Identification of lower arm motions using the EMG signals of shoulder muscles.

Abstract:

:This investigation explored pattern recognition of EMG signals produced by shoulder area muscles to identify the performance of a select number of lower arm motions. The signals were modelled as fourth-order autoregressive processes with the parameters of the models used to classify the different motions. The recorded EMG signal was bandpass filtered for each individual to improve discrimination between signals. The method was shown to detect and identify EMG signatures produced by at least two, and sometimes three, different arm motions. Discrimination between the signal models for the motions was not affected by load variation or muscle fatigue.

journal_name

Med Eng Phys

authors

Latwesen A,Patterson PE

doi

10.1016/1350-4533(94)90024-8

subject

Has Abstract

pub_date

1994-03-01 00:00:00

pages

113-21

issue

2

eissn

1350-4533

issn

1873-4030

pii

1350-4533(94)90024-8

journal_volume

16

pub_type

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