AIMC Topic: Heart Rate

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Robotic Locomotor Training Leads to Cardiovascular Changes in Individuals With Incomplete Spinal Cord Injury Over a 24-Week Rehabilitation Period: A Randomized Controlled Pilot Study.

Archives of physical medicine and rehabilitation Apr 9, 2021
OBJECTIVE: To describe the effect of robotic locomotor training (RLT) and activity-based training (ABT) on cardiovascular indices during various physiological positions in individuals with spinal cord injury.
Adult Male Middle Aged Pilot Projects Humans Spinal Cord Injuries Female Robotics Patient Positioning Blood Pressure Exoskeleton Device Exercise Therapy Walk Test Heart Rate
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Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals.

Sensors (Basel, Switzerland) Mar 30, 2021
Mental stress can lead to traffic accidents by reducing a driver's concentration or increasing fatigue while driving. In recent years, demand for methods to detect drivers' stress in advance to prevent dangerous situations increased. Thus, we propose...
Heart Rate Automobile Driving Galvanic Skin Response Neural Networks, Computer Accidents, Traffic
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Genetic-fuzzy logic model for a non-invasive measurement of a stroke volume.

Computer methods and programs in biomedicine Mar 12, 2021
BACKGROUND: Despite the importance of stroke volume readings in understanding the work of the cardiovascular system in patients, its routine daily measurement outside of a hospital in the absence of special equipment presents a problem for a comprehe...
Fuzzy Logic Blood Pressure Heart Rate Stroke Volume Middle Aged Hemodynamics Adolescent Humans Female Young Adult Adult Male
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Machine Learning Algorithms for Prediction of Permanent Pacemaker Implantation After Transcatheter Aortic Valve Replacement.

Circulation. Arrhythmia and electrophysiology Mar 9, 2021
Humans Risk Factors Risk Assessment Treatment Outcome Action Potentials Machine Learning Decision Support Techniques Prospective Studies Retrospective Studies Transcatheter Aortic Valve Replacement Aortic Valve Pacemaker, Artificial Predictive Value of Tests Atrioventricular Block Cardiac Pacing, Artificial Heart Rate
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Heart rate variability-derived features based on deep neural network for distinguishing different anaesthesia states.

BMC anesthesiology Mar 2, 2021
BACKGROUND: Estimating the depth of anaesthesia (DoA) is critical in modern anaesthetic practice. Multiple DoA monitors based on electroencephalograms (EEGs) have been widely used for DoA monitoring; however, these monitors may be inaccurate under ce...
Heart Rate Anesthesia Humans Middle Aged Neural Networks, Computer Electrocardiography Female Support Vector Machine Reproducibility of Results Decision Trees Male
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Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.

Circulation. Arrhythmia and electrophysiology Feb 12, 2021
[Figure: see text].
Risk Assessment Treatment Outcome Pulmonary Veins Action Potentials Humans Predictive Value of Tests Machine Learning Female Catheter Ablation Retrospective Studies Risk Factors Radiographic Image Interpretation, Computer-Assisted Recurrence Male Tomography, X-Ray Computed Atrial Fibrillation Atrial Function, Left Middle Aged Heart Atria Fractals Heart Rate
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Human and Human-Interfaced AI Interactions: Modulation of Human Male Autonomic Nervous System via Pupil Mimicry.

Sensors (Basel, Switzerland) Feb 3, 2021
Pupillary alterations in virtual humans induce neurophysiological responses within an observer. Technological advances have enabled rapid developments in artificial intelligence (AI), from verbal systems, to visual AI interfaces with the ability to e...
Heart Rate Pupil Autonomic Nervous System Young Adult Adult Male Emotions Humans Artificial Intelligence Female
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Deep learning framework for subject-independent emotion detection using wireless signals.

PloS one Feb 3, 2021
Emotion states recognition using wireless signals is an emerging area of research that has an impact on neuroscientific studies of human behaviour and well-being monitoring. Currently, standoff emotion detection is mostly reliant on the analysis of f...
Heart Rate Adult Humans Respiration Deep Learning Neural Networks, Computer Wireless Technology Electrocardiography Young Adult Radio Waves Emotions
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Detection of arterial pressure waveform error using machine learning trained algorithms.

Journal of clinical monitoring and computing Feb 1, 2021
In critically ill and high-risk surgical room patients, an invasive arterial catheter is often inserted to continuously measure arterial pressure (AP). The arterial waveform pressure measurement, however, may be compromised by damping or inappropriat...
Humans Machine Learning Algorithms Aged Adult Middle Aged Heart Rate Arterial Pressure Arteries
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Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device.

Circulation Feb 1, 2021
BACKGROUND: Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetics including congenital long QT syndrome, and/or systemic diseases including SARS-CoV-2-mediated coronavirus disease 2019 (COVID-19), can predispose to...
Heart Diseases Heart Rate Smartphone Electrocardiography Area Under Curve Long QT Syndrome Female SARS-CoV-2 Aged Adult Humans Sensitivity and Specificity Artificial Intelligence Male COVID-19 Middle Aged Prospective Studies ROC Curve
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