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 …

A divide-and-conquer method for compression and reconstruction of smart meter data

B Liu, Y Hou, W Luan, Z Liu, S Chen, Y Yu - Applied Energy, 2023 - Elsevier
As smart grid sensors, smart meters generate abundant valuable data, laying the foundation
for data-driven applications. However, the data collection brings huge communication …

Feature engineering based performance analysis of ML and DL algorithms for Botnet attack detection in IoMT

S Saif, N Yasmin, S Biswas - International Journal of System Assurance …, 2023 - Springer
The internet of medical things is one of the popular application of internet of things (IoT)
where various small medical devices are interconnected with each other to share sensitive …

Automatic Classification of Cardiac Arrhythmias using Deep Learning Techniques: A Systematic Review

F Vásquez-Iturralde, M Flores-Calero… - IEEE …, 2024 - ieeexplore.ieee.org
Cardiac arrhythmias are one of the main causes of death worldwide; therefore, early
detection is essential to save the lives of patients who suffer from them and to reduce the …

Electrocardiogram signal compression using adaptive tunable-Q wavelet transform and modified dead-zone quantizer

HS Pal, A Kumar, A Vishwakarma, HN Lee - ISA transactions, 2023 - Elsevier
The electrocardiogram (ECG) signals are commonly used to identify heart complications.
These recordings generate large data that needed to be stored or transferred in …

Evaluating edge computing and compression for remote cuff-less blood pressure monitoring

W Goossens, D Mustefa, D Scholle, H Fotouhi… - Journal of Sensor and …, 2022 - mdpi.com
Remote health monitoring systems play an important role in the healthcare sector. Edge
computing is a key enabler for realizing these systems, where it is required to collect big …

Optimizing real-time ecg data transmission in constrained environments

H Ouda, A Badr, A Rashwan… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
ECG monitoring systems have a significant role in detecting cardiovascular diseases and
reducing the rate of sudden cardiac deaths. One of the critical factors to support real-time …

A novel ECG compression algorithm using Pulse-Width Modulation integrated quantization for low-power real-time monitoring

I Devindi, S Liyanage, T Jayarathna, J Alawatugoda… - Scientific Reports, 2024 - nature.com
Cardiac monitoring systems in Internet of Things (IoT) healthcare, reliant on limited battery
and computational capacity, need efficient local processing and wireless transmission for …

PSCS: A Physiological Sound Compression System Based on Compressive Sensing with Self-Adaptive Compression Ratio and Optimized DCT

C Chen, R Pan, H Huang, Q Zhang… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Continuous physiological sound monitoring is crucial for the prevention, diagnosis, and
treatment of various diseases like cardiopulmonary and gastrointestinal conditions …

Meta-Analysis approach to assess ECG compression methods: A systematic Review

V Aggarwal, S Gupta, MS Patterh - 2023 14th International …, 2023 - ieeexplore.ieee.org
In present era, technological advancements make it possible to develop better telehealth
care and monitoring system for those patients who are at remote locations. It became …