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Journal ArticleDOI

A wavelet transform-based ECG compression method guaranteeing desired signal quality

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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.

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Citations
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Two-channel non-interactive multi-level key establishment for bundle security protocol of delay/disruption tolerant networks (dtns)

M. Srimathi
TL;DR: A time-evolving topology model and two-channel cryptography is formulated to design well-organized and non-interactive multilevel key exchange protocol for Bundle Protocol and reveals the security and provides enhancement in peculiarities, problems and opportunities a DTN network maintenance.
Journal Article

A New Technique for Progressive ECG Transmission using Discrete Radon Transform

TL;DR: A new method which can be used for progressive transmission of electrocardiogram (ECG) using a discrete version of Radon Transform (DRT), which leads to transmit the most significant energy of the transformed image in Radon domain.
Book ChapterDOI

Robust Steganography in Non-QRS Regions of 2D ECG for Securing Patients' Confidential Information in E-Healthcare Paradigm

TL;DR: This chapter is focused on steganography-based data hiding technique for ECG signal in which the selected ECG samples of non-QRS region are explored to embed the secret information.
Proceedings ArticleDOI

Towards a Physiologically-Aware Architecture for Transmission of Biomedical Signals in BASNs/IoT

TL;DR: A novel physiologically-aware communication architecture to address challenges for wearable IoT/BASNs for e-Health applications is presented and energy savings are demonstrated by a factor of 30 with a reduction in biomedical data volume while preserving clinical features.
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

Welch
- 01 Jun 1984 - 
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

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.
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