A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal�…
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal�…
Machine learning approach to detect cardiac arrhythmias in ECG signals: A survey
Cardiac arrhythmia is a condition when the heart rate is irregular either the beat is too slow
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats�…
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats�…
Wet‐adaptive electronic skin
Skin electronics provides remarkable opportunities for non‐invasive and long‐term
monitoring of a wide variety of biophysical and physiological signals that are closely related�…
monitoring of a wide variety of biophysical and physiological signals that are closely related�…
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
Background: During the COVID-19 pandemic, there is a global demand for intelligent health
surveillance and diagnosis systems for patients with critical conditions, particularly those�…
surveillance and diagnosis systems for patients with critical conditions, particularly those�…
A comprehensive review of computer-based Techniques for R-peaks/QRS complex detection in ECG signal
Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-wave,
QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease�…
QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease�…
DENS-ECG: A deep learning approach for ECG signal delineation
A Peimankar, S Puthusserypady�- Expert systems with applications, 2021 - Elsevier
Objectives With the technological advancements in the field of tele-health monitoring, it is
now possible to gather huge amount of electro-physiological signals such as the�…
now possible to gather huge amount of electro-physiological signals such as the�…
Wavelet scattering transform for ECG beat classification
An electrocardiogram (ECG) records the electrical activity of the heart; it contains rich
pathological information on cardiovascular diseases, such as arrhythmia. However, it is�…
pathological information on cardiovascular diseases, such as arrhythmia. However, it is�…
Real-time patient-specific ECG classification by 1D self-operational neural networks
Objective: Despitethe proliferation of numerous deep learning methods proposed for generic
ECG classification and arrhythmia detection, compact systems with the real-time ability and�…
ECG classification and arrhythmia detection, compact systems with the real-time ability and�…
[HTML][HTML] Novel phonocardiography system for heartbeat detection from various locations
The paper presents evaluation of the proposed phonocardiography (PCG) measurement
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR�…
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR�…
A novel exploitative and explorative GWO-SVM algorithm for smart emotion recognition
Emotion recognition or detection is broadly utilized in patient–doctor interactions for
diseases, such as schizophrenia and autism and the most typical techniques are speech�…
diseases, such as schizophrenia and autism and the most typical techniques are speech�…