Metabolite identification from 1D 1H NMR spectra is a major challenge in NMR-based
metabolomics. This study introduces NMRformer, a Transformer-based deep learning …

Electrocardiogram (ECG) signal is the electrical recording of coronary heart activity. It is a
common routine and vital cardiac diagnostic tool in which in electric signals are measured …

ECG (Electrocardiography) is a technology used to measure the health of the heart. This
paper describes various noises that contaminate the ECG signal and various techniques …

Arrhythmia, which is defined as a problem with the rhythm or rate at which the heart
operates, is highly imperceptible yet insidious and can result in severe complications. In this …

Wearables with embedded electrodes and sensors are capable of continuously performing
Electrocardiography (ECG), recording electrical activity of the heart, while estimating heart …

Electrocardiogram (ECG) has an important reference value in the study of basic cardiac
function and pathology. However, ECG signals are easily corrupted by various noises in the …

The proper performance of computerized ECG analysis is highly dependent on the accuracy
of extracted fiducial points. The aim of this study is to develop an ECG analysis algorithm …

We live in a world where computer systems are omnipresent and are connected to more and
more sensors. Ranging from small individual electronic assistants like smartphones to …

Electrocardiogram (ECG) signal is the electrical recording of coronary heart activity. It is a
common routine and vital cardiac diagnostic tool in which in electric signals are measured …

El presente trabajo de tesis tiene como objetivo principal el diseño e implementación de un
dispositivo electrocardiógrafo que pueda reducir el índice de mortalidad ocasionadas por …