Background Machine learning approaches for the classification of pathological gait based
on kinematic data, eg derived from inertial sensors, are commonly used in terms of a multi …

Background: The frailty status of hemodialysis patients is well-known, but the role of the
therapy in the frailty process is not yet clear. Nowadays gait analysis in nephrology is …

Fatigue is a key factor that affects human motion and modulates physiology, biochemistry,
and performance. Prolonged cyclic human movements (locomotion primarily) are …

Every human being walks in a different way. Emerging evidence suggests that the signature
or the pattern of gait is a sensitive biomarker of old age and is related to impairments in …

In adults 65 years or older, falls or other neuromotor dysfunctions are often framed as
walking-related declines in motor skill; the frequent occurrence of such decline in walking …

Gait quality significantly affects the physical and mental health of lower limb prosthesis
users. In this work, a wearable gait monitoring system was developed for lower limb …

Accelerometer is a common device being used in healthcare industry to recognize human
daily activity as the early detection for the risk of fall. Past studies have been carried out in …

3. Methods Eleven patients with TFA (46.7±14.0 years, 72.9±12.6 kg, 176.0±6.2 cm) and a
matched control group of twelve unimpaired individuals (47.8±14.1 years, 76.8±16.8 kg …

L'analisi del cammino è oggetto di molti progetti di ricerca in campo medico dal momento
che una valutazione accurata ed affidabile delle sue caratteristiche può fornire informazioni …

Team sports frequently use inertial measurement units (IMU) fixed at the scapulae for the
quantification of athlete performance. Similar IMU are used in clinical settings for gait …