Gait symmetry is important in measuring gait pattern alterations for establishing the level of
functional limitation due to pathology, observing its changes over time and evaluating …

Parkinson's disease (PD) is a neurodegenerative disorder that causes severe motor and
cognitive dysfunctions. Several types of physiological signals can be analyzed to accurately …

Gait analysis plays an important role in maintaining the well-being of human mobility and
health care, and is a valuable tool for obtaining quantitative information on motor deficits in …

This article presents a machine learning methodology for diagnosing Parkinson's disease
(PD) based on the use of vertical Ground Reaction Forces (vGRFs) data collected from the …

This paper aims to assess the use of Inertial Measurement Unit (IMU) sensors to identify gait
asymmetry by extracting automatic gait features. We design and develop an android app to …

It is well known that most patients with Parkinson's disease (PD) have different degree of
movement disorders, such as shuffling, festination and akinetic episodes, which could …

Neurodegenerative diseases (NDDs), such as Parkinson's disease (PD), Huntington's
disease (HD) and amyotrophic lateral sclerosis (ALS), create serious gait abnormalities …

This paper focuses on detecting freezing of gait in Parkinson's patients using body-worn
accelerometers. In this study, we analyzed the robustness of four feature sets, two of which …

Parkinson's disease (PD) is a common neurodegenerative disorder that affects human's
quality of life, especially leading to locomotor deficits such as postural instability and gait …

Introduction: Gait features differ between Parkinson's disease (PD) and healthy subjects
(HS). Kinematic alterations of gait include reduced gait speed, swing time, and stride length …