Stationary wavelet transform based ECG signal denoising method

A Kumar, H Tomar, VK Mehla, R Komaragiri, M Kumar - ISA transactions, 2021 - Elsevier
Electrocardiogram (ECG) signals are used to diagnose cardiovascular diseases. During
ECG signal acquisition, various noises like power line interference, baseline wandering …

From pacemaker to wearable: techniques for ECG detection systems

A Kumar, R Komaragiri, M Kumar - Journal of Medical Systems, 2018 - Springer
With the alarming rise in the deaths due to cardiovascular diseases (CVD), present medical
research scenario places notable importance on techniques and methods to detect CVDs …

Motion artifact removal in ambulatory ECG signal for heart rate variability analysis

D Berwal, CR Vandana, S Dewan, CV Jiji… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
This work presents an efficient method for motion artifact removal from ambulatory
electrocardiogram (ECG) signal for heart rate variability (HRV) in wearable/portable …

Design of wavelet transform based electrocardiogram monitoring system

A Kumar, R Komaragiri, M Kumar - ISA transactions, 2018 - Elsevier
The new age advancements in information technology due to materials and integrated
circuit (IC) technologies and their applications in biomedical sciences have made the …

An energy-efficient design for ECG recording and R-peak detection based on wavelet transform

Y Zou, J Han, S Xuan, S Huang, X Weng… - … on Circuits and …, 2014 - ieeexplore.ieee.org
Long-term monitoring of electrocardiogram (ECG) requires a portable inspection system that
can offer both high energy efficiency and good signal quality. To manage challenges caused …

Design of a biorthogonal wavelet transform based R-peak detection and data compression scheme for implantable cardiac pacemaker systems

A Kumar, M Kumar, R Komaragiri - Journal of medical systems, 2018 - Springer
Bradycardia can be modulated using the cardiac pacemaker, an implantable medical device
which sets and balances the patient's cardiac health. The device has been widely used to …

System for neural network determination of atrial fibrillation on ECG signals with wavelet-based preprocessing

P Lyakhov, M Kiladze, U Lyakhova - Applied Sciences, 2021 - mdpi.com
Featured Application The use by medical of a neural network classification system for ECG
signals with preprocessing steps to recognize atrial fibrillation. Abstract Today …

Motion artifact reduction algorithm for wearable electrocardiogram monitoring systems

SY Lee, PH Su, YW Hung, IP Lee… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An electrocardiogram (ECG) test is usually performed through measurement with Ag/AgCl
electrodes. However, this method has disadvantages, such as skin irritation, short shelf life …

Wearable depression monitoring system with heart-rate variability

T Roh, S Hong, HJ Yoo - … Conference of the IEEE Engineering in …, 2014 - ieeexplore.ieee.org
A wearable depression monitoring system is proposed with an application-specific system-
on-chip (SoC) solution. The SoC is designed to accelerate the filtering and feature extraction …

Clinical validation of a low-power and wearable ECG patch for long term full-disclosure monitoring

T Torfs, CJP Smeets, D Geng, T Berset… - Journal of …, 2014 - Elsevier
Background Detection of intermittent atrial fibrillation (AF) is done using a 24-h Holter. Holter
recordings are powerful but lack the comfort and have limited recording times resulting in …