Statistical methods for analysis of Parkinson’s disease gait pattern and classification

A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques

(2018) Mehrbakhsh Nilashi et al.   Biocybernetics and Biomedical Engineering

Prediction of ground reaction forces for Parkinson's disease patients using a kinect-driven musculoskeletal gait analysis model

(2017) Moataz Eltoukhy et al.   MEDICAL ENGINEERING & PHYSICS

From action to activity: Sensor-based activity recognition

(2016) Ye Liu et al.   NEUROCOMPUTING

Accuracy Improvement for Predicting Parkinson’s Disease Progression

(2016) Mehrbakhsh Nilashi et al.   Scientific Reports

Gait recognition by fluctuations

(2014) Muhammad Rasyid Aqmar et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Phase Estimation of a Single Quasi-Periodic Signal

(2014) Yasushi Makihara et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Gait Disorders in Parkinson's Disease: Assessment and Management

(2013) Pei-Hao Chen et al.   International Journal of Gerontology

Feature extraction and selection for objective gait analysis and fall risk assessment by accelerometry

(2011) Benoit Caby et al.   Biomedical Engineering Online

A vision-based regression model to evaluate Parkinsonian gait from monocular image sequences

(2011) You-Yin Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gait analysis comparing Parkinson's disease with healthy elderly subjects

(2010) Roberta de Melo Roiz et al.   ARQUIVOS DE NEURO-PSIQUIATRIA

Statistical Analysis of Gait Rhythm in Patients With Parkinson's Disease

(2009) Yunfeng Wu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING