Detecting Postural Instability in Parkinson's Disease From IMU-Based Objective Measures

Parkinson’s Disease (PD) is a progressive neurological disorder that affects both motor and non-motor functions. A critical aspect of PD is postural instability, which is associated with a higher risk of falls and a significant decline in mobility. The onset of postural instability is frequently ide...

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Detalles Bibliográficos
Autores: Smith, Kendal, Torricelli, Diego, Gonzalez Sanchez, Miguel, Pérez-Sánchez, Javier Ricardo, Luque Buzo, Elisa, Grandas, Francisco, Marin, Juan Miguel, Gomez Garcia, Jorge Andrés
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/417733
Acceso en línea:http://hdl.handle.net/10261/417733
Access Level:acceso abierto
Palabra clave:Accelerometer
H&Y
Hoehn and Yahr
IMU
inertial measurement unit
Parkinson’s disease
postural instability
postural reactions
pull test
Descripción
Sumario:Parkinson’s Disease (PD) is a progressive neurological disorder that affects both motor and non-motor functions. A critical aspect of PD is postural instability, which is associated with a higher risk of falls and a significant decline in mobility. The onset of postural instability is frequently identified through subjective clinical assessments such as the pull test, which aligns with the transition from Stage II to Stage III on the Hoehn and Yahr (H&Y) scale, a measure of general motor impairment. This study aims to pinpoint this transition by providing an objective quantification of the pull test, to prevent falls and manage severe motor symptoms via early detection. Sixty objective metrics were characterised from acceleration data using inertial measurement units (IMU) during pull tests conducted with 30 PD patients to differentiate between H&Y Stages II and III. Significant differences in feature distributions were identified, with two features achieving a ROC AUC of 0.95: chest to lumbar maximum acceleration ratio, and power ratio of 8-12 Hz versus total acceleration power. This paper demonstrates the ability of certain IMU-derived features to distinguish between H&Y Stages II and III, presenting more straightforward and objective measurements compared to conventional pull test metrics. Furthermore, the study explores the inconsistencies in the administration of the pull test by different examiners and shows that even with these inconsistencies, objective measures can still effectively differentiate between stages. To the best of our knowledge, this work represents the first extensive attempt to objectively quantify the pull test for this type of classification.