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Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Child and parent perceptions of acceptability and therapeutic value of a socially assistive robot used during pediatric rehabilitation.

Socially assistive robots are emerging as a method of supporting the rehabilitation of children wit...

Recomputation of the Dense Layers for Performance Improvement of DCNN.

Gradient descent optimization of learning has become a paradigm for training deep convolutional neur...

Identifying predictors of within-person variance in MRI-based brain volume estimates.

Adequate reliability of measurement is a precondition for investigating individual differences and a...

A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods.

In this paper, we present a new multi-objective optimization approach for segmentation of Magnetic R...

Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks.

OBJECTIVE: Atherosclerosis (AS) is the main pathological basis of ischemic cardio-cerebrovascular di...

Development of a robotic walker for individuals with cerebral palsy.

This study describes the first use of a robotic walker in youth and young adults with cerebral pals...

Predicting childhood obesity using electronic health records and publicly available data.

BACKGROUND: Because of the strong link between childhood obesity and adulthood obesity comorbidities...

Duplicate portion sampling gives the most accurate iron intake estimate: Implications for iron status of female students.

Iron deficiency (ID) is one of the most common nutritional problems in the developing world, affecti...

Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network.

Although many real-time neural decoding algorithms have been proposed for brain-machine interface (B...

Machine learning-assisted directed protein evolution with combinatorial libraries.

To reduce experimental effort associated with directed protein evolution and to explore the sequence...

TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition.

Human activity recognition has been widely used in healthcare applications such as elderly monitorin...

Effects of robotic rehabilitation on walking and balance in pediatric patients with hemiparetic cerebral palsy.

BACKGROUND: The most prominent characteristics of hemiparetic cerebral palsy (hCP) children are stru...

Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals.

Sleep is a prominent physiological activity in our daily life. Sleep apnea is the category of sleep ...

Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networks.

First and second ventilatory thresholds (VT and VT) represent the boundaries of the moderate-heavy a...

Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks.

The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming....

A motor learning therapeutic intervention for a child with cerebral palsy through a social assistive robot.

Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Thera...

Use of a robotic camera holder (FreeHand) for laparoscopic appendicectomy.

Use of a mechanical arm to hold the laparoscopic camera has many advantages. FreeHand (FreeHand Ltd...

Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation.

In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exer...

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