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A Nomogram utilizing ECG P-wave parameters to predict recurrence risk following catheter ablation in paroxysmal atrial fibrillation.

J Cardiothorac Surg

January 2025

Department of Cardiology, Fujian Medical University Union Hospital, Fujian Heart Medical Center, Fujian Institute of Coronary Heart Disease, Fujian Clinical Medical Research Center for Heart and Macrovascular Disease, Fuzhou, 350001, China.

Objective: The objective of this study is to assess the predictive utility of perioperative P-wave parameters in patients with paroxysmal atrial fibrillation (PAF) undergoing catheter ablation, and to develop a predictive model using these parameters.

Methods: A total of 213 patients with PAF undergoing catheter ablation were retrospectively analyzed. P-wave parameters were measured within 3 days preoperatively and on the day postoperatively to determine their predictive significance for postoperative PAF recurrence.

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A Comparative Study Between Cold Static Storage and Normothermic Ex-Situ Donor Heart Preservation in a Rat Model of Heterotopic Heart Transplantation.

J Surg Res

January 2025

Department of Thoracic and Cardiovascular Surgery, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea; Extracorporeal Circulation Research Team, Chonnam National University Hospital, Gwangju, Republic of Korea. Electronic address:

Introduction: Cold static storage (CSS) and normothermic ex-situ preservation are the most widely used donor heart preservation techniques worldwide. The current study compares both CSS and normothermic ex-situ preservation methods in terms of graft performance, morphologic changes, and acute immune response in an experimental model.

Method And Materials: Twenty rats underwent heterotopic abdominal heart transplantation after 2 h of CSS (group 1; n = 10) or normothermic ex-situ perfusion (group 2; n = 10).

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Premature Coronary Artery Disease Presenting as STEMI in a Teenager.

J Investig Med High Impact Case Rep

January 2025

LSU Health Shreveport, LA, USA.

An 18-year-old teenager with significant atherosclerotic cardiovascular disease (ASCVD) risk factors developed acute chest pain. His electrocardiogram showed inferior ST-segment elevations. Emergent coronary angiogram revealed complete thrombotic occlusion of the right coronary artery.

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A Deep Learning Approach for Mental Fatigue State Assessment.

Sensors (Basel)

January 2025

Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100191, China.

This study investigates mental fatigue in sports activities by leveraging deep learning techniques, deviating from the conventional use of heart rate variability (HRV) feature analysis found in previous research. The study utilizes a hybrid deep neural network model, which integrates Residual Networks (ResNet) and Bidirectional Long Short-Term Memory (Bi-LSTM) for feature extraction, and a transformer for feature fusion. The model achieves an impressive accuracy of 95.

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Generally, the electrocardiography (ECG) system plays an important role in preventing and diagnosing heart diseases. To further improve the amenity and convenience of using an ECG system, we built a customized capacitive electrocardiography (cECG) system with one wet electrode, sixteen non-contact electrodes, two ADS1299 chips, and one STM32F303-based microcontroller unit (MCU). This new cECG system could acquire, save, and display the ECG data in real time.

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