Latest AI and machine learning research in sports medicine for healthcare professionals.
Soft robotic glove with brain computer interfaces (BCI) control has been used for post-stroke hand f...
Within the field of robots in medical education, most of the work done during the last years has foc...
BACKGROUND: Left ventricular (LV) strain measurements can be derived using cardiac MRI from routinel...
In this paper, we present ARMIA: a sensorized arm wearable that includes a combination of inertial a...
The Leap Motion Controller (LMC) is a low-cost markerless optical sensor that performs measurements ...
Gymnastics is an increasingly popular sport and an important event in the Olympic Games. However, th...
Artificial intelligence techniques were explored to assess the ability to anticipate self-harming be...
This work aimed to investigate the application value of the multimodal magnetic resonance imaging (M...
People with mobility impairments have reported that improving their walking is one of the most impor...
The early detection of traumatic brain injuries can directly impact the prognosis and survival of pa...
BACKGROUND We aimed to develop and evaluate a deep learning-based method for fully automatic segment...
OBJECTIVE: Acute kidney injury (AKI) after pediatric cardiac surgery with cardiopulmonary bypass (CP...
Iron tailings sand is a kind of mineral waste, and open-air storage is a common treatment method for...
Head impacts are highly prevalent in sports and there is a pressing need to investigate the potentia...
BACKGROUND: Stroke related motor function deficits affect patients' likelihood of returning to profe...
Concussions, also known as mild traumatic brain injury (mTBI), are a growing health challenge. Appro...
High-performance actuating materials are necessary for advances in robotics, prosthetics and smart c...
Cephalopod (e.g., squid, octopus, etc.) skin is a soft cognitive organ capable of elastic deformatio...
With the development of my country's economy and society and the improvement of civilization, the si...
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - pri...
We propose a sensor design for measurement of large strains where direct application of a fiber opti...