Assessment of Motor Impairments in Early Untreated Parkinson's Disease Patients: The Wearable Electronics Impact

• Published in: IEEE journal of biomedical and health informatics Vol. 24; no. 1; pp. 120 - 130
• Main Authors: Ricci, Mariachiara, Di Lazzaro, Giulia, Pisani, Antonio, Mercuri, Nicola B., Giannini, Franco, Saggio, Giovanni
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Abnormalities; Accelerometry - instrumentation; Adult; Aged; Aged, 80 and over; Anomalies; Atmospheric measurements; Biomedical measurement; Equipment Design; Female; Humans; IMU; Inspection; Machine Learning; Male; Middle Aged; Monitoring, Physiologic - instrumentation; motion analysis; Movement - physiology; Movement disorders; Neurodegenerative diseases; Parkinson Disease - classification; Parkinson Disease - diagnosis; Parkinson Disease - physiopathology; Parkinson's disease; Particle measurements; Sensorimotor integration; Sensors; signal processing; Signal Processing, Computer-Assisted - instrumentation; Task analysis; Wearable Electronic Devices; Wearable sensors; Wearable technology

Objective: The complex nature of Parkinson's disease (PD) makes difficult to rate its severity, mainly based on the visual inspection of motor impairments. Wearable sensors have been demonstrated to help overcoming such a difficulty, by providing objective measures of motor abnormalities. Howev...