Oxytocin Modulates Respiratory Heart Rate Variability Through a Hypothalamus–Brainstem–Heart Neuronal Pathway

Medicine, Respiratory System, Basic Medical Sciences, Psychiatry, Endocrinology, Neurology, Cardiovascular System, Life Sciences, Biochemistry,
oxytocin   respiratory heart rate variability   hypothalamus-brainstem pathway   cardiac regulation   vagus nerve   stress recovery   neural modulation  

Latest Nature Neuroscience Research Report: A Novel Central Mechanism of Oxytocin in Regulating Respiratory Heart Rate Variability 1. Research Background and Disciplinary Foundation Heart rate variation is an important indicator reflecting both physiological and psychological states in humans, finely regulated by the autonomic nervous system to mai...

Analysis of Learned Feature Similarities to Diagnostic Criteria in Deep Learning-Based 12-Lead ECG Classification

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System,
deep learning   ECG   explainable AI   feature attribution   atrial fibrillation   left bundle branch block   biosignal processing  

Interpretability Research of Deep Learning in Automated ECG Diagnosis —— Progress Overview Based on Explainable AI 1. Academic Background and Problem Statement Electrocardiogram (ECG) is an important physiological signal acquisition method for clinical diagnosis of heart diseases, with a history of over a hundred years. In recent years, with the ra...

Deep Representation Learning with Sample Generation and Augmented Attention Module for Imbalanced ECG Classification

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Cardiovascular System, Life Sciences, Bioengineering,
arrhythmia detection   beat classification   imbalanced learning   deep representation learning   remote health monitoring   augmented attention module   data resampling  

Innovative Application of Deep Representation Learning in Imbalanced ECG Classification —— Academic News Report on “Deep Representation Learning with Sample Generation and Augmented Attention Module for Imbalanced ECG Classification” 1. Academic Background and Research Motivation Cardiac health monitoring holds a pivotal place in modern healthcare,...

Estimation and Conformity Evaluation of Multi-Class Counterfactual Explanations for Chronic Disease Prevention

Information Science, Artificial Intelligence, Medicine, Respiratory System, Environmental and Public Health, Cardiovascular System,
chronic disease prevention   counterfactual explanations   conformal predictions   explainable AI   cardiovascular risk   feature selection  

1. Academic Background and Research Motivation In recent years, Artificial Intelligence (AI) has made tremendous progress in healthcare. From initial uses in assisted diagnosis and risk prediction to the recommendation of personalized intervention plans, AI has become a critical tool for improving the quality and efficiency of medical services. How...

In Silico Modeling and Validation of the Effect of Calcium-Activated Potassium Current on Ventricular Repolarization in Failing Myocytes

Medicine, Basic Medical Sciences, Cardiovascular System, Life Sciences, Biochemistry, Bioengineering, Biophysics,
calcium-activated potassium channels   heart failure   ventricular repolarization   electrophysiological modeling   pharmacological modulation   arrhythmia   atrial fibrillation  

The Effect of Calcium-Activated Potassium Channels (SK Channels) on Repolarization in Failing Ventricular Myocytes—A Computational Modeling Study Research Background and Academic Significance Heart failure (HF) is a severe and prevalent cardiac disease, characterized by a comprehensive deterioration of the heart’s electrophysiological and contracti...

Generative Reconstruction of Multimodal Cardiac Waveforms from a Single Vibrational Cardiography Sensor

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System, Life Sciences, Bioengineering,
cardiac monitoring   generative adversarial network   multimodal waveform   wearable sensor   vibrational cardiography   electrocardiography   non-invasive blood pressure  

Multimodal Cardiovascular Waveform Generation from a Single Vibrational Cardiography Sensor Background Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality worldwide, affecting hundreds of millions of patients each year and imposing a tremendous burden on global healthcare systems. According to literature, billions o...