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Evaluating Performance of the Single Leg Squat Exercise with a Single Inertial Measurement Unit
Whelan, Darragh; O'Reilly, Martin; Ward, Tomas E.; Delahunt, Eamonn; Caulfield, Brian
The single leg squat (SLS) is an important component of lower limb rehabilitation and injury risk screening tools. This study sought to investigate whether a single lumbar-worn IMU is capable of discriminating between correct and incorrect performance of the SLS. Nineteen healthy volunteers (15 males, 4 females, age: 26.09±3.98 years, height: 1.75±0.14m, body mass: 75.2±14.2kg) were fitted with a single IMU on the lumbar spine and asked to perform 10 left leg SLS. These repetitions were recorded and labelled by a chartered physiotherapist. Features were extracted from the labelled sensor data. These features were used to train and evaluate a random-forests classifier. The system achieved an average of 92% accuracy, 78% sensitivity and 97% specificity. These results indicate that a single IMU has the potential to differentiate between a correctly and incorrectly completed SLS. This may allow such devices to be used by clinicians to help track rehabilitation of patients and screen for potential injury risks. Furthermore, the classifier described may be a useful input to an exercise biofeedback application.
Keyword(s): single leg squat; exercise; evaluation; single inertial measurement unit
Publication Date:
2015
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Whelan, Darragh and O'Reilly, Martin and Ward, Tomas E. and Delahunt, Eamonn and Caulfield, Brian (2015) Evaluating Performance of the Single Leg Squat Exercise with a Single Inertial Measurement Unit. In: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques. Association for Computing Machinery, New York, pp. 144-147. ISBN 9781450338981
Publisher(s): Association for Computing Machinery
File Format(s): other
Related Link(s): http://mural.maynoothuniversity.ie/9539/1/TW_evaluating%202015.pdf
First Indexed: 2020-04-02 06:21:41 Last Updated: 2020-04-02 06:21:41