AIMC Topic: Heart Rate
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Infants' psychophysiological responses to eye contact with a human and with a humanoid robot.
Biological psychology
Aug 17, 2024
Eye contact with a human and with a humanoid robot elicits attention- and affect-related psychophysiological responses. However, these responses have mostly been studied in adults, leaving their developmental origin poorly understood. In this study, ...
The influence of mental calculations on brain regions and heart rates.
Scientific reports
Aug 14, 2024
Performing mathematical calculations is a cognitive activity that can affect biological signals. This study aims to examine the changes in electroencephalogram (EEG) and electrocardiogram (ECG) signals of 36 healthy subjects during the performance of...
Automatic detection of cardiac conditions from photos of electrocardiogram captured by smartphones.
Heart (British Cardiac Society)
Aug 14, 2024
BACKGROUND: Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit i...
Artificial intelligence-driven electrocardiography: Innovations in hypertrophic cardiomyopathy management.
Trends in cardiovascular medicine
Aug 13, 2024
Hypertrophic Cardiomyopathy (HCM) presents a complex diagnostic and prognostic challenge due to its heterogeneous phenotype and clinical course. Artificial Intelligence (AI) and Machine Learning (ML) techniques hold promise in transforming the role o...
Deep Learning
Electrocardiography
Action Potentials
Predictive Value of Tests
Signal Processing, Computer-Assisted
Heart Rate
Cardiomyopathy, Hypertrophic
Death, Sudden, Cardiac
Clinical Decision-Making
Risk Factors
Risk Assessment
Diagnosis, Computer-Assisted
Humans
Artificial Intelligence
Prognosis
Feedback control of heart rate during robotics-assisted tilt table exercise in patients after stroke: a clinical feasibility study.
Journal of neuroengineering and rehabilitation
Aug 12, 2024
BACKGROUND: Patients with neurological disorders including stroke use rehabilitation to improve cognitive abilities, to regain motor function and to reduce the risk of further complications. Robotics-assisted tilt table technology has been developed ...
Machine learning prediction of pulmonary oxygen uptake from muscle oxygen in cycling.
Journal of sports sciences
Aug 7, 2024
The purpose of this study was to test whether a machine learning model can accurately predict VO across different exercise intensities by combining muscle oxygen (MO) with heart rate (HR). Twenty young highly trained athletes performed the following ...
Machine learning-enabled detection of attention-deficit/hyperactivity disorder with multimodal physiological data: a case-control study.
BMC psychiatry
Aug 5, 2024
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental psychiatric condition that typically emerges during childhood but often persists into adulthood, significantly impacting individuals' functioning, relati...
An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation.
Journal of cardiovascular electrophysiology
Jul 25, 2024
OBJECTIVES: We aimed to construct an artificial intelligence-enabled electrocardiogram (ECG) algorithm that can accurately predict the presence of left atrial low-voltage areas (LVAs) in patients with persistent atrial fibrillation.
Smart Sleep Monitoring: Sparse Sensor-Based Spatiotemporal CNN for Sleep Posture Detection.
Sensors (Basel, Switzerland)
Jul 25, 2024
Sleep quality is heavily influenced by sleep posture, with research indicating that a supine posture can worsen obstructive sleep apnea (OSA) while lateral postures promote better sleep. For patients confined to beds, regular changes in posture are c...
Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model.
Computers in biology and medicine
Jul 18, 2024
BACKGROUND: Sleep apnea (SLA) is a commonly encountered sleep disorder characterized by repetitive cessation of respiration while sleeping. In the past few years, researchers have focused on developing less complex and more cost-effective diagnostic ...
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