Latest AI and machine learning research in prevention for healthcare professionals.
Rhabdomyolysis is a potentially fatal disease caused by trauma, infections, and toxins. Rhabdomyolysis has not been reported in Chinese civil aircrew, but in our case report a male civil copilot contracted rhabdomyolysis after excessive exercise, showing potential for morbidity in pilots. After excessive exercise, a 29-yr-old male civil aviation copilot complained of serious myalgia and weakness ...
The objective of this study was to evaluate the effect of Foeniculum vulgare (FV) on fertility of mice and on serum sex hormone values of rats and rabbits. We used powdered form of Foeniculum vulgare seed and added it to food of mice, rats and rabbits in 2% and 4% ratio which was provided ad libitum throughout study period. Fertility study on mice was conducted for a period of nine months and 3 ge...
Present robots for investigating lower-limb motor control and rehabilitation focus on gait training. An alternative approach is to focus on restoring ...
Recovering of upper extremity functions is important for stroke patients to perform various tasks in daily life. For better rehabilitation outcomes an...
In an analysis of artificially intelligent systems for medical diagnostics and treatment planning we argue that patients should be able to exercise a ...
The rapid development of computer technologies brings us great changes in daily life and work. Artificial intelligence is a branch of computer science...
Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has increased year by year. In view of the fact long-term f...
BACKGROUND: The Hybrid Assistive Limb (HAL) is a robotic exoskeleton designed to support impaired limbs.
OBJECTIVE: To compare the efficacy of walking function recovery in patients in the early recovery period of ischemic stroke (IS) using an exoskeleton ...
BACKGROUND: Controlling blood lipid levels at the early stage of cardiovascular disease is a major focus of global disease prevention studies on ather...
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight managemen...
OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available...
This paper presents an improved solution for detecting gestures with a better precision using the Leap Motion sensor and Machine Learning support. A n...
These days there are thousands of workout videos available on the internet. Samsung Health [1] provides a dedicated section called programs containing...
Heart rate (HR) estimation using wearable reflectance-type photoplethysmographic (PPG) signals is challenging due to low signal-to-noise ratio (SNR). ...
We developed the isokinetic exercise robot for single joint muscle training. The purpose of this study was to investigate the effects of contraction t...
Rehabilitative exercise for people suffering from upper limb impairments has the potential to improve their neuro-plasticity due to repetitive trainin...
Socially Assistive Robotics (SAR) has shown to be an important tool to assist patients in physical rehabilitation. SAR is used to provide feedback abo...
Robot-assisted rehabilitation of hand function is becoming an established approach to complement conventional therapy after stroke, particularly in vi...
The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion...