Department of Physical Therapy Faculty Articles

A combined sEMG and accelerometer system for monitoring functional activity in stroke.

Publication Title

IEEE Transactions on Neural Systems and Rehabilitation Engineering

ISSN

1558-0210

Publication Date

12-31-2009

Keywords

Acceleration, Actigraphy, Activities of Daily Living, Adult, Aged, Diagnosis, Computer-Assisted, Electromyography, Middle Aged, Movement, Paresis, Reproducibility of Results, Sensitivity and Specificity, Stroke, Systems Integration

Abstract

Remote monitoring of physical activity using body-worn sensors provides an alternative to assessment of functional independence by subjective, paper-based questionnaires. This study investigated the classification accuracy of a combined surface electromyographic (sEMG) and accelerometer (ACC) sensor system for monitoring activities of daily living in patients with stroke. sEMG and ACC data (eight channels each) were recorded from 10 hemiparetic patients while they carried out a sequence of 11 activities of daily living (identification tasks), and 10 activities used to evaluate misclassification errors (nonidentification tasks). The sEMG and ACC sensor data were analyzed using a multilayered neural network and an adaptive neuro-fuzzy inference system to identify the minimal sensor configuration needed to accurately classify the identification tasks, with a minimal number of misclassifications from the nonidentification tasks. The results demonstrated that the highest sensitivity and specificity for the identification tasks was achieved using a subset of four ACC sensors and adjacent sEMG sensors located on both upper arms, one forearm, and one thigh, respectively. This configuration resulted in a mean sensitivity of 95.0%, and a mean specificity of 99.7% for the identification tasks, and a mean misclassification error of < 10% for the nonidentification tasks. The findings support the feasibility of a hybrid sEMG and ACC wearable sensor system for automatic recognition of motor tasks used to assess functional independence in patients with stroke.

DOI

10.1109/TNSRE.2009.2036615

Volume

17

Issue

6

First Page

585

Last Page

594

Disciplines

Medicine and Health Sciences

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