Key result
Combined lossless and lossy ECG compression achieves a ~23 ratio via SMS without altering clinical morphology.
A combined lossless and lossy compression algorithm enables efficient ECG transmission via SMS with an average compression ratio of ~22.51 while preserving clinical morphology.
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May enable ECG transmission via SMS in low-resource settings; leaves open need for clinical validation of diagnostic fidelity.
This paper presents a software-based scheme for reliable and robust Electrocardiogram (ECG) data compression and its efficient transmission using Second Generation (2G) Global System for Mobile Communication (GSM) based Short Message Service (SMS). To achieve a firm lossless compression in high standard deviating QRS complex regions and an acceptable lossy compression in the rest of the signal, two different algorithms have been used. The combined compression module is such that it outputs only American Standard Code for Information Interchange (ASCII) characters and, hence, SMS service is found to be most suitable for transmitting the compressed signal. At the receiving end, the ECG signal is reconstructed using just the reverse algorithm. The module has been tested to all the 12 leads of different types of ECG signals (healthy and abnormal) collected from the PTB Diagnostic ECG Database. The compression algorithm achieves an average compression ratio of ∼22.51, without any major alteration of clinical morphology.
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Mukhopadhyay et al. (2014) studied ECG signals (healthy and abnormal). Combined lossless and lossy compression algorithm for ECG transmission via GSM-based SMS was evaluated on Average compression ratio. A combined lossless and lossy compression algorithm for ECG data transmission via GSM-based SMS achieved an average compression ratio of ~22.51 without major alteration of clinical morphology.
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