Myocardial Infarction

Using ordinal partition transition networks to analyze ECG data.

Electrocardiogram (ECG) data from patients with a variety of heart conditions are studied using ordinal pattern partition networks. The ordinal pattern partition networks are formed from the ECG time series by symbolizing the data into ordinal patterns. The ordinal patterns form the nodes of the network and edges are defined through the time ordering of the ordinal patterns in the symbolized time ...

Sparse electrocardiogram signals recovery based on solving a row echelon-like form of system.

The study of biology and medicine in a noise environment is an evolving direction in biological data analysis. Among these studies, analysis of electrocardiogram (ECG) signals in a noise environment is a challenging direction in personalized medicine. Due to its periodic characteristic, ECG signal can be roughly regarded as sparse biomedical signals. This study proposes a two-stage recovery algori...

Investigation of the Tiger Milk Medicinal Mushroom, Lignosus rhinocerotis (Agaricomycetes), as an Antiulcer Agent.

The aim of this study was to determine the antiulcer activity of Lignosus rhinocerotis in rats. A total of 48 Sprague-Dawley rats were used in ethanol...

Comparison of Warm Blood Cardioplegia Delivery With or Without the Use of a Roller Pump.

Various techniques for administration of blood cardioplegia are used worldwide. In this study, the effect of warm blood cardioplegia administration wi...

[Signifiance of brush sign on susceptibility-weighted imaging predicts hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke].

OBJECTIVE: To assess brush sign (BS) on susceptibility-weighted imaging (SWI) in prediction of hemorrhagic transformation (HT) in patients with acute ...

Efficacy and Safety Evaluation on Arterial Thrombolysis in Treating Acute Cerebral Infarction.

The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis in treating acute cerebral infarction and further d...

[Rapid Identification of Epicarpium Citri Grandis via Infrared Spectroscopy and Fluorescence Spectrum Imaging Technology Combined with Neural Network].

To explore rapid reliable methods for detection of Epicarpium citri grandis (ECG), the experiment using Fourier Transform Attenuated Total Reflection ...

Physical activities recognition from ambulatory ECG signals using neuro-fuzzy classifiers and support vector machines.

The use of wearable recorders for long-term monitoring of physiological parameters has increased in the last few years. The ambulatory electrocardiogr...

Convolutional Neural Networks for patient-specific ECG classification.

We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Co...

A synergistic role of ischemia modified albumin and high-sensitivity troponin T in the early diagnosis of acute coronary syndrome.

AIM: The aim was to evaluate the role of high sensitivity troponin T and ischemia modified albumin (IMA) and in the early diagnosis of acute coronary ...

Carotid artery dissection presenting as a painless Horner's syndrome in a pilot: fit to fly?

We describe a case of a middle-aged Caucasian pilot who presented to us with a painless left Horner's syndrome due to a focal dissection of the infra-...

ECG monitoring of heart failure and pilot load/overload by the Vesla seat pad.

Heart failure has caused sudden incapacitation of pilots in command of commerical airliners. These fatal episodes have occurred in connection with tak...