In this paper, multilead electrocardiogram (MECG) data compression using singular value decomposition in multiresolution domain is proposed.

In this paper, a new compression method based on Higher-Order Singular Value Decomposition (HOSVD) for multilead electrocardiogram (MECG) data is proposed.

In this paper, a new compression method based on Higher-Order Singular Value Decomposition (HOSVD) for multilead electrocardiogram (MECG) data is proposed.

Simulations show that there are significant improvements in compression ratio (CR) compared to existing ECG compression methods available in the literature ...

In this paper, multilead electrocardiogram (MECG) data compression using singular value decomposition in multiresolution domain is proposed.

A new method for the detection of T wave alternans in multichannel ECG signals is introduced and results suggest that tensors are an effective way of detecting ...

A New Multilead ECG Data Compression Method Using Higher-Order Singular Value Decomposition. S Padhy, S Dandapat. NCC 2014, 1-4, 2014. 9, 2014. Tensor-based ECG ...

The higher-order singular value decomposition is used to decompose the tensor data. In addition, multiscale analysis has been added for effective care of ECG ...

In this article, a quality controlled compression of multilead electrocardiogram (MECG) is proposed, based on tensor analysis, and implemented upon 3D beat ...

In this paper a novel algorithm is used for compressing ECG data. The algorithm uses two techniques simultaneously to get a better compression of ECG data.