title: A novel method of detection and classification of motor nerve late-wave activity.
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.
authors.affiliation: NEUROMetrix, Inc, 62 Fourth St, Waltham MA 02451, USA. darshan_iyer @neurometrix.com
authors.forename: D
authors.initials: D
authors.lastname: Iyer
authors.forename: L
authors.initials: L
authors.lastname: Zheng
authors.forename: M L
authors.initials: ML
authors.lastname: Williams
authors.forename: B H
authors.initials: BH
authors.lastname: Tracey
authors.forename: S N
authors.initials: SN
authors.lastname: Gozani
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D004594:Electrophysiology / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009046:Motor Neurons / Q000145:classification* / Q000502:physiology*; D009431:Neural Conduction / Q000502:physiology