Latest AI and machine learning research in sports medicine for healthcare professionals.
To build a physically interactive robot for overground applications, it is crucial to first understand the biomechanics of humans underlying overground physical human-robot interaction (pHRI) tasks. Estimating human arm stiffness during overground interactive tasks is a promising first step toward this goal. For this, an arm stiffness estimation technique was developed in our previous works that c...
IoT in healthcare brought a technological revolution in rehabilitation, enabling the patients to get rehabilitation in the comfort of their home, while being supervised remotely by the professionals. IoT enabled rehabilitation ensures a best possible way towards recovery, without inflicting further injuries. It also allows customization of rehabilitation plan based on the patient profile and progr...
Accurate and robust estimation of joint kinematics via surface electromyogram (sEMG) signals provides a human-machine interaction (HMI)-based method t...
Rehabilitation training for patients with motor disabilities usually requires specialized devices in rehabilitation centers. Home-based multi-purpose ...
Robotic devices can be used in upper limb rehabilitation in order to help the total or partial functional recovery. Robots can perform repetitive acti...
Exosuits are a relatively new trend in wearable robotics to answer the flaws of their exoskeleton counterparts, but they remain impractical as the lac...
The ability of ankle rehabilitation robots to accurately mimicking the actual human ankle motion is an important judgment basis for robot-assisted reh...
OBJECTIVE: The purpose of this study was to examine the evidence of the efficacy of rehabilitation approaches for improving severe upper limb impairme...
BACKGROUND: Upper limb robotic rehabilitation can be beneficial to the patients when applied appropriately. HEXO-UR30A is a novel exoskeletal type upp...
OBJECTIVE: To analyze the key points of evaluation on the safety and effectiveness of wearable rehabilitation walking aid robot, then improve its qual...
BACKGROUND: The digital twin concept is the virtual model based on entity design measures, which is used in many enterprises' virtual workshop design ...
BACKGROUND: During neurological rehabilitation training for patients with lower limb dysfunction, active rehabilitation training based on interactive ...
Trunk rehabilitation exercises such as those for remediating core stability can help improve the seated balance of patients with weakness or loss of p...
BACKGROUND: Improving arm-hand skill performance is a major therapeutic target in stroke rehabilitation. Arm-hand rehabilitation may be enriched in co...
BACKGROUND: Robotic solutions for ankle joint physical therapy have extensively been researched. The optimal frequency and intensity of training for p...
Gesture imitation is a common rehabilitation strategy in limb rehabilitation training. In traditional rehabilitation training, patients need to comple...
Sensorimotor disorder can be easily caused by stroke, and there are many targeted movement rehabilitation therapies. With the development of rehabilit...
Fermentation is a green, low-carbon and sustainable process for the production of food, chemicals, fuels, and materials by using microbial strains as ...
To examine the safety and feasibility of three-dimensional (3D) surgical planning system for guiding robot-assisted selective artery clamping partial...
BACKGROUND: This study was performed to update the current evidence and evaluate the effects of robot-assisted rehabilitation (RAR) in comparison with...