Assessing accelerometer based gait features to support gait analysis for people with Complex Regional Pain Syndrome
Yang, M., Zheng, H., Wang, H., McClean, S., Hall, J. and Harris, N., 2010. Assessing accelerometer based gait features to support gait analysis for people with Complex Regional Pain Syndrome. In: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments. Association for Computing Machinery (ACM). (ACM International Conference Proceeding Series)
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In this paper, we explored the feasibility of analysing gait patterns during the Short Physical Performance Battery test by using an accelerometer to record the movement of the subject. 12 subjects with Complex Regional Pain Syndrome (CRPS) and 10 control subjects were recruited in this study. 21 gait features including temporal, frequency, regularity and symmetric information were extracted from each recording. The differences of each feature value on control subjects and patient subjects were assessed and compared. Features were selected based on the signal to noise ratio (SNR) ranking. Multilayer perceptron neural-networks were employed to differentiate between the normal and abnormal gait patterns. The result shows when using five features the best classification accuracy (97.5%) was achieved. It is feasible to discriminate the patients with CRPS from the control subjects using a small set of gait features extracted from walking acceleration data recorded during the SPPB test.
|Item Type||Book Sections|
|Creators||Yang, M., Zheng, H., Wang, H., McClean, S., Hall, J. and Harris, N.|
|Departments||Faculty of Humanities & Social Sciences > Health|
|Research Centres||Bath Institute of Medical Engineering (BIME)|
|Additional Information||3rd International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2010. 23-25 June 2010. Pythagorion, Samos, Greece.|
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