Journal ArticleDOI
A Real-Time ECG Data Compression and Transmission Algorithm for an e-Health Device
TLDR
Because the proposed real-time data compression and transmission algorithm can compress and transmit data in real time, it can be served as an optimal biosignal data transmission method for limited bandwidth communication between e-health devices.Abstract:
This paper introduces a real-time data compression and transmission algorithm between e-health terminals for a periodic ECGsignal. The proposed algorithm consists of five compression procedures and four reconstruction procedures. In order to evaluate the performance of the proposed algorithm, the algorithm was applied to all 48 recordings of MIT-BIH arrhythmia database, and the compress ratio (CR), percent root mean square difference (PRD), percent root mean square difference normalized (PRDN), rms, SNR, and quality score (QS) values were obtained. The result showed that the CR was 27.9:1 and the PRD was 2.93 on average for all 48 data instances with a 15% window size. In addition, the performance of the algorithm was compared to those of similar algorithms introduced recently by others. It was found that the proposed algorithm showed clearly superior performance in all 48 data instances at a compression ratio lower than 15:1, whereas it showed similar or slightly inferior PRD performance for a data compression ratio higher than 20:1. In light of the fact that the similarity with the original data becomes meaningless when the PRD is higher than 2, the proposed algorithm shows significantly better performance compared to the performance levels of other algorithms. Moreover, because the algorithm can compress and transmit data in real time, it can be served as an optimal biosignal data transmission method for limited bandwidth communication between e-health devices.read more
Citations
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Journal ArticleDOI
A survey on ECG analysis
Selcan Kaplan Berkaya,Alper Kursat Uysal,Efnan Sora Gunal,Semih Ergin,Serkan Gunal,M. Bilginer Gülmezoğlu +5 more
TL;DR: The literature on ECG analysis, mostly from the last decade, is comprehensively reviewed based on all of the major aspects mentioned above.
Journal ArticleDOI
An efficient compression of ECG signals using deep convolutional autoencoders
TL;DR: A new deep convolutional autoencoder (CAE) model for compressing ECG signals that can learn to use different ECG records automatically and allow secure data transfer in a low-dimensional form to remote medical centers is proposed.
Journal ArticleDOI
A Hybrid Data Compression Scheme for Power Reduction in Wireless Sensors for IoT
TL;DR: This paper presents a novel data compression and transmission scheme for power reduction in Internet-of-Things (IoT) enabled wireless sensors, applying the method to electrocardiogram (ECG).
Journal ArticleDOI
IoT-Based Smart Edge for Global Health: Remote Monitoring With Severity Detection and Alerts Transmission
TL;DR: In this paper, the authors presented an IoT-based smart edge system for remote health monitoring, in which wearable vital sensors transmit data into two novel software engines, namely rapid active summarization for effective prognosis (RASPRO) and criticality measure index (CMI) alerts, both of which have implemented in the IoT smart edge.
Journal ArticleDOI
Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review
TL;DR: A prospective review of wavelet-based ECG compression methods and their performances based upon findings obtained from various experiments conducted using both clean and noisy ECG signals is presented.
References
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Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm
TL;DR: A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed and is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.
Journal ArticleDOI
AZTEC, a Preprocessing Program for Real-Time ECG Rhythm Analysis
TL;DR: A preprocessing program developed for real-time monitoring of the electrocardiogram by digital computer has proved useful for rhythm analysis.
Journal ArticleDOI
ECG data compression using truncated singular value decomposition
TL;DR: The results showed that truncated SVD method can provide an efficient coding with high-compression ratios and demonstrated the method as an effective technique for ECG data storage or signals transmission.
Journal ArticleDOI
ECG Data Compression Using Fourier Descriptors
TL;DR: The method of Fourier descriptors (FD's) is presented for ECG data compression, resistant to noisy signals and is simple, requiring implementation of forward and inverse FFT.
Journal ArticleDOI
ECG data compression using cut and align beats approach and 2-D transforms
Hanwoo Lee,K.M. Buckley +1 more
TL;DR: A new electrocardiogram (ECG) data compression method is presented which employs a two dimensional (2-D) transform which illustrates substantial improvement in compression ratio over one-dimensional methods for comparable percent root-mean-square difference (PRD).