Latest AI and machine learning research in exercise & fitness for healthcare professionals.
BACKGROUND Cardiac arrest (CA) is a global public health challenge. This study explored the predicto...
The purpose of this study was to test whether a machine learning model can accurately predict VO acr...
A parallel hybrid ordinary differential equation (ODE) integrating the Activated Sludge Model No. 2d...
Skeleton-based exercise assessment focuses on evaluating the correctness or quality of an exercise p...
Protein engineering through directed evolution and (semi)rational approaches is routinely applied to...
BACKGROUND: In recent years, numerous methods have been introduced to predict glucose levels using m...
Tai Chi is a Chinese martial art that provides an adaptive and accessible exercise for older adults ...
AIM: Exercise stress ECG is a common diagnostic test for stable coronary artery disease, but its sen...
Machine learning (ML) has transformed protein engineering by constructing models of the underlying s...
The effective design of combinatorial libraries to balance fitness and diversity facilitates the eng...
We present a case of a 75-year-old Asian woman with Guillain-Barré syndrome (GBS) who underwent a 1-...
BACKGROUND: Carotid atherosclerosis (CAS) is a significant risk factor for cardio-cerebrovascular ev...
Behavioural thermoregulation has critical ecological and physiological consequences that profoundly ...
Suicide among the older population is a significant public health concern in South Korea. As the old...
Simulators are widely used in medical education, but objective and automatic assessment is not feasi...
BACKGROUND: Sarcopenia is a muscle-wasting condition that affects older individuals. It can lead to ...
: Robotics is commonly used in the rehabilitation of neuro-musculoskeletal injuries and diseases. Wh...
The Internet of Things (IoT) is an extensive system of interrelated devices equipped with sensors to...
In current smart classroom research, numerous studies focus on recognizing hand-raising, but few ana...
BACKGROUND: Personal sensing, leveraging data passively and near-continuously collected with wearabl...
This work investigates whether inclusion of the low-frequency components of heart sounds can increas...