Journal ArticleDOI
A wavelet transform-based ECG compression method guaranteeing desired signal quality
Jie Chen,Shuichi Itoh +1 more
TLDR
A new electrocardiogram compression method based on orthonormal wavelet transform and an adaptive quantization strategy, by which a predetermined percent root mean square difference (PRD) can be guaranteed with high compression ratio and low implementation complexity are presented.Abstract:
This paper presents a new electrocardiogram (ECG) compression method based on orthonormal wavelet transform and an adaptive quantization strategy, by which a predetermined percent root mean square difference (PRD) can be guaranteed with high compression ratio and low implementation complexity.read more
Citations
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FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform Compresión de señales ECG sobre FPGA utilizando un esquema modificado de convolución de la Transformada Wavelet Discreta
TL;DR: In this paper, the Discrete Wavelet Transform (DWT) and one lossless encoding method were used for real-time ECG compression by using an FPGA.
Journal ArticleDOI
Electrocardiogram Data Compression Techniques for Cardiac Healthcare Systems: A Methodological Review
TL;DR: In this article , the authors present a methodological review of different ECG data compression techniques based on their experimental performance on ECG records of the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database.
Journal ArticleDOI
A morphologically robust chaotic map based approach to embed patient’s confidential data securely in non-QRS regions of ECG signal
TL;DR: Optimum Location Selection algorithm has been designed to select the embedding locations in non-QRS embedding region while excluding the sensitive QRS region of ECG train.
Proceedings ArticleDOI
Diagnostic quality driven physiological data collection for personal healthcare
TL;DR: A diagnostic quality driven mechanism for remote ECG monitoring is presented, which enables a notation of priorities encoded into the wave segments, which provides accurate inference results while effectively compressing the data.
References
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Journal ArticleDOI
Orthonormal bases of compactly supported wavelets
TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
Journal ArticleDOI
A Technique for High-Performance Data Compression
TL;DR: A new compression algorithm is introduced that is based on principles not found in existing commercial methods in that it dynamically adapts to the redundancy characteristics of the data being compressed, and serves to illustrate system problems inherent in using any compression scheme.
Journal ArticleDOI
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Journal ArticleDOI
ECG data compression techniques-a unified approach
TL;DR: The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.
Journal ArticleDOI
Wavelet and wavelet packet compression of electrocardiograms
TL;DR: Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECGs are clinically useful.