Prevention

Design and Validation of a Lower-Limb Haptic Rehabilitation Robot.

Present robots for investigating lower-limb motor control and rehabilitation focus on gait training. An alternative approach is to focus on restoring precursor abilities such as motor adaptation and volitional movement, as is common in upper-limb robotic therapy. Here we describe NOTTABIKE, a one degree-of-freedom rehabilitation robot designed to probe and promote these underlying capabilities. A ...

Movement strategy and EMG activities of the upper extremity at assisted reaching exercise with a 7 DOF collaborative robot.

Recovering of upper extremity functions is important for stroke patients to perform various tasks in daily life. For better rehabilitation outcomes and accurate measurement, robot assisted exercises have been developed. However, there are limited number of studies related to arm muscles activities corresponding to task complexity. We conducted a preliminary case study on strategy and activities of...

The right to refuse diagnostics and treatment planning by artificial intelligence.

In an analysis of artificially intelligent systems for medical diagnostics and treatment planning we argue that patients should be able to exercise a ...

[Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].

The rapid development of computer technologies brings us great changes in daily life and work. Artificial intelligence is a branch of computer science...

[A Wearable System for Cervical Spondylosis Prevention Based on Artificial Intelligence].

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...

Feasibility of supplemental robot-assisted knee flexion exercise following total knee arthroplasty.

BACKGROUND: The Hybrid Assistive Limb (HAL) is a robotic exoskeleton designed to support impaired limbs.

[Robotic recovery of walking function in patients in the early recovery period of stroke].

OBJECTIVE: To compare the efficacy of walking function recovery in patients in the early recovery period of ischemic stroke (IS) using an exoskeleton ...

Potassium selenocyanoacetate reduces the blood triacylglycerol and atherosclerotic plaques in high-fat-dieted mice.

BACKGROUND: Controlling blood lipid levels at the early stage of cardiovascular disease is a major focus of global disease prevention studies on ather...

Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss.

Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight managemen...

Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.

OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available...

Enhancing Precision in Gesture Detection for Hand Recovery After Injury Using Leap Motion and Machine Learning.

This paper presents an improved solution for detecting gestures with a better precision using the Leap Motion sensor and Machine Learning support. A n...

Realtime Indoor Workout Analysis Using Machine Learning & Computer Vision.

These days there are thousands of workout videos available on the internet. Samsung Health [1] provides a dedicated section called programs containing...

Feasibility Study of Deep Neural Network for Heart Rate Estimation from Wearable Photoplethysmography and Acceleration Signals.

Heart rate (HR) estimation using wearable reflectance-type photoplethysmographic (PPG) signals is challenging due to low signal-to-noise ratio (SNR). ...

Short-term Effects of Robot-Resistance Exercises on Muscle Strength and Activations: Types of Muscle Contraction and Speed of Contraction.

We developed the isokinetic exercise robot for single joint muscle training. The purpose of this study was to investigate the effects of contraction t...

Investigation of Fatigue Using Different EMG Features.

Rehabilitative exercise for people suffering from upper limb impairments has the potential to improve their neuro-plasticity due to repetitive trainin...

Feasibility study: Towards Estimation of Fatigue Level in Robot-Assisted Exercise for Cardiac Rehabilitation.

Socially Assistive Robotics (SAR) has shown to be an important tool to assist patients in physical rehabilitation. SAR is used to provide feedback abo...

Method for Muscle Tone Monitoring During Robot-Assisted Therapy of Hand Function: A Proof of Concept.

Robot-assisted rehabilitation of hand function is becoming an established approach to complement conventional therapy after stroke, particularly in vi...

Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.

The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion...

[Effects on physical performance and cognitive functioning of community-dwelling older adults following an exercise program with humanoid robots: A preliminary trial].

Artificial Neural Networks Help to Better Understand the Interplay Between Cognition, Mediterranean Diet, and Physical Performance: Clues from TRELONG Study.

BACKGROUND: Nutrition plays an important role in the aging process. Adherence to the Mediterranean diet (MedDiet) has been shown to be associated with...