Background Emerging sensing and communication technologies are contributing to the
development of many motor rehabilitation programs outside the standard healthcare …

Physical activity in children and youth is associated with physiological, physical, and mental
health benefits with research suggesting that the more physical activity one accumulates, the …

This paper presents a versatile multi-sensor fusion method and decision-making algorithm
for ambulatory and continuous patient monitoring purposes via a body sensor network …

Parkinson's disease (PD) is one of the most prevalent neurological diseases, described by
complex clinical phenotypes. The manifestations of PD include both motor and non-motor …

The optoelectronic system gives the most sensitive results among motion capture systems;
however, it has limited use due to its disadvantages such as high cost, time-consuming …

This paper presents a cost-and time-effective wearable inertial sensor system, the
InertialLAB. It includes gyroscopes and accelerometers for the real-time monitoring of 3D …

In this paper, a novel method for monitoring the changes in gait joint angle trajectories
recorded using the low-cost and wearable Inertial Measurement Units (IMU) is presented …

In this paper, a robust algorithm for gait cycle segmentation is proposed based on a peak
detection approach. The proposed algorithm is less influenced by noise and outliers and is …

Gait analysis is an important research field in neurodegenerative disease diagnosis. Various
IMU-based and vision-based methods have been developed for measuring joint angles …

This paper presents a wearable harmonic radar system for biomechanical joint angle
estimation to be used in medical rehab applications. Active frequency doubling reflector tags …