Wristbands Containing Accelerometers for Objective Arm Swing Analysis in Patients with Parkinson’s Disease

Sensors

Yor Castaño¹  Linda Montilla¹  Andrés Navarro¹  Domiciano Rincón¹  Jaime Valderrama²  Maria Camila González²  Jorge Orozco³  Beatriz Muñoz³ 

[1] 12t Research Group, Universidad Icesi, Cali 760031, Colombia;Centro de Investigaciones Clínicas (CIC), Fundación Valle del Lili, Cali 760032, Colombia;Department of Clinical Neurophsicology, Fundación Valle del Lili, Cali 760032, Colombia;

关键词: gait;    wearables;    mobile health;    accelerometer;    Parkinson’s disease;    age-related chronic diseases/syndromes;   

DOI  :  10.3390/s20154339

来源: DOAJ

【 摘 要 】

In patients with Parkinson’s disease (PD), arm swing changes are common, even in the early stages, and these changes are usually evaluated subjectively by an expert. In this article, hypothesize that arm swing changes can be detected using a low-cost, cloud-based, wearable, sensor system that incorporates triaxial accelerometers. The aim of this work is to develop a low-cost, assistive diagnostic tool for use in quantifying the arm swing kinematics of patients with PD. Ten patients with PD and 11 age-matched, healthy subjects are included in the study. Four feature extraction techniques were applied: (i) Asymmetry estimation based on root mean square (RMS) differences between arm movements; (ii) posterior–anterior phase and cycle regularity through autocorrelation; (iii) tremor energy, established using Fourier transform analysis; and (iv) signal complexity through the fractal dimension by wavelet analysis. The PD group showed significant (p < 0.05) reductions in arm swing RMS values, higher arm swing asymmetry, higher anterior–posterior phase regularities, greater “high energy frequency” signals, and higher complexity in their XZ plane signals. Therefore, the novel, portable system provides a reliable means to support clinical practice in PD assessment.

【 授权许可】

Unknown