A smart and home-based telerehabilitation tool for patients with neuromuscular disorder

Conference or workshop item

Manna, Soumya K., Hannan, M. A., Azhar, B., Smith, D. and Islam, T. 2022. A smart and home-based telerehabilitation tool for patients with neuromuscular disorder. IEEE. https://doi.org/10.1109/iecbes54088.2022.10079410
AuthorsManna, Soumya K., Hannan, M. A., Azhar, B., Smith, D. and Islam, T.
Description

More than fourteen million people suffer from neuromuscular diseases, including strokes, spinal cord injuries, Parkinson's disease, etc. To return to normal life sooner, a rigorous rehabilitation process is needed. In hospitals, physiotherapists and neurological experts prescribe specific neurorehabilitation exercises. In most cases, patients need to schedule an appointment to receive treatment in a hospital or to have physiotherapists visit them at home. The number of neuromuscular patients has increased, resulting in longer hospital waiting times. In particular, during COVID-19, patients were not allowed to visit hospitals or have physiotherapists visit them due to government restrictions. Online guides for personalised and custom rehabilitation therapy for joint spasticity and stiffness are also not available. This paper reports the development of an IoT-based prototype system that monitors and records joint movements using sensory footwear (consisting of FSR and IMU sensors) and Kinect sensors. In addition, a prototype web portal is also being developed to record performance data during exercises at home and interact with clinicians remotely. A pilot study has been conducted with six healthy individuals and test results show that there is a strong correlation between Kinect data and FSR data in terms of coordination between joint movements.

KeywordsTelerehabilitation; Neuromuscular patient; Wearable sensors; Kinect sensor; Correlation coefficient
Year2022
Conference7th IEEE-EMBS Conference on Biomedical Engineering and Sciences
Digital Object Identifier (DOI)https://doi.org/10.1109/iecbes54088.2022.10079410
Official URLhttps://iecbes.org/index.php
References

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Additional information

Publications router: Date 2022-12-07 of type 'publication_date' with format 'print' included in notification
Publications router: Date 2022-12-07 of type 'ppub' included in notification
Publications router: Date 2022-12-07 of type 'issued' included in notification

Journal2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
PublisherIEEE
Publication dates
Print07 Dec 2022
Publication process dates
Deposited17 Oct 2022
Output statusPublished
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