A singular spectrum analysis-based model-free electrocardiogram denoising technique

SK Mukhopadhyay, S Krishnan - Computer Methods and Programs in …, 2020 - Elsevier
Background and objective An efficient and robust electrocardiogram (ECG) denoising
technique caters three-fold benefits in the subsequent processing steps: first, it helps …

Accurate detection of dicrotic notch from PPG signal for telemonitoring applications

A Chakraborty, D Sadhukhan… - International Journal of …, 2021 - inderscienceonline.com
Recent technological advancement has inspired the modern population to adopt a portable,
simple personal telemonitoring system that uses easy-to-acquire biosignal such as …

ECG signal compression using ASCII character encoding and transmission via SMS

SK Mukhopadhyay, S Mitra, M Mitra - Biomedical Signal Processing and …, 2013 - Elsevier
Software based efficient and reliable ECG data compression and transmission scheme is
proposed here. The algorithm has been applied to various ECG data of all the 12 leads …

An ECG compression algorithm with guaranteed reconstruction quality based on optimum truncation of singular values and ASCII character encoding

SK Mukhopadhyay, MO Ahmad, MNS Swamy - … signal processing and …, 2018 - Elsevier
An efficient electrocardiogram (ECG) compression algorithm provides two-fold benefits: first,
it enlarges the storage capability and second, it enhances the transmission efficiency of the …

An automated algorithm to extract time plane features from the PPG signal and its derivatives for personal health monitoring application

A Chakraborty, D Sadhukhan, M Mitra - IETE Journal of Research, 2022 - Taylor & Francis
Recently, photoplethysmogram (PPG) signal is widely adopted in health monitoring devices
for automated assessment of different cardiovascular parameters. However, research in the …

Single-cell and extracellular nano-vesicles biosensing through phase spectral analysis of optical fiber tweezers back-scattering signals

BJ Barros, JPS Cunha - Communications Engineering, 2024 - nature.com
Diagnosis of health disorders relies heavily on detecting biological data and accurately
observing pathological changes. A significant challenge lies in detecting targeted biological …

Rotational Angle Estimation Using an Acceleration Sensor Array and Real-Time Detection Algorithm

BK Kim, H Moon, M Jang, J Kim - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The instantaneous center of rotation (ICOR) is essential engineering information, providing
wheel slip data for fully autonomous skid-steering mobile robots driven by deep learning …

Ventricular Arrhythmia Classification Using Similarity Maps and Hierarchical Multi-Stream Deep Learning

Q Lin, D Oglić, MJ Curtis, HK Lam… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Objective: Ventricular arrhythmias are the primary arrhythmias that cause sudden cardiac
death. We address the problem of classification between ventricular tachycardia (VT) …

A combined application of lossless and lossy compression in ECG processing and transmission via GSM-based SMS

SK Mukhopadhyay, S Mitra, M Mitra - Journal of medical …, 2015 - Taylor & Francis
This paper presents a software-based scheme for reliable and robust Electrocardiogram
(ECG) data compression and its efficient transmission using Second Generation (2G) Global …

Techniques for developing QRS enhancement and detection algorithms in electrocardiography (ECG): A review

AM Khairuddin, KNFK Azir, MRC Beson - AIP Conference Proceedings, 2024 - pubs.aip.org
Algorithms are increasingly being used and recognized for their ability to improve the
performance of diagnostic tools such as contemporary electrocardiogram (ECG). For …