Compression of ECG signal using video codec technology-like scheme
Dihu Chen,Sheng Yang +1 more
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In this paper, a method using video codec technology to compress ECG signals was presented, which exploits both intra-beat and inter-beat correlations of the ECG signal to achieve high compression ratios and a low percent root mean square difference (PRD).Abstract:
In this paper, we present a method using video codec technology to compress ECG signals. This method exploits both intra-beat and inter-beat correlations of the ECG signals to achieve high compression ratios (CR) and a low percent root mean square difference (PRD). Since ECG signals have both intra-beat and inter-beat redundancies like video signals, which have both intra-frame and inter-frame correlation, video codec technology can be used for ECG compression. In order to do this, some pre-process will be needed. The ECG signals should firstly be segmented and normalized to a sequence of beat cycles with the same length, and then these beat cycles can be treated as picture frames and compressed with video codec technology. We have used records from MIT-BIH arrhythmia database to evaluate our algorithm. Results show that, besides compression efficiently, this algorithm has the advantages of resolution adjustable, random access and flexibility for irregular period and QRS false detection.read more
Citations
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Proceedings ArticleDOI
An efficient compression system for ECG signal using QRS periods and CAB technique based on 2D DWT and Huffman coding
TL;DR: A ECG compression system is presented based on two-dimensional discrete wavelet transform (2D DWT) and Huffman coding technique and the average compression performance of algorithm is 65% with 0.999 correlation score.
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A Remote Healthcare Monitoring System for Faster Identification of Cardiac Abnormalities from Compressed ECG Using Advanced Data Mining Approach
TL;DR: A remote health-monitoring service that provides an end-to-end solution that recognizes different CVDs from the compressed ECG and performs real-time classification of Cardiac Vascular Disease based on data mining techniques.
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ECG compression using Slantlet and lifting wavelet transform with and without normalisation
TL;DR: The results show that the compression ratio in case of LWT with normalisation is improved as compared to that without normalisation and the LWT gives the best result asCompared to SLT evaluated in this article.
Proceedings ArticleDOI
ECG signal compression algorithm based on joint-multiresolution analysis (J-MRA)
Ranjeet Kumar,Anil Kumar +1 more
TL;DR: The simulation results show that the proposed method achieves high compression ratio at relatively low distortion in comparison with other methods, and can clearly demonstrate the algorithm efficiency towards to save a great amount of storage space, bandwidth and power consumption especially in data transmission for tele-health care or m- health care systems.
Proceedings ArticleDOI
Dual tree DWT analysis based electrocardiogram signal compression using zero coding technique
Ranjeet Kumar,Anil Kumar +1 more
TL;DR: Dual tree discrete wavelet decomposition based ECG signal compression is exploited using zero run-length coding techniques, with main advancement, its sensitivity of generating sparse data set that helps to enhance compression performance of system.
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