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• W2914509834 abstract "An electrocardiogram (ECG) is an electrical record of heart activity. ECG compression is the biggest concern for many applications in the biomedical community. ECG lossless compression (ECG LC) is data recovery for diagnostic and analysis purposes. The aim here develops an efficient algorithm ECG LC. This algorithm uses the transform based on wavelet followed by the arithmetic coding (AC) on the residual. The parameters of performance measurement for the ECG signal such as CR (Compression Ratio), PRD (Percent Root mean square Distortion). The proposed algorithm achieves high compression ratios compared to other compressing algorithms. Outcomes display that this algorithm works well for various kinds of patient recordings and is even able to provide lossless compression for event-related potentials. According the outcomes, the higher CR. The highest CR is obtained is 75.5, and the lowest PRD is obtained is 0.18 according to the patient records that have the highest CR." @default.
• W2914509834 created "2019-02-21" @default.
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• W2914509834 date "2018-11-01" @default.
• W2914509834 modified "2023-10-18" @default.
• W2914509834 title "A Proposed Technique Based on Wavelet Transform for Electrocardiogram Signal Compression" @default.
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• W2914509834 doi "https://doi.org/10.1109/aicis.2018.00049" @default.
• W2914509834 hasPublicationYear "2018" @default.
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