AIMC Topic: Heart Rate

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Convolutional neural network is a good technique for sleep staging based on HRV: A comparative analysis.

Neuroscience letters Feb 25, 2022
The fluctuation of heart rate is regulated by autonomic nervous system. In human sleep, the autonomic nervous system plays a leading role. Therefore, we can use heart-rate variability (HRV) to stage the sleep process. Based on two independent public ...
Humans Neural Networks, Computer Heart Rate Sleep Sleep Stages Sleep, REM
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Normalization of photoplethysmography using deep neural networks for individual and group comparison.

Scientific reports Feb 24, 2022
Photoplethysmography (PPG) is easy to measure and provides important parameters related to heart rate and arrhythmia. However, automated PPG methods have not been developed because of their susceptibility to motion artifacts and differences in wavefo...
Photoplethysmography Signal Processing, Computer-Assisted Motion Heart Rate Female Adult Male Humans Neural Networks, Computer
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Weak Supervision for Affordable Modeling of Electrocardiogram Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Analysing electrocardiograms (ECGs) is an inexpensive and non-invasive, yet powerful way to diagnose heart disease. ECG studies using Machine Learning to automatically detect abnormal heartbeats so far depend on large, manually annotated datasets. Wh...
Electrocardiography Humans Heart Diseases Machine Learning Heart Rate
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A Predictive Analysis of Heart Rates Using Machine Learning Techniques.

International journal of environmental research and public health Feb 19, 2022
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in the world today. Therefore, it is critical to monitor heart health by identifying the deviation in the heart rate very early, which makes it easier to dete...
Heart Rate Artificial Intelligence Machine Learning Wearable Electronic Devices Humans Neural Networks, Computer
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Early heart rate variability evaluation enables to predict ICU patients' outcome.

Scientific reports Feb 15, 2022
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activity, and a relation between HRV and outcome has been proposed in various types of patients. We attempted to evaluate the best determinants of such var...
Humans Neural Networks, Computer Intensive Care Units Female Aged Machine Learning Prospective Studies Prognosis Hospital Mortality Electrocardiography Oxygen Saturation Heart Rate Respiratory Function Tests Patient Admission Male Respiration, Artificial Middle Aged Severity of Illness Index Length of Stay
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Energy Expenditure Estimation of Tabata by Combining Acceleration and Heart Rate.

Frontiers in public health Feb 7, 2022
Tabata training plays an important role in health promotion. Effective monitoring of exercise energy expenditure is an important basis for exercisers to adjust their physical activities to achieve exercise goals. The input of acceleration combined wi...
Energy Metabolism Heart Rate Acceleration Humans Adult Neural Networks, Computer Exercise Young Adult Adolescent
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End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning.

IEEE journal of biomedical and health informatics Feb 4, 2022
OBJECTIVE: Mean intracranial pressure (ICP) is commonly used in the management of patients with intracranial pathologies. However, the shape of the ICP signal over a single cardiac cycle, called ICP pulse waveform, also contains information on the st...
Intracranial Pressure Blood Pressure Heart Rate Humans Neural Networks, Computer Deep Learning
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Beyond the : Validation of an Artificial Intelligence Breast Cancer Risk Assessment Model Across Diverse International Cohorts.

AJR. American journal of roentgenology Feb 2, 2022
Humans Risk Assessment Artificial Intelligence Mammography Female Heart Rate Breast Neoplasms
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Application of photoplethysmography signals for healthcare systems: An in-depth review.

Computer methods and programs in biomedicine Feb 1, 2022
BACKGROUND AND OBJECTIVES: Photoplethysmography (PPG) is a device that measures the amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn, translate into various measurements such as the variation in blood flow volume, ...
Blood Pressure Signal Processing, Computer-Assisted Heart Rate Machine Learning Delivery of Health Care Photoplethysmography
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Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

Circulation. Arrhythmia and electrophysiology Jan 28, 2022
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while ...
Recurrence Atrial Function, Left Models, Cardiovascular Patient-Specific Modeling Atrial Remodeling Humans Atrial Fibrillation Machine Learning Heart Rate Catheter Ablation Electrocardiography, Ambulatory Risk Factors Treatment Outcome Fibrosis Risk Assessment Magnetic Resonance Imaging Time Factors Action Potentials
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