computer-Assisted; Motor Neurons; Neural Conduction;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091933