Impact of eeg parameters detecting dementia diseases: A systematic review

LM Sánchez-Reyes, J Rodríguez-Reséndiz… - IEEE …, 2021 - ieeexplore.ieee.org
Dementia diseases are increasing rapidly, according to the World Health Organization
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …

A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases

PM Tripathi, A Kumar, R Komaragiri… - Archives of Computational …, 2022 - Springer
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 …

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 …

A systematic review on artificial intelligence-based techniques for diagnosis of cardiovascular arrhythmia diseases: challenges and opportunities

S Singhal, M Kumar - Archives of Computational Methods in Engineering, 2023 - Springer
Cardiovascular health-related problem is a rapidly increasing integrated field concerning the
processing and fetching the information from cardiovascular systems for early detection and …

Empirical mode decomposition and wavelet transform based ECG data compression scheme

CK Jha, MH Kolekar - Irbm, 2021 - Elsevier
Objective In health-care systems, compression is an essential tool to solve the storage and
transmission problems. In this regard, this paper reports a new electrocardiogram (ECG) …

Intellectual heartbeats classification model for diagnosis of heart disease from ECG signal using hybrid convolutional neural network with GOA

A Tyagi, R Mehra - SN Applied Sciences, 2021 - Springer
Automatic heart disease detection from human heartbeats is a challenging and intellectual
assignment in signal processing because periodically monitoring of the heart beat …

Heart rate monitoring and therapeutic devices: a wavelet transform based approach for the modeling and classification of congestive heart failure

A Kumar, R Komaragiri, M Kumar - ISA transactions, 2018 - Elsevier
Heart rate monitoring and therapeutic devices include real-time sensing capabilities
reflecting the state of the heart. Current circuitry can be interpreted as a cardiac electrical …

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 …

Regularity of heart rate fluctuations analysis in obstructive sleep apnea patients using information-based similarity

S Wu, D Liang, Q Yang, G Liu - Biomedical Signal Processing and Control, 2021 - Elsevier
Obstructive sleep apnea (OSA) is a common respiratory disorder that is associated with
autonomic dysfunction. The low-frequency power to high-frequency power ratio (LF/HF) …

An energy-efficient compression algorithm of ECG signals in remote healthcare monitoring systems

IS Fathi, MAA Makhlouf, E Osman, MA Ahmed - IEEE Access, 2022 - ieeexplore.ieee.org
Remote Healthcare Monitoring Systems (RHMs) that use ECG signals are very effective
tools for the early diagnosis of various heart conditions. However, these systems are still …