Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease

Carlos Polvorinos-Fernández, Luis Sigcha, Laura Pereira de Pablo, Luigi Borzí, Luigi Borzí, Paulo Cardoso, Nelson Costa, Susana Costa, Juan Manuel López, Guillermo de Arcas, Ignacio Pavón

2024

Abstract

Currently, objective monitoring of resting tremor in Parkinson’s disease (PD) involves wearable devices and machine learning. Smartwatches may present an affordable method for remote and unintrusive tremor monitoring. However, the development of optimized systems is necessary to perform accurate monitoring in free-living settings. In this study, the potential of inertial sensors to detect resting tremors is evaluated. A smartwatch was placed on the wrist of six subjects with PD during the execution of MDS-UPDRS motor tasks. Data were collected over eight weeks from triaxial accelerometer and gyroscope simultaneously and used to implement machine learning algorithms to detect resting tremor. The best performance (accuracy 97.0% in tremor detection) was achieved using accelerometer data analysed with a Random Forest classifier, while the gyroscope showed lower performance (93.0%). The results indicates that the use of the accelerometer in commercial smartwatches can offer effective results for detecting resting tremors, while reducing computational workload. These results show opportunities for the development of robust free-living tremor monitoring systems using commodity devices and algorithms using a single sensor.

Paper Citation

in Harvard Style

Polvorinos-Fernández C., Sigcha L., Pereira de Pablo L., Borzí L., Cardoso P., Costa N., Costa S., López J., de Arcas G. and Pavón I. (2024). Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 820-827. DOI: 10.5220/0012571600003657

in Bibtex Style

@conference{healthinf24,
author={Carlos Polvorinos-Fernández and Luis Sigcha and Laura Pereira de Pablo and Luigi Borzí and Paulo Cardoso and Nelson Costa and Susana Costa and Juan Manuel López and Guillermo de Arcas and Ignacio Pavón},
title={Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={820-827},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012571600003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease
SN - 978-989-758-688-0
AU - Polvorinos-Fernández C.
AU - Sigcha L.
AU - Pereira de Pablo L.
AU - Borzí L.
AU - Cardoso P.
AU - Costa N.
AU - Costa S.
AU - López J.
AU - de Arcas G.
AU - Pavón I.
PY - 2024
SP - 820
EP - 827
DO - 10.5220/0012571600003657
PB - SciTePress