Fall risk assessment and fall detection are crucial for the prevention of adverse and long-
term health outcomes. Wearable sensor systems have been used to assess fall risk and …

Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …

Background The traditional evaluation of gait in the laboratory during structured testing has
provided important insights, but is limited by its “snapshot” character and observation in an …

Background Gait is emerging as a powerful diagnostic and prognostic tool, and as a
surrogate marker of disease progression for Parkinson's disease (PD). Accelerometer-based …

Early detection of high fall risk is an essential component of fall prevention in older adults.
Wearable sensors can provide valuable insight into daily-life activities; biomechanical …

Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

Background Falls are a major health problem for older adults with significant physical and
psychological consequences. A first step of successful fall prevention is to identify those at …

Background Falls are associated with gait impairments in older adults (OA) and Parkinson's
disease (PD). Current approaches for evaluating falls risk are based on self-report or one …

Gait abnormalities are typically derived from neurological conditions or orthopaedic
problems and can cause severe consequences such as limited mobility and falls. Gait …

Background: Gait recognition has been applied in the prediction of the probability of elderly
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …