Crossing moving obstacles requires different space-time adjustments compared with stationary obstacles. Our aim was to investigate gait spatial and temporal parameters in the approach and crossing phases of a moving obstacle. We hypothesized that obstacle speed affects gait parameters, which allow us to distinguish locomotor strategies. Ten young adults walked and stepped over an obstacle that ...

With the advent of the functional electrical stimulation (FES) technology and its application as a walking aid, the need emerged to detect accurately specific phases (events) in the human gait cycle in order to time the stimulation sequences applied to the muscles [1]. In the recent literature, several sensor combinations (foot switches [2,3,4], goniometers [3,4], tilt sensors [5], acceleromete...

People with neurological disorders like Cerebral Palsy (CP) and Multiple Sclerosis (MS) suffer associated functional gait problems. The symptoms and sign of these gait deficits are different between subjects and even within a subject at different stage of the disease. Identifying these gait related abnormalities helps in the treatment planning and rehabilitation process. The current gait assess...

A new gait phase detection system for continuous monitoring based on wireless sensorized insoles is presented. The system can be used in gait analysis mobile applications, and it is designed for real-time demarcation of gait phases. The system employs pressure sensors to assess the force exerted by each foot during walking. A fuzzy rule-based inference algorithm is implemented on a smartphone a...

BACKGROUND Aging brings about a number of degenerative changes in the body. The aging process in-creases its pace after the menopause. Women notice functional limitations in their daily lives, including mobility problems, as early as in their forties. Gait is one of the most reliable parameters reflecting the body's overall function and condition. The aim of this study was to determine the effe...

BACKGROUND The aim of the present study was to identify gait parameters in elderly Japanese women. 30 elderly women (65-74.9 years old) and 19 very elderly women (≥75 years old) participated in this study. A 3-dimensional (3D) motion analysis system was used to collect kinematic data, and a total of 70 gait parameters were analysed. Gait parameters included basic gait parameters, gait cycle par...