The authors discuss feasibility to extract additional information about electrical activity of the heart from the ECG magnitude and phase spectrum. Fifty digitized ECG fragments from the MIT-BIH Arrhythmia Database and PhysioBank ECG repository data were analyzed. It was shown that ECG phase harmonics contains valuable information about the ECG signal that can be used eventually for the development of advanced ECG analysis tools.
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Curr Cardiol Rep
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Purpose Of Review: Artificial Intelligence (AI) technology will significantly alter critical care cardiology, from our understanding of diseases to the way in which we communicate with patients and colleagues. We summarize the potential applications of AI in the cardiac intensive care unit (CICU) by reviewing current evidence, future developments and possible challenges.
Recent Findings: Machine Learning (ML) methods have been leveraged to improve interpretation and discover novel uses for diagnostic tests such as the ECG and echocardiograms.
J Vis Exp
January 2025
School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine;
Electroacupuncture (EA) is one of the most commonly used methods in acupuncture and has a good effect on pain, depression, sensory movement disorders, and other diseases. The effectiveness of EA is influenced by many factors, such as the accuracy of acupoint selection, the duration and course of EA treatment, and EA parameters. However, it has rarely been discussed whether the positive and negative electrodes of the EA instrument with acupoints at different locations and distances have an effect on the curative effect.
View Article and Find Full Text PDFJ Vet Emerg Crit Care (San Antonio)
January 2025
Center for Interdisciplinary Statistical Education and Research, Washington State University, Pullman, Washington, USA.
Objective: To evaluate the effect of rescuer team size on objective skill measures of basic life support (BLS) and advanced life support (ALS) using high-fidelity canine CPR simulation.
Design: Prospective, experimental study.
Setting: Veterinary clinical simulation center.
Background And Aims: Bendopnea is a symptom found in patients with heart failure (HF) defined as shortness of breath when bending forward. The present study examined the correlation between bendopnea with other cardiac symptoms, echocardiographic findings, and cardiac function parameters.
Methods: This was a single-center prospective cross-sectional study of patients diagnosed with systolic HF.
Biophys Rev (Melville)
March 2025
Department of Electrical and Electronic Engineering, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh.
Atrial fibrillation (AF) is recognized as a developing global epidemic responsible for a significant burden of morbidity and mortality. To counter this public health crisis, the advancement of artificial intelligence (AI)-aided tools and methodologies for the effective detection and monitoring of AF is becoming increasingly apparent. A unified strategy from the international research community is essential to develop effective intelligent tools and technologies to support the health professionals for effective surveillance and defense against AF.
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