AIMC Topic: Heart Rate

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ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors.

IEEE transactions on biomedical circuits and systems May 9, 2022
In this paper, we propose a lightweight neural network for real-time electrocardiogram (ECG) anomaly detection and system level power reduction of wearable Internet of Things (IoT) Edge sensors. The proposed network utilizes a novel hybrid architectu...
Arrhythmias, Cardiac Heart Rate Algorithms Electrocardiography Humans Neural Networks, Computer
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Research on recognition and classification of pulse signal features based on EPNCC.

Scientific reports Apr 25, 2022
To rapidly obtain the complete characterization information of pulse signals and to verify the sensitivity and validity of pulse signals in the clinical diagnosis of related diseases. In this paper, an improved PNCC method is proposed as a supplement...
Neural Networks, Computer Electrocardiography Heart Rate Research Design Databases, Factual
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AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.

Sensors (Basel, Switzerland) Mar 30, 2022
The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical conditions of low circulating blood volume such as hemorrhage. The purpose of this study was to com...
Humans Hemorrhage Artificial Intelligence Blood Pressure Hypovolemia Machine Learning Heart Rate Algorithms Hemodynamics Blood Volume
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Multimodal driver state modeling through unsupervised learning.

Accident; analysis and prevention Mar 24, 2022
Naturalistic driving data (NDD) can help understand drivers' reactions to each driving scenario and provide personalized context to driving behavior. However, NDD requires a high amount of manual labor to label certain driver's state and behavioral p...
Humans Accidents, Traffic Heart Rate Unsupervised Machine Learning Bayes Theorem Automobile Driving
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Heart rate variability for medical decision support systems: A review.

Computers in biology and medicine Mar 23, 2022
Heart Rate Variability (HRV) is a good predictor of human health because the heart rhythm is modulated by a wide range of physiological processes. This statement embodies both challenges to and opportunities for HRV analysis. Opportunities arise from...
Heart Rate Electrocardiography Signal Processing, Computer-Assisted Artificial Intelligence Humans
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Deep convolutional neural network-based signal quality assessment for photoplethysmogram.

Computers in biology and medicine Mar 22, 2022
Quality assessment of bio-signals is important to prevent clinical misdiagnosis. With the introduction of mobile and wearable health care, it is becoming increasingly important to distinguish available signals from noise. The goal of this study was t...
Bayes Theorem Heart Rate Big Data Photoplethysmography Neural Networks, Computer
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Robust PVC Identification by Fusing Expert System and Deep Learning.

Biosensors Mar 22, 2022
Premature ventricular contraction (PVC) is one of the common ventricular arrhythmias, which may cause stroke or sudden cardiac death. Automatic long-term electrocardiogram (ECG) analysis algorithms could provide diagnosis suggestion and even early wa...
Deep Learning Ventricular Premature Complexes Electrocardiography Humans Algorithms Signal Processing, Computer-Assisted Heart Rate Expert Systems
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Intelligent monitoring of noxious stimulation during anaesthesia based on heart rate variability analysis.

Computers in biology and medicine Mar 18, 2022
Research based on medical signals has received significant attention in recent years. If the patients' states can be accurately monitored based on medical signals, it greatly benefits both doctors and patients. This paper proposes a method to extract...
Autonomic Nervous System Heart Rate Anesthesia Humans Neural Networks, Computer Monitoring, Physiologic
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Verhulst map measures: new biomarkers for heart rate classification.

Physical and engineering sciences in medicine Mar 18, 2022
Recording, monitoring, and analyzing biological signals has received significant attention in medicine. A fundamental phase for understanding a bio-system under various conditions is to process the corresponding bio-signal appropriately. To this effe...
Nonlinear Dynamics Bayes Theorem Biomarkers Heart Rate Support Vector Machine
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Application of Esmolol to Control Heart Rate and Artificial Intelligence Reconstruction Analysis for Rapid Zero-Cooperation Emergency Coronary CTA.

Journal of healthcare engineering Feb 26, 2022
OBJECTIVE: To investigate a rapid and effective method for the examination of coronary CTA in emergency patients requiring coronary CTA examination, who have faster heart rate (≧80 bpm) or cannot cooperate with the examination due to the inability of...
Heart Rate Humans Artificial Intelligence Propanolamines Coronary Angiography
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