Latest AI and machine learning research in exercise & fitness for healthcare professionals.
This study attempted to multimodally measure mental workload and validate indicators for estimating ...
BACKGROUND: Our group developed a rehabilitation robot to assist with repetitive, active reaching mo...
AIM: The purpose of this study was to develop a machine learning prediction model for successful agi...
Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the United States. When diagnosed a...
The global healthcare landscape is continuously changing throughout the world as technology advances...
A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bi...
Motivation plays a central role in human behavior and cognition but is not well captured by widely u...
BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilita...
The overall pattern of a diet (diet quality) is recognized as more important to health and chronic d...
Measurement of oxygen uptake during exercise ([Formula: see text]) is currently non-accessible to mo...
Specimen pathology findings collectively impact the long-term outcomes of robot-assisted laparoscop...
BACKGROUND: Little is known about exercise cardiac power (ECP), defined as the ratio of directly mea...
One of the most interesting and everyday natural phenomenon is the formation of different patterns a...
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
PURPOSE: To evaluate the effectiveness of the robotic-assisted exercise with virtual gaming on total...
Numerous societal trends are compelling a transition from inpatient to outpatient venues of care for...
Ischemic stroke remains one of the most debilitating diseases and is the fifth leading cause of dea...
Background The global trend of obesity and diabetes is considerable. Recently, the early diagnosis a...
OBJECTIVE: Photoplethysmography (PPG) monitoring has been implemented in many portable and wearable ...
BACKGROUND: Low cardiorespiratory fitness is an independent predictor of all-cause and cardiovascula...
The ActiGraph has a high ability to measure physical activity; however, it lacks an accurate posture...