49 citations · 254 across the 11 of their papers we have counts for
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eess.SP2026
Cross-Sectional Separability versus Longitudinal Response in Short-Record Parkinsonian Gait Analysis Using FEG-Pro: Nordic Walking and Adapted Physical Activity
Xuanbao Xiang, Andrei Velichko, Xiaobo Rao +1
\textbf{Objective:} Machine-learning separation of rehabilitation cohorts does not inherently establish a differential intervention response. This study used Forecast-Error Growth…
eess.SP2023
Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment
Maksim Belyaev, Murugappan Murugappan, Andrei Velichko +1
The study presents the concept of a computationally efficient machine learning (ML) model for diagnosing and monitoring Parkinson's disease (PD) in an Internet of Things (IoT) envi…