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Showing 1282-1302 of 7,453 articles

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...

Oct 2019 PMID: 31246255

Beyond therapists: Technology-aided physical MS rehabilitation delivery.

In the last decade, rehabilitation technology has been developed, investigated, and entered speciali...

Sep 2019 PMID: 31469352

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 Le...

Jul 2019 PMID: 31349332

Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System.

Development of noninvasive brain-machine interface (BMI) systems based on electroencephalography (EE...

Jul 2019 PMID: 31947110

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 stu...

Jul 2019 PMID: 31947052

Classification of Rehabilitation Participation in Elderly In-patients with Mild Cognitive Impairments Utilizing Physiological Responses.

This study investigated the possibility of utilising physiological responses and machine learning te...

Jul 2019 PMID: 31947024

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 ch...

Jul 2019 PMID: 31946663

Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices.

Physical activity (PA) is widely recognized as one of the important elements of personal healthy lif...

Jul 2019 PMID: 31946403

Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks.

Human Activity Recognition (HAR) is a growing field of research in biomedical engineering and it has...

Jul 2019 PMID: 31946402

Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning.

Sleep apnea is a common chronic respiratory disorder which occurs due to the repetitive complete or ...

Jul 2019 PMID: 31946202

Realtime Indoor Workout Analysis Using Machine Learning & Computer Vision.

These days there are thousands of workout videos available on the internet. Samsung Health [1] provi...

Jul 2019 PMID: 31946164

[Brain-Machine Interface and Neuro-Rehabilitation].

Brain-Machine Interface (BMI) is a technology that enables users to control computers/machines intui...

Jul 2019 PMID: 31289253

An equivariant Bayesian convolutional network predicts recombination hotspots and accurately resolves binding motifs.

MOTIVATION: Convolutional neural networks (CNNs) have been tremendously successful in many contexts,...

Jul 2019 PMID: 30481258

Semi-supervised learning of Hidden Markov Models for biological sequence analysis.

MOTIVATION: Hidden Markov Models (HMMs) are probabilistic models widely used in applications in comp...

Jul 2019 PMID: 30445435

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 con...

Jun 2019 PMID: 31374753

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 r...

Jun 2019 PMID: 31374746

Virtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted Training.

Motivation plays a crucial role in motor learning and neurorehabilitation. Participants' motivation ...

Jun 2019 PMID: 31374722

Primary Care

Browse Categories

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

Beyond therapists: Technology-aided physical MS rehabilitation delivery.

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

Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System.

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

Classification of Rehabilitation Participation in Elderly In-patients with Mild Cognitive Impairments Utilizing Physiological Responses.

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

Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices.

Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks.

Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning.

Realtime Indoor Workout Analysis Using Machine Learning & Computer Vision.

[Brain-Machine Interface and Neuro-Rehabilitation].

An equivariant Bayesian convolutional network predicts recombination hotspots and accurately resolves binding motifs.

Semi-supervised learning of Hidden Markov Models for biological sequence analysis.

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

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

Virtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted Training.

Multi-purpose Robotic Training Strategies for Neurorehabilitation with Model Predictive Controllers.

Investigation of Fatigue Using Different EMG Features.

Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.

Brain activity during reciprocal social interaction investigated using conversational robots as control condition.

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