Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …

Current challenges demand a profound restructuration of the global healthcare system. A
more efficient system is required to cope with the growing world population and increased …

Distinct gait characteristics like short steps and shuffling gait are prototypical signs
commonly observed in Parkinson's disease. Routinely assessed by observation through …

A detailed and quantitative gait analysis can provide evidence of various gait impairments in
elderly people. To provide an objective decision-making basis for gait analysis, simple …

Changes in gait patterns provide important information about individuals' health. To perform
sensor based gait analysis, it is crucial to develop methodologies to automatically segment …

Human gait data can be collected using inertial measurement units (IMUs). An IMU is an
electronic device that uses an accelerometer and gyroscope to capture three-axial linear …

One of the key challenges in Big Data for clinical research and healthcare is how to integrate
new sources of data, whose relation to disease processes are often not well understood …

Wearable sensors are able to monitor physical health in a home environment and detect
changes in gait patterns over time. To ensure long-term user engagement, wearable …

The radio frequency identification (RFID) technologies, which have been widely adopted in
different Internet of Things (IoT) applications, are the fundamental building block for …

This article presents an overview of fifty-eight articles dedicated to the evaluation of physical
activity in free-living conditions using wearable motion sensors. This review provides a …