AIMC Topic: Heart Rate

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Cancer classification using machine learning and HRV analysis: preliminary evidence from a pilot study.

Scientific reports Nov 16, 2021
Most cancer patients exhibit autonomic dysfunction with attenuated heart rate variability (HRV) levels compared to healthy controls. This research aimed to create and evaluate a machine learning (ML) model enabling discrimination between cancer patie...
Heart Rate Pilot Projects Neoplasm Staging Machine Learning Female Male Middle Aged Neoplasms Humans Case-Control Studies
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Detecting fine and elaborate movements with piezo sensors provides non-invasive access to overlooked behavioral components.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Nov 11, 2021
Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of behavior remain out of reach of available phenotyping systems. We now report on a novel device, which consists in an open-field platform resting on hig...
Machine Learning Animals Fear Movement Grooming Mice Rats Heart Rate
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Advanced computation in cardiovascular physiology: new challenges and opportunities.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Oct 25, 2021
Recent developments in computational physiology have successfully exploited advanced signal processing and artificial intelligence tools for predicting or uncovering characteristic features of physiological and pathological states in humans. While th...
Nonlinear Dynamics Humans Artificial Intelligence Algorithms Signal Processing, Computer-Assisted Heart Rate
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Deep Learning-Based Optimal Smart Shoes Sensor Selection for Energy Expenditure and Heart Rate Estimation.

Sensors (Basel, Switzerland) Oct 25, 2021
Wearable technologies are known to improve our quality of life. Among the various wearable devices, shoes are non-intrusive, lightweight, and can be used for outdoor activities. In this study, we estimated the energy consumption and heart rate in an ...
Shoes Humans Quality of Life Deep Learning Heart Rate Energy Metabolism
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Model Construction of Using Physiological Signals to Detect Mental Health Status.

Journal of healthcare engineering Oct 20, 2021
BACKGROUND: Mental health is a direct indicator of human mental activity, and it also affects all aspects of the human body. It plays a very important role in monitoring human mental health.
Support Vector Machine Health Status Discriminant Analysis Algorithms Electrocardiography Signal Processing, Computer-Assisted Heart Rate Humans
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Classification of Arrhythmia in Heartbeat Detection Using Deep Learning.

Computational intelligence and neuroscience Oct 19, 2021
The electrocardiogram (ECG) is one of the most widely used diagnostic instruments in medicine and healthcare. Deep learning methods have shown promise in healthcare prediction challenges involving ECG data. This paper aims to apply deep learning tech...
Neural Networks, Computer Algorithms Heart Rate Deep Learning Electrocardiography Humans Arrhythmias, Cardiac
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The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition.

BMC cardiovascular disorders Oct 13, 2021
BACKGROUND: Type 1 Brugada syndrome (BrS) is a hereditary arrhythmogenic disease showing peculiar electrocardiographic (ECG) patterns, characterized by ST-segment elevation in the right precordial leads, and risk of Sudden Cardiac Death (SCD). Furthe...
Action Potentials Predictive Value of Tests Italy Diagnosis, Computer-Assisted Electrocardiography Brugada Syndrome Signal Processing, Computer-Assisted Workflow Heart Rate Prognosis Retrospective Studies Reproducibility of Results Machine Learning Gene Expression Profiling Research Design Transcriptome Prospective Studies Humans
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Cardiorespiratory and metabolic demand of the 6-minute pegboard and ring test in healthy young adults.

Journal of bodywork and movement therapies Oct 9, 2021
OBJECTIVE: To determine the cardiorespiratory and metabolic demand of the Six-Minute Pegboard and Ring Test (6PBRT) in healthy young adults and its association with maximal arm cycle ergometer test (arm CET).
Exercise Test Heart Rate Arm Health Status Dyspnea Humans Hand Strength Young Adult Oxygen Consumption
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Prediction of GABA receptor antagonist-induced convulsion in cynomolgus monkeys by combining machine learning and heart rate variability analysis.

Journal of pharmacological and toxicological methods Oct 6, 2021
Drug-induced convulsion is a severe adverse event; however, no useful biomarkers for it have been discovered. We propose a new method for predicting drug-induced convulsions in monkeys based on heart rate variability (HRV) and a machine learning tech...
Machine Learning Animals Macaca fascicularis Seizures GABA Antagonists Heart Rate
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ECG-based machine-learning algorithms for heartbeat classification.

Scientific reports Sep 21, 2021
Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and consist of several waveforms (P, QRS, and T). The duration and shape of each waveform and the distances between different peaks are used to diagnose heart disea...
Machine Learning Algorithms Electrocardiography Electroencephalography Heart Rate Humans Neural Networks, Computer
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