May 1, 1999

ECG data compression using cut and align beats approach and 2-D transforms

Structured PICO

Does a 2-D transform data compression method improve compression ratio compared to one-dimensional methods for ECG signals?

Population

ECG signals from the MIT-BIH arrhythmia and Medtronic databases

Intervention

Two-dimensional (2-D) transform data compression method (cut and align beats approach, e.g., 2-D discrete cosine transform)

Comparator

One-dimensional compression methods

Outcome

Compression ratio for comparable percent root-mean-square difference (PRD)

A 2-D transform approach to ECG data compression significantly improves compression ratios compared to traditional 1-D methods.

Abstract

A new electrocardiogram (ECG) data compression method is presented which employs a two dimensional (2-D) transform. This 2-D transform method utilizes the fact that ECG signals generally show two types of redundancies--between adjacent heartbeats and between adjacent samples. A heartbeat data sequence is cut and beat-aligned to form a 2-D data array. Any 2-D compression method can then be applied. Transform coding using the 2-D discrete cosine transform (DCT) 2-D DCT is employed here as an example. Using selections from the MIT-BIH arrhythmia and Medtronic databases, results are presented that illustrate substantial improvement in compression ratio over one-dimensional methods for comparable percent root-mean-square difference (PRD).

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