Stages-based ECG signal analysis from traditional signal processing to machine learning approaches: A survey

M Wasimuddin, K Elleithy, AS Abuzneid… - IEEE …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …

A comprehensive survey of wearable and wireless ECG monitoring systems for older adults

MM Baig, H Gholamhosseini, MJ Connolly - Medical & biological …, 2013 - Springer
Wearable health monitoring is an emerging technology for continuous monitoring of vital
signs including the electrocardiogram (ECG). This signal is widely adopted to diagnose and …

Current methods in electrocardiogram characterization

RJ Martis, UR Acharya, H Adeli - Computers in biology and medicine, 2014 - Elsevier
The Electrocardiogram (ECG) is the P-QRS-T wave depicting the cardiac activity of the heart.
The subtle changes in the electric potential patterns of repolarization and depolarization are …

Towards energy efficiency in the internet of wearable things: A systematic review

WB Qaim, A Ometov, A Molinaro, I Lener… - IEEE …, 2020 - ieeexplore.ieee.org
Personal mobile devices such as smartwatches, smart jewelry, and smart clothes have
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …

Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges

SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …

Enabling smart personalized healthcare: A hybrid mobile-cloud approach for ECG telemonitoring

X Wang, Q Gui, B Liu, Z **… - IEEE journal of biomedical …, 2013 - ieeexplore.ieee.org
The severe challenges of the skyrocketing healthcare expenditure and the fast aging
population highlight the needs for innovative solutions supporting more accurate, affordable …

A joint QRS detection and data compression scheme for wearable sensors

CJ Deepu, Y Lian - IEEE Transactions on Biomedical …, 2014 - ieeexplore.ieee.org
This paper presents a novel electrocardiogram (ECG) processing technique for joint data
compression and QRS detection in a wireless wearable sensor. The proposed algorithm is …

Multiclass ECG signal analysis using global average-based 2-D convolutional neural network modeling

M Wasimuddin, K Elleithy, A Abuzneid, M Faezipour… - Electronics, 2021 - mdpi.com
Cardiovascular diseases have been reported to be the leading cause of mortality across the
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …

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 …

Ubiquitous emotion-aware computing

EL Van den Broek - Personal and Ubiquitous Computing, 2013 - Springer
Emotions are a crucial element for personal and ubiquitous computing. What to sense and
how to sense it, however, remain a challenge. This study explores the rare combination of …