A review of signal processing techniques for non-invasive fetal electrocardiography
Fetal electrocardiography (fECG) is a promising alternative to cardiotocography continuous
fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal …
fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal …
A comprehensive review on seismocardiogram: current advancements on acquisition, annotation, and applications
In recent years, cardiovascular diseases are on the rise, and they entail enormous health
burdens on global economies. Cardiac vibrations yield a wide and rich spectrum of essential …
burdens on global economies. Cardiac vibrations yield a wide and rich spectrum of essential …
Multiscale energy and eigenspace approach to detection and localization of myocardial infarction
LN Sharma, RK Tripathy… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In this paper, a novel technique on a multiscale energy and eigenspace (MEES) approach is
proposed for the detection and localization of myocardial infarction (MI) from multilead …
proposed for the detection and localization of myocardial infarction (MI) from multilead …
Patient specific machine learning models for ECG signal classification
SK Pandey, RR Janghel, V Vani - Procedia Computer Science, 2020 - Elsevier
Arrhythmia is one of the major cause of deaths across the globe. Almost 17.9 million deaths
are caused due to cardiovascular diseases. In order to reduce this much mortality rate, the …
are caused due to cardiovascular diseases. In order to reduce this much mortality rate, the …
A kurtosis-based wavelet algorithm for motion artifact correction of fNIRS data
Movements are a major source of artifacts in functional Near-Infrared Spectroscopy (fNIRS).
Several algorithms have been developed for motion artifact correction of fNIRS data …
Several algorithms have been developed for motion artifact correction of fNIRS data …
Detection of shockable ventricular arrhythmia using variational mode decomposition
Ventricular tachycardia (VT) and ventricular fibrillation (VF) are shockable ventricular cardiac
ailments. Detection of VT/VF is one of the important step in both automated external …
ailments. Detection of VT/VF is one of the important step in both automated external …
Automating detection and localization of myocardial infarction using shallow and end-to-end deep neural networks
Myocardial infarction (MI), also known as a heart attack, is one of the common cardiac
disorders caused by prolonged myocardial ischemia. For MI patients, specifying the exact …
disorders caused by prolonged myocardial ischemia. For MI patients, specifying the exact …
An LSTM-based model for person identification using ECG signal
D Jyotishi, S Dandapat - IEEE Sensors Letters, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG)-based biometrics are gaining popularity because of its robustness
against falsification. In this letter, we have designed a new long short-term memory (LSTM) …
against falsification. In this letter, we have designed a new long short-term memory (LSTM) …
Denoising of ECG signal by non-local estimation of approximation coefficients in DWT
This paper presents an ECG denoising technique using merits of discrete wavelet transform
(DWT) and non-local means (NLM) estimation. The NLM-based approach is quite effective …
(DWT) and non-local means (NLM) estimation. The NLM-based approach is quite effective …
An ECG biometric system using hierarchical LSTM with attention mechanism
D Jyotishi, S Dandapat - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The electrocardiogram (ECG) based biometric system has recently gained popularity. Easy
signal acquisition and robustness against falsification are the major advantages of the ECG …
signal acquisition and robustness against falsification are the major advantages of the ECG …