title: Real-time digital median frequency estimator for surface myoelectric signals.
abstract: A prototype instrument is described that uses a digital signal processor to estimate the median frequency of the myoelectric signal in real time. A set of tenth-order digital low-pass filters is used to track the median frequency. An estimate of frequency is obtained once every 256 ms with a resolution of 1 Hz.
authors.affiliation: Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada.
authors.forename: A J
authors.initials: AJ
authors.lastname: Pratt
authors.forename: R E
authors.initials: RE
authors.lastname: Gander
authors.forename: B R
authors.initials: BR
authors.lastname: Brandell
mesh_terms: D000465:Algorithms; D003199:Computer Systems; D004576:Electromyography; D008991:Monitoring, Physiologic; D012815:Signal Processing, Computer-Assisted; D013499:Surface Properties