An efficient optimized feature selection with machine learning approach for ECG biometric recognition

KK Patro, A Jaya Prakash… - IETE Journal of …, 2022 - Taylor & Francis
In machine learning, an efficient classifier model design is mostly based on effective feature
extraction and appropriate feature selection. This work mainly focused on different optimized …

ECG data optimization for biometric human recognition using statistical distributed machine learning algorithm

KK Patro, SPR Reddi, SKE Khalelulla… - The Journal of …, 2020 - Springer
Currently, security plays a crucial role in military, forensic and other industry applications.
Traditional biometric authentication methods such as fingerprint, voice, face, iris and …

Effective feature extraction of ECG for biometric application

KK Patro, PR Kumar - Procedia computer science, 2017 - Elsevier
Biometric systems performing identity recognition based upon extracted informative data
from an individual are vital for security applications. The vital characteristics of an ECG …

Performance evaluation of plain weave and honeycomb weave electrodes for human ECG monitoring

X **ao, S Pirbhulal, K Dong, W Wu, X Mei - Journal of Sensors, 2017 - Wiley Online Library
Long‐time monitoring of physiological parameters can scrutinize human health conditions
so as to use electrocardiogram (ECG) for diagnosis of some human's chronic cardiovascular …

[PDF][PDF] Machine learning classification approaches for biometric recognition system using ECG signals.

KK Patro, PR Kumar - Journal of Engineering Science & Technology …, 2017 - jestr.org
Person identification is an essential task in defense and forensic applications such as
surveillance and criminal investigation activities. Studies conducted in the past included …

Reconfigurable architecture for multi-lead ECG signal compression with high-frequency noise reduction

MH Chowdhury, RCC Cheung - Scientific reports, 2019 - nature.com
Electrocardiogram (ECG) is a record of the heart's electrical activity over a specified period,
and it is the most popular noninvasive diagnostic test to identify several cardiac diseases. It …

Ecg analysis: A brief review

SK Mohapatra, MN Mohanty - Recent Advances in Computer …, 2021 - benthamdirect.com
In recent years, cardiac problems have been found proportional to technology development.
As the cardiac signal (Electrocardiogram) relates to the electrical activity of the heart of a …

A comparative study of fuzzy vault based security methods for wirless body sensor networks

S Pirbhulal, H Zhang, W Wu… - 2016 10th International …, 2016 - ieeexplore.ieee.org
Wireless Body Sensor Networks (WBSNs) are widely used for healthcare monitoring
applications. Owing to the significance of confidentiality and security, the transmissions of …

A new method for denoising ECG signal using sharp cut-off FIR filter

S Roy, A Chandra - … on Devices, Circuits and Systems (ISDCS), 2018 - ieeexplore.ieee.org
An electrocardiogram (ECG) is a graphical interface that shows its implication for the
diagnosis of various cardiac problems by recording the electrical activity of heart with …

ECG-based heartbeat classification for arrhythmia detection using artificial neural networks

E Cepeda, NN Sánchez-Pozo… - … Science and Its …, 2022 - Springer
Cardiovascular disease (CVD) has quickly grown in prevalence over the previous decade,
becoming the major cause of human morbidity on a global scale. Due to the massive …