Latest AI and machine learning research in sports medicine for healthcare professionals.
Many robotic devices that are used for therapy or as assistive devices rely on pre-defined reference trajectories to assist the user's movements. Fixed pre-defined trajectories force the user to adapt to unnatural movement patterns which may be detrimental to rehabilitation outcomes. We propose a database-driven approach to adapt the reference trajectory of robotic training devices that rely on cy...
This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation procedure. Robotic devices have significantly been useful to help therapists do the training procedure. However, due to the lack of quantifiable feedback regarding the level of intervention, effectiveness of various parameters, such as timing, intensity, etc., the training and its efficacy varies rema...
This paper presents a compact and streamlined design of a soft exoskeleton glove for assistance in activities of daily livings and also rehabilitation...
Clinical investigators have asserted patients should be active participants in the therapy process in stroke rehabilitation. While robotics introduces...
Feature learning plays a crucial role in data analysis when the measured data is in a high dimensional space. This paper applied the feature learning ...
Upper-limb rehabilitation training for hemiplegic patients has been primarily conducted by human therapists, and, hence, their use of training methods...
There is an increasing population of people living with both HIV and stroke around the world with no effective neurorehabilitation strategies to deal ...
With the aging of the society, the number of stroke patients has been increasing year by year. Compared with the traditional rehabilitation therapy, t...
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learn...
The impact of transcranial direct current stimulation (tDCS) is controversial in the neurorehabilitation literature. It has been suggested that tDCS s...
Multimodal signal analysis based on sophisticated noninvasive sensors, efficient communication systems, and machine learning, have a rapidly increasin...
Several robotic devices have been developed for the rehabilitation of treadmill walking in patients with movement disorders due to injuries or disease...
PURPOSE: Three of the most commonly identified hamstring strain injury (HSI) risk factors are age, previous HSI, and low levels of eccentric hamstring...
We have been developing the robotic wear curara as both a welfare device and rehabilitation robot that assists the elderly and disabled. curara is aim...
OBJECTIVE: To propose a kind of robotic ankle-foot rehabilitation system for children with cerebral palsy and to preliminarily verify its feasibility ...
Synechocystis sp. strain PCC6803 (Synechocystis) is a model microorganism and its mechanosensitive (MS) channels play important roles in its osmoadapt...
BACKGROUND: Most stroke survivors are suffering from physical motor impairments and confronting with the risk of falls, and well trunk stability is es...
This study aimed to evaluate the effectiveness and safety of using the upper limb single-joint Hybrid Assistive Limb (upper limb HAL-SJ) during elbow ...
BACKGROUND: Effective neurological rehabilitation requires long term assessment and treatment. The rapid progress of virtual reality-based assistive t...
BACKGROUND: Significant results have been shown when an upper limb robot-assisted rehabilitation is delivered to stroke patients.