Latest AI and machine learning research in myocardial infarction for healthcare professionals.
AIMS: The present study explores the feasibility of telestenting, wherein a physician operator perfo...
Acute myocardial infarction is a major cause of hospitalization and mortality in China, where ST-ele...
A 37-year-old male presented to the Emergency Department with acute worsening of back pain and new o...
The aim of this study is to prepare and characterize cardiac troponin T (cTnT) monoclonal antibodies...
This is a study based on hospital intensive monitoring to explore medication use of Diemailing Kudie...
With the increasing number of electrocardiogram(ECG)data,extensive application requirements of compu...
Apoptosis plays a role in the process of tissue damage after myocardial infarction (MI). This study ...
In this paper we present a method to predict Sudden Cardiac Arrest (SCA) with higher order spectral ...
Good quality electrocardiogram (ECG) is utilized by physicians for the interpretation and identifica...
Opportunistic ambient sensing involves placement of sensors appropriately so that intermittent conta...
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of card...
Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stre...
A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. ...
Electrocardiogram (ECG) data from patients with a variety of heart conditions are studied using ordi...
The study of biology and medicine in a noise environment is an evolving direction in biological data...
The aim of this study was to determine the antiulcer activity of Lignosus rhinocerotis in rats. A to...
Various techniques for administration of blood cardioplegia are used worldwide. In this study, the e...
OBJECTIVE: To assess brush sign (BS) on susceptibility-weighted imaging (SWI) in prediction of hemor...
The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis i...
To explore rapid reliable methods for detection of Epicarpium citri grandis (ECG), the experiment us...
The use of wearable recorders for long-term monitoring of physiological parameters has increased in ...