This paper reviews the recent literature on technologies and methodologies for quantitative
human gait analysis in the context of neurodegenerative diseases. The use of technological …

Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …

Physical mobility is essential to health, and patients often rate it as a high-priority clinical
outcome. Digital mobility outcomes (DMOs), such as real-world gait speed or step count …

Recent years have witnessed a strongly increasing interest in digital technology within
medicine (sensor devices, specific smartphone apps) and specifically also neurology …

Background Parkinson's disease (PD) causes postural instability and gait abnormalities that
may be associated with an arm swing reduction. Objective To conduct systematic review and …

Cardinal motor symptoms in Parkinson's disease (PD) include bradykinesia, rest tremor
and/or rigidity. This symptomatology can additionally encompass abnormal gait, balance …

Vision-based methods using RGB inputs for human pose estimation have grown in recent
years but have undergone limited testing in clinical and biomechanics research areas like …

Deep learning models developed to predict knee joint kinematics are usually trained on
inertial measurement unit (IMU) data from healthy people and only for the activity of walking …

This systematic review and meta-analysis examined previous studies on music-based
interventions for individuals with Parkinson's disease (PD). The effectiveness of the …

Purpose: To examine the between-day absolute reliability of gait parameters acquired with
Theia3D markerless motion capture for use in biomechanical and clinical settings. Methods …