%0 Journal Article %1 Chen1990 %A Chen, J. J. %A Shiavi, R. %D 1990 %J IEEE Trans Biomed Eng %K Algorithms; Cerebral Palsy; Child; Child, Preschool; Cluster Analysis; Diagnosis, Computer-Assisted; Electromyography; Gait; Humans; Reference Values; Time Factors %N 3 %P 295--302 %T Temporal feature extraction and clustering analysis of electromyographic linear envelopes in gait studies. %V 37 %X A technique for automatically clustering linear envelopes of the EMG during gait has been developed which uses a temporal feature representation and a maximum peak matching scheme. This new technique provides a viable way to define compact and meaningful EMG waveform features. The envelope matching is performed by dynamic programming, providing qualitatively the largest numbers of matched peaks and quantitatively a minimum distance measurement. The resulting averaged EMG profiles have low statistical variation and can serve as templates for EMG comparison and further classification.

@article{Chen1990, abstract = {A technique for automatically clustering linear envelopes of the EMG during gait has been developed which uses a temporal feature representation and a maximum peak matching scheme. This new technique provides a viable way to define compact and meaningful EMG waveform features. The envelope matching is performed by dynamic programming, providing qualitatively the largest numbers of matched peaks and quantitatively a minimum distance measurement. The resulting averaged EMG profiles have low statistical variation and can serve as templates for EMG comparison and further classification.}, added-at = {2014-07-19T19:15:00.000+0200}, author = {Chen, J. J. and Shiavi, R.}, biburl = {https://www.bibsonomy.org/bibtex/2728a4f815356abdf1af85ca3bc58cc79/ar0berts}, groups = {public}, interhash = {e411b1e62c826a4251db4769a369e34d}, intrahash = {728a4f815356abdf1af85ca3bc58cc79}, journal = {IEEE Trans Biomed Eng}, keywords = {Algorithms; Cerebral Palsy; Child; Child, Preschool; Cluster Analysis; Diagnosis, Computer-Assisted; Electromyography; Gait; Humans; Reference Values; Time Factors}, month = Mar, number = 3, pages = {295--302}, pmid = {2184121}, timestamp = {2014-07-19T19:15:00.000+0200}, title = {Temporal feature extraction and clustering analysis of electromyographic linear envelopes in gait studies.}, username = {ar0berts}, volume = 37, year = 1990 }