EMD-Based Method for Supervised Classification of Parkinson’s Disease Patients Using Balance Control Data

• Published in: Bioengineering (Basel) Vol. 9; no. 7; p. 283
• Main Authors: Safi, Khaled, Aly, Wael Hosny Fouad, AlAkkoumi, Mouhammad, Kanj, Hassan, Ghedira, Mouna, Hutin, Emilie
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 28.06.2022; MDPI
• Subjects: Adults; Algorithms; Alzheimer's disease; Bioengineering; Classification; Control data (computers); Decision trees; Disease control; feature extraction; feature selection; Human motion; Life Sciences; Locomotion; Machine learning; Movement disorders; Nervous system; Neurodegenerative diseases; Parameters; Parkinson's disease; postural stability; Posture; Signal processing; stabilometric data; Support vector machines; Wavelet transforms; Young adults

There has recently been increasing interest in postural stability aimed at gaining a better understanding of the human postural system. This system controls human balance in quiet standing and during locomotion. Parkinson’s disease (PD) is the most common degenerative movement disorder that affects...