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

Cardiac monitoring systems in Internet of Things (IoT) healthcare, reliant on limited battery and computational capacity, need efficient local processing and wireless transmission for comprehensive analysis. Due to the power-intensive wireless transmission in IoT devices, ECG signal compression is e...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Scientific reports Ročník 14; číslo 1; s. 17162 - 15
Hlavní autori: Devindi, Isuri, Liyanage, Sashini, Jayarathna, Titus, Alawatugoda, Janaka, Ragel, Roshan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 26.07.2024
Nature Publishing Group
Nature Portfolio
Predmet:
639/166/985
692/4019/2773
Algorithms
Compression
Data Compression - methods
Data reduction
Data storage
ECG compression
EKG
Electrocardiography
Electrocardiography - instrumentation
Electrocardiography - methods
Heart rate
Heart Rate - physiology
Humanities and Social Sciences
Humans
Hybrid PWM
Internet of Things
Low-complexity
Monitoring, Physiologic - instrumentation
Monitoring, Physiologic - methods
multidisciplinary
Nearly-perfect reconstruction
Periodicity
Real-time algorithm
Science
Science (multidisciplinary)
Signal Processing, Computer-Assisted
Storage requirements
Real-time algorithm
Low-complexity
ECG compression
Nearly-perfect reconstruction
Hybrid PWM
ISSN:2045-2322, 2045-2322
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Cardiac monitoring systems in Internet of Things (IoT) healthcare, reliant on limited battery and computational capacity, need efficient local processing and wireless transmission for comprehensive analysis. Due to the power-intensive wireless transmission in IoT devices, ECG signal compression is essential to minimize data transfer. This paper presents a real-time, low-complexity algorithm for compressing electrocardiogram (ECG) signals. The algorithm uses just nine arithmetic operations per ECG sample point, generating a hybrid Pulse Width Modulation (PWM) signal storable in a compact 4-bit resolution format. Despite its simplicity, it performs comparably to existing methods in terms of Percentage Root-Mean-Square Difference (PRD) and space-saving while significantly reducing complexity and maintaining robustness against signal noise. It achieves an average Bit Compression Ratio (BCR) of 4 and space savings of 90.4% for ECG signals in the MIT-BIH database, with a PRD of 0.33% and a Quality Score (QS) of 12. The reconstructed signal shows no adverse effects on QRS complex detection and heart rate variability, preserving both the signal amplitude and periodicity. This efficient method for transferring ECG data from wearable devices enables real-time cardiac activity monitoring with reduced data storage requirements. Its versatility suggests potential broader applications, extending to compression of various signal types beyond ECG.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-68022-5