Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.revmed.2008.06.021 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Artemisinin-Quinidine Combination for Suppressing Ventricular Tachyarrhythmia in an Ex Vivo Model of Brugada Syndrome.
J Korean Med Sci
January 2025
Division of Cardiology, Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Background: The ionic mechanism underlying Brugada syndrome (BrS) arises from an imbalance in transient outward current flow between the epicardium and endocardium. Previous studies report that artemisinin, originally derived from a Chinese herb for antimalarial use, inhibits the Ito current in canines. In a prior study, we showed the antiarrhythmic effects of artemisinin in BrS wedge preparation models.
View Article and Find Full Text PDFElectrocardiographic Changes in Pregnant Patients With Congenital Heart Disease For the STORCC Investigators.
Ann Noninvasive Electrocardiol
January 2025
Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Background: Electrocardiograms (EKGs) are routinely performed in pregnant patients with pre-existing cardiovascular disease. However, in pregnant patients with congenital heart disease (CHD), EKG changes during gestation have not been explored.
Methods: We performed a retrospective study of pregnant patients with CHD enrolled in the STORCC initiative.
Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor.
Commun Med (Lond)
January 2025
Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Background: The ability to non-invasively measure left atrial pressure would facilitate the identification of patients at risk of pulmonary congestion and guide proactive heart failure care. Wearable cardiac monitors, which record single-lead electrocardiogram data, provide information that can be leveraged to infer left atrial pressures.
Methods: We developed a deep neural network using single-lead electrocardiogram data to determine when the left atrial pressure is elevated.
Prediction of ECG signals from ballistocardiography using deep learning for the unconstrained measurement of heartbeat intervals.
Sci Rep
January 2025
Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University (emeritus), Yonezawa, Japan.
We developed a deep learning-based extraction of electrocardiographic (ECG) waves from ballistocardiographic (BCG) signals and explored their use in R-R interval (RRI) estimation. Preprocessed BCG and reference ECG signals were inputted into the bidirectional long short-term memory network to train the model to minimize the loss function of the mean squared error between the predicted ECG (pECG) and genuine ECG signals. Using a dataset acquired with polyvinylidene fluoride and ECG sensors in different recumbent positions from 18 participants, we generated pECG signals from preprocessed BCG signals using the learned model and evaluated the RRI estimation performance by comparing the predicted RRI with the reference RRI obtained from the ECG signal using a leave-one-subject-out cross-validation scheme.
View Article and Find Full Text PDFEffect of different intraoperative blood pressure regulation levels on postoperative myocardial injury in patients undergoing radical mastectomy for breast cancer after receiving neoadjuvant chemotherapy: a study protocol for a randomised controlled trial.
BMJ Open
January 2025
Department of Anesthesiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, China
Introduction: For patients with breast cancer receiving preoperative neoadjuvant chemotherapy with anthracyclines, there is an increased risk of postoperative myocardial injury due to the cardiotoxicity of the chemotherapeutic agents. The optimal intraoperative blood pressure regulation regimen for these patients is unclear. This study is being conducted to determine whether targeting mean arterial pressure (MAP) to 100%-120% of the patient's baseline blood pressure reduces the incidence of myocardial injury after non-cardiac surgery (MINS) compared with targeting MAP to 80%-100%.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!