Faculty Collaboration Database

Spike sorting paradigm for classification of multi-channel recorded fasciculation potentials. Comput Biol Med 2014 Dec;55:26-35

Date

12/03/2014

Pubmed ID

25450215

Pubmed Central ID

PMC4254689

DOI

10.1016/j.compbiomed.2014.09.013

Scopus ID

2-s2.0-84908371147 (requires institutional sign-in at Scopus site)   6 Citations

Abstract

BACKGROUND: Fasciculation potentials (FPs) are important in supporting the electrodiagnosis of Amyotrophic Lateral Sclerosis (ALS). If classified by shape, FPs can also be very informative for laboratory-based neurophysiological investigations of the motor units.

METHODS: This study describes a Matlab program for classification of FPs recorded by multi-channel surface electromyogram (EMG) electrodes. The program applies Principal Component Analysis on a set of features recorded from all channels. Then, it registers unsupervised and supervised classification algorithms to sort the FP samples. Qualitative and quantitative evaluation of the results is provided for the operator to assess the outcome. The algorithm facilitates manual interactive modification of the results. Classification accuracy can be improved progressively until the user is satisfied. The program makes no assumptions regarding the occurrence times of the action potentials, in keeping with the rather sporadic and irregular nature of FP firings.

RESULTS: Ten sets of experimental data recorded from subjects with ALS using a 20-channel surface electrode array were tested. A total of 11891 FPs were detected and classified into a total of 235 prototype template waveforms. Evaluation and correction of classification outcome of such a dataset with over 6000 FPs can be achieved within 1-2 days. Facilitated interactive evaluation and modification could expedite the process of gaining accurate final results.

CONCLUSION: The developed Matlab program is an efficient toolbox for classification of FPs.

Author List

Jahanmiri-Nezhad F, Barkhaus PE, Rymer WZ, Zhou P

Author

Paul E. Barkhaus MD Professor in the Neurology department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Action Potentials
Aged
Amyotrophic Lateral Sclerosis
Cluster Analysis
Electromyography
Fasciculation
Female
Humans
Male
Middle Aged
Muscle, Skeletal
Principal Component Analysis
Signal Processing, Computer-Assisted