Myocardial Infarction

[Design and Implementation of Portable Abnormal ECG Signal Analysis Instrument Based on Feature Classifcation].

OBJECTIVES: To collect and analyze the ECG signal in real time, the analog filter and the signal amplifier were used to construct the abnormal signal acquisition and classification system.

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac electrical activity from the body surface. ECG analysis can therefore be a crucial first step to help diagnose, understand and predict cardiovascular disorders responsible for 30% of deaths worldwide. Computational techniques, and more specifically machine learning techniques and computational modelling...

[Perioperative stroke effectively treated by an acute stroke team including anesthesia department: a case report].

Perioperative stroke is cerebral infarction occurring in the perioperative period. The incidence of perioperative stroke in non-cardiac, and non-neuro...

The dose-response association between estimated glomerular filtration rate and prognosis of patients with ST-segment elevation myocardial infarction from rural areas of China's Liaoning province.

We aimed to investigate the dose-response associations between chronic kidney disease (CKD), and short and long-term cardiovascular outcomes, to chara...

Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study.

BACKGROUND: Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a...

Effects of treatment with chemotherapy and/or tamoxifen on the biomarkers of cardiac injury and oxidative stress in women with breast cancer.

There has been an increase in deaths from cardiovascular diseases following breast cancer therapy. Evidence has shown that this outcome is, in part, a...

Demonstration of the Safety and Feasibility of Robotically Assisted Percutaneous Coronary Intervention in Complex Coronary Lesions: Results of the CORA-PCI Study (Complex Robotically Assisted Percutaneous Coronary Intervention).

OBJECTIVES: The aims of this study were to evaluate the feasibility and technical success of robotically assisted percutaneous coronary intervention (...

Percutaneous coronary intervention using a combination of robotics and telecommunications by an operator in a separate physical location from the patient: an early exploration into the feasibility of telestenting (the REMOTE-PCI study).

AIMS: The present study explores the feasibility of telestenting, wherein a physician operator performs stenting on a patient in a separate physical l...

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.

Acute myocardial infarction is a major cause of hospitalization and mortality in China, where ST-elevation myocardial infarction (STEMI) is more sever...

Aortic dissection masquerading as a bicuspid aortic valve.

A 37-year-old male presented to the Emergency Department with acute worsening of back pain and new onset dyspnea. Transthoracic echocardiography revea...

[Development, identification and application of 33 monoclonal antibodies against cardiac troponin T].

The aim of this study is to prepare and characterize cardiac troponin T (cTnT) monoclonal antibodies (mAb), and further develop a chemiluminescence qu...

[Analysis of Diemailing Kudiezi injection use in real world in 7 189 patients with cerebral infarction].

This is a study based on hospital intensive monitoring to explore medication use of Diemailing Kudiezi injection(one Chinese herbal medicine injection...

[Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning].

With the increasing number of electrocardiogram(ECG)data,extensive application requirements of computer-aided ECG analysis have occurred.In the paper,...

Effect of cerebrolysin on oxidative stress-induced apoptosis in an experimental rat model of myocardial ischemia.

Apoptosis plays a role in the process of tissue damage after myocardial infarction (MI). This study was designed to investigate the possible effect of...

An approach to predict Sudden Cardiac Death (SCD) using time domain and bispectrum features from HRV signal.

In this paper we present a method to predict Sudden Cardiac Arrest (SCA) with higher order spectral (HOS) and linear (Time) features extracted from he...

Electrocardiogram signal denoising based on a new improved wavelet thresholding.

Good quality electrocardiogram (ECG) is utilized by physicians for the interpretation and identification of physiological and pathological phenomena. ...

Sensor data quality processing for vital signs with opportunistic ambient sensing.

Opportunistic ambient sensing involves placement of sensors appropriately so that intermittent contact can be made unobtrusively for gathering physiol...

Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of...

Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis.

Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stress detection via short-term Heart Rate Variability...

Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences ...