AIMC Topic: Heart Rate
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Deep Learning-Based Motion Correction in Projection Domain for Coronary Computed Tomography Angiography: A Clinical Evaluation.
Journal of computer assisted tomography
Jul 22, 2023
OBJECTIVE: This study aimed to evaluate the clinical performance of a deep learning-based motion correction algorithm (MCA) in projection domain for coronary computed tomography angiography (CCTA).
Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network.
Preventive medicine
Jul 20, 2023
In order to make the teaching and training of aerobics more standardized, it is necessary to use scientific means to detect and monitor the movement standardization in teaching and training and the change of human heart rate in the training process, ...
AI-designed NMR spectroscopy RF pulses for fast acquisition at high and ultra-high magnetic fields.
Nature communications
Jul 12, 2023
Nuclear magnetic resonance (NMR) spectroscopy is a powerful high-resolution tool for characterizing biomacromolecular structure, dynamics, and interactions. However, the lengthy longitudinal relaxation of the nuclear spins significantly extends the t...
Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network.
Scientific reports
Jul 7, 2023
Timely detection of anomalies and automatic interpretation of an electrocardiogram (ECG) play a crucial role in many healthcare applications, such as patient monitoring and post treatments. Beat-wise segmentation is one of the essential steps in ensu...
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data.
IEEE transactions on neural networks and learning systems
Jul 6, 2023
Fiber-optic distributed acoustic sensing (DAS) is an emerging technology for vibration measurements with numerous applications in seismic signal analysis, including microseismicity detection, ambient noise tomography, earthquake source characterizati...
An end-end arrhythmia diagnosis model based on deep learning neural network with multi-scale feature extraction.
Physical and engineering sciences in medicine
Jul 1, 2023
This study presents an innovative end-to-end deep learning arrhythmia diagnosis model that aims to address the problems in arrhythmia diagnosis. The model performs pre-processing of the heartbeat signal by automatically and efficiently extracting tim...
Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs.
Scientific reports
Jun 20, 2023
Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most existing deterioration prediction models require a large number of clinical information, typically collected in hospital settings, such as medical images o...
Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time.
Sensors (Basel, Switzerland)
May 30, 2023
With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health ...
Computer Science meets Vascular Surgery: Keeping a pulse on artificial intelligence.
Seminars in vascular surgery
May 27, 2023
Artificial intelligence (AI)-based technologies have garnered interest across a range of disciplines in the past several years, with an even more recent interest in various health care fields, including Vascular Surgery. AI offers a unique ability to...
Classification of health deterioration by geometric invariants.
Computer methods and programs in biomedicine
May 26, 2023
BACKGROUND AND OBJECTIVES: Prediction of patient deterioration is essential in medical care, and its automation may reduce the risk of patient death. The precise monitoring of a patient's medical state requires devices placed on the body, which may c...
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