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A linear transformations-based compression approach combining PCA and DCT achieved a compression ratio ranging from 3 to 7 with acceptable quality of the restored multi-lead ECG signals.
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A combination of PCA and DCT provides a compression ratio of 3 to 7 for multi-lead ECG signals with acceptable restoration quality.
This paper presents an approach for linear transformations-based compression of multi-lead electrocardiogram signals. It combines principal component analysis for dimensionality reduction among leads and discrete cosine transform applied on each retained principal component. The transformed data are quantized and encoded using arithmetic encoding. This approach is not bounded to any beat detection algorithm and the logical operations are minimized at the expense of arithmetic ones. The achieved compression ratio ranges from 3 to 7 with acceptable quality of the restored signals.
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Yuliyan Velchev (2019) studied multi-lead electrocardiogram signals. Linear transformations-based compression combining PCA and DCT was evaluated on Compression ratio. A linear transformations-based compression approach combining PCA and DCT achieved a compression ratio ranging from 3 to 7 with acceptable quality of the restored multi-lead ECG signals.
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