Journal ArticleDOI
ECG data compression techniques-a unified approach
Reads0
Chats0
TLDR
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.Abstract:
Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG data compression schemes are presented in two major groups: direct data compression and transformation methods. The direct data compression techniques are ECG differential pulse code modulation (DPCM) and entropy coding, AZTEC, Turning-point, CORTES, Fan and SAPA algorithms, peak-picking, and cycle-to-cycle compression methods. The transformation methods include Fourier, Walsh, and Karhunen-Loeve transforms. 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. A framework for evaluation and comparison of ECG compression schemes is presented. >read more
Citations
More filters
Proceedings ArticleDOI
Comparison of different algorithms for ECG signal compression based on transfer coding
Hamidreza Saberkari,Mousa Shamsi +1 more
TL;DR: Investigation of different algorithms in ECG signal compression, which comprise compression in frequency domain using four transforms; Discrete Cosine Transform, Fast Fourier Transform, Discrete Sine transform, DST and DCT-II, finds that DST has the least amount of CR whereas D CT-II has the most.
Proceedings ArticleDOI
A study on encoding of position information using predictive algorithms in inter-vehicle communications
Y. Goto,Takaaki Hasegawa +1 more
TL;DR: This paper estimates the decoded errors caused by transmission errors, when position information obtained from a positioning system is transmitted, in inter-vehicle communications (IVC).
Proceedings ArticleDOI
ECG Reduction for Wearable Sensor
TL;DR: This paper describes a computationally naïve, yet effective, algorithm that achieves high ECG reduction rates while maintaining key diagnostic features including PR, QRS, ST, QT and RR intervals.
Proceedings ArticleDOI
Compressed sensing based ECG signal compression for telemedicine
Ranjeet Kumar,Anil Kumar +1 more
TL;DR: Simulated results have achieved 75% of compression with very good quality of reconstruction, therefore, it's clearly illustrate the proposed technique is gives grate efficiency as per aim of work and comparatively efficient than stat-of-art techniques.
Journal ArticleDOI
Advanced Two-State Compressing Algorithm: A Versatile, Reliable and Low-Cost Computational Method for ECG Wireless Applications
TL;DR: The results obtained were positive with low PRD, PRDN and PMAE at different compression ratios compared to many other loss-type compressing methods, proving the high efficiency of the proposed algorithm.
References
More filters
Journal ArticleDOI
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Journal ArticleDOI
A Method for the Construction of Minimum-Redundancy Codes
TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.
Journal ArticleDOI
Linear prediction: A tutorial review
TL;DR: This paper gives an exposition of linear prediction in the analysis of discrete signals as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal.
Journal ArticleDOI
Arithmetic coding for data compression
TL;DR: The state of the art in data compression is arithmetic coding, not the better-known Huffman method, which gives greater compression, is faster for adaptive models, and clearly separates the model from the channel encoding.
Proceedings ArticleDOI
Orthogonal transforms for digital signal processing
K. R. Rao,N. U. Ahmed +1 more
TL;DR: The utility and effectiveness of these transforms are evaluated in terms of some standard performance criteria such as computational complexity, variance distribution, mean-square error, correlated rms error, rate distortion, data compression, classification error, and digital hardware realization.