Latest AI and machine learning research in prevention for healthcare professionals.
Human activity recognition has been widely used in healthcare applications such as elderly monitoring, exercise supervision, and rehabilitation monitoring. Compared with other approaches, sensor-based wearable human activity recognition is less affected by environmental noise and therefore is promising in providing higher recognition accuracy. However, one of the major issues of existing wearable ...
BACKGROUND: The most prominent characteristics of hemiparetic cerebral palsy (hCP) children are structural and functional asymmetries. These children have low walking speeds, endurance and poor balance. The robotic walking devices repeat and experience symmetrical stepping at the corresponding speed and angles of the lower extremities. RESEARCH QUESTION 1: Are robotic walking devices effective in ...
First and second ventilatory thresholds (VT and VT) represent the boundaries of the moderate-heavy and heavy-severe exercise intensity. Currently, VTs...
Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment of many disorders including hypertension, obesity...
The main aim of the present study was to show the effect of bovineLactoferrin (bLF), an 80 kD iron-binding glycoprotein, its application on antio...
In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exercise recognition using sensor data. It consists of...
We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, exercise intensity and some anthropometric element...
Activity recognition using off-the-shelf smartwatches is an important problem in humanactivity recognition. In this paper, we present an end-to-end de...
BACKGROUND: The authors used cluster analysis of data from cardiovascular domains associated with exercise intolerance to help define prognostic pheno...
The muscles of the lower limbs directly influence leg motion, therefore, lower limb muscle exercise is important for persons living with lower limb di...
BACKGROUND: Fear of exercise related hypoglycemia is a major reason why people with type 1 diabetes (T1D) do not exercise. There is no validated predi...
Exercise-associated hyponatremia (EAH) refers to below-normal serum sodium concentrations [Na+] that develop during exercise. The pathogenesis of EAH ...
Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (...
BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g., during a football or traffic accident. Robot-as...
Several studies have been conducted on liver damage caused by cadmium, but few on the protective effects of Ganoderma triterpenoids against liver dama...
Robot-assisted bilateral training is being developed as a new rehabilitation approach for stroke patients. However, there is still a lack of understan...
BACKGROUND: American Indians (AIs) have significantly higher rates of diet-related chronic diseases than other racial/ethnic groups, and many live in ...
Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in the host energy metabolism through the regulation of...
BACKGROUND: The hybrid assistive limb (HAL) is the world's first cyborg-type robot suit that provides motion assistance to physically challenged patie...
OBJECTIVES: Strenuous exercise can impair athletic performance due to muscular inflammation and oxidative stress. Antioxidants such as cocoa flavanols...