Recently, as a wearable-sensor-based approach, a smart insole device has been used to
analyze gait patterns. By adding a small low-power sensor and an IoT device to the smart …

The amount of data to be transmitted from each smart device to the cloud server increases
with the number of sensors, so compressing the acquired biosignals before transmission is …

In recent years, there has been major interest in recognising electromyography (EMG)
patterns. This work proposes a new method based on a biclustering algorithm which can …

Gait phase recognition based on surface electromyography (sEMG) signals provides a
human–robot interface (HRI) for rehabilitation robots. However, a high-performance deep …

Objective To observe changes of correlations of gait parameters of four sets of body in
children aged 3–6. Design A cross-sectional observational study. Setting Dong Gang …

被动踝关节外骨骼(unpowered-ankle exoskeleton) 可实现人体步态行走良好辅助作用,
但对其助行增强效果研究多局限于跑步机行走范式, 现少有在平地行走下穿戴外骨骼对穿戴者 …

Mechanical scooter riding is a popular physical activity among children, but little is known
about the differences in muscle loading between the dominant and non-dominant sides …

Study aim: The functional assessment of patients after anterior cruciate ligament
reconstruction (ACLR) is one of the key points in deciding whether one can safely return to …

We propose a novel approach for discriminating the effects of gait asymmetry on unilateral
normal lower limb gait variations, based on a multi-kernel convolutional deep learning …

Due to the growing need for low-cost, easy-to-use human health monitoring systems, it is
important to develop new devices and their components. This paper presents the research …