Cloud-based gait analysis using a single IMU for parkinson disease
Freezing of gait (FOG) is one of the most common disabling symptoms in Parkinson disease (PD), causing a high risk of falling and lost life quality. There is no curative treatment due to a lack of understanding of the pathophysiology. Early detection with a proper customized rehabilitation program c...
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th-mahidol.766532022-08-04T18:26:59Z Cloud-based gait analysis using a single IMU for parkinson disease Jetsada Amin Peeraya Ruthiraphong Faculty of Medicine Ramathibodi Hospital, Mahidol University Mahidol University Computer Science Engineering Physics and Astronomy Freezing of gait (FOG) is one of the most common disabling symptoms in Parkinson disease (PD), causing a high risk of falling and lost life quality. There is no curative treatment due to a lack of understanding of the pathophysiology. Early detection with a proper customized rehabilitation program can slow the disease's progression and extend their independent living. Furthermore, the objective and real-time monitoring of gait patterns is also important as it can be used to adjust treatment programs and follow up the clinical progress effectively. However, the assessment nowadays is typically depending on a subjective FOQ questionnaire. This paper proposes a low-cost wearable IMU sensor that integrates cloud computing technology to monitor and assess PD patients' gait. The device uses a single IMU sensor, which combines a 3-axis gyroscope and a 3-axis accelerometer, to record dynamic acceleration and perform gravity compensation. The preliminary results from 14 patients show that the proposed device can display freezing episodes and variability or decreased acceleration correlated with falling risk. Moreover, the proposed cloud platform can be applied to other telehealth services. 2022-08-04T08:26:38Z 2022-08-04T08:26:38Z 2021-05-19 Conference Paper ECTI-CON 2021 - 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology: Smart Electrical System and Technology, Proceedings. (2021), 1129-1132 10.1109/ECTI-CON51831.2021.9454716 2-s2.0-85112850232 https://repository.li.mahidol.ac.th/handle/123456789/76653 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85112850232&origin=inward |
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Computer Science Engineering Physics and Astronomy Jetsada Amin Peeraya Ruthiraphong Cloud-based gait analysis using a single IMU for parkinson disease |
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Freezing of gait (FOG) is one of the most common disabling symptoms in Parkinson disease (PD), causing a high risk of falling and lost life quality. There is no curative treatment due to a lack of understanding of the pathophysiology. Early detection with a proper customized rehabilitation program can slow the disease's progression and extend their independent living. Furthermore, the objective and real-time monitoring of gait patterns is also important as it can be used to adjust treatment programs and follow up the clinical progress effectively. However, the assessment nowadays is typically depending on a subjective FOQ questionnaire. This paper proposes a low-cost wearable IMU sensor that integrates cloud computing technology to monitor and assess PD patients' gait. The device uses a single IMU sensor, which combines a 3-axis gyroscope and a 3-axis accelerometer, to record dynamic acceleration and perform gravity compensation. The preliminary results from 14 patients show that the proposed device can display freezing episodes and variability or decreased acceleration correlated with falling risk. Moreover, the proposed cloud platform can be applied to other telehealth services. |
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Faculty of Medicine Ramathibodi Hospital, Mahidol University |
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Faculty of Medicine Ramathibodi Hospital, Mahidol University Jetsada Amin Peeraya Ruthiraphong |
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Conference or Workshop Item |
author |
Jetsada Amin Peeraya Ruthiraphong |
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Jetsada Amin |
title |
Cloud-based gait analysis using a single IMU for parkinson disease |
title_short |
Cloud-based gait analysis using a single IMU for parkinson disease |
title_full |
Cloud-based gait analysis using a single IMU for parkinson disease |
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Cloud-based gait analysis using a single IMU for parkinson disease |
title_full_unstemmed |
Cloud-based gait analysis using a single IMU for parkinson disease |
title_sort |
cloud-based gait analysis using a single imu for parkinson disease |
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2022 |
url |
https://repository.li.mahidol.ac.th/handle/123456789/76653 |
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