Latest AI and machine learning research in sports medicine for healthcare professionals.
Robotic therapy is a useful method applied during rehabilitation of stroke patients (to regain motor functions). To ensure active participation of the patient, assistance-as-needed is provided during robotic training. However, most existing studies are based on a predetermined desired trajectory, which significantly limits the use of this method for more complex scenarios. In this paper, artificia...
INTRODUCTION: Concussion prevalence in sport is well recognized, so too is the challenge of clinical and return-to-play management for an injury with an inherent indeterminant time course of resolve. A clear, valid insight into the anticipated resolution time could assist in planning treatment intervention.
Brain-Machine Interface (BMI) is a technology that enables users to control computers/machines intuitively via their volitional brain activities. Cont...
In a robotic rehabilitation setup, patient's safety and interaction stability are critical throughout the therapy. This paper addresses the stability ...
Active rehabilitation training can improve patients' neural engagement and the rehabilitation effects. A position based impedance control strategy is ...
Loss of locomotion is one major problem faced by the elderly currently. Various rehabilitation technologies have been developed to assist them in reco...
The reliable classification of Electroencephalography (EEG) signals is a crucial step towards making EEG-controlled non-invasive neuro-exoskeleton reh...
Synchronous forelimb-hindlimb gait pattern is important to facilitate natural walking behavior of an injured rat with total transection. Since our ult...
This study investigated the possibility of utilising physiological responses and machine learning techniques to determine the degree of participation ...
Patients with issues such as cerebral palsy, spinal cord injury, and multiple sclerosis have difficulties with activities of daily living (ADL). Their...
For successful rehabilitation of a patient after a stroke or traumatic brain injury, it is crucial that rehabilitation activities are motivating, prov...
Keeping ligament strain at an appropriate range is beneficial for avoiding unexpected injuries and enhancing treatment efficacy. This study proposes a...
To measure the life log of humans and enjoy virtual or augmented reality video games, several wearable devices have been developed that allow users to...
Demand for Vocational Rehabilitation in Iceland has been steadily rising in recent years where the presence of young patients has increased proportion...
Our research team has developed two versions of an ankle robot for children with cerebral palsy. Both devices provide three degrees of freedom and are...
Wearable exoskeletons show promise as a means for compensating lost function as well as for providing optimal assistance for maximal therapeutic benef...
Rehabilitation robotics is an emerging field in which gait training has been largely automated allowing more intensive, repetitive motions which are i...
Task-oriented therapy consists of three stages: demonstration, observation and assistance. While demonstration using robots has been extensively studi...
In this paper, we present the new personalized 3D printed soft robotic hand for providing rehabilitation training and daily activities assistance to s...
Proprioception, the ability to sense body position and limb movements in space without visual feedback, is one of the key factors in controlling body ...