A newly developed morphological method can effectively digitize paper-based ECG records, facilitating easier data storage, retrieval, and exchange among healthcare providers.
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Enables retrospective digitization of legacy paper ECGs for modern electronic health records; leaves open whether this.
The capacity of electrocardiograms (ECG) recorded in hospital is increasing. Although modern electrocardiographs have digital output, most of ECG's are still recorded on grid papers. Recently, exchanging patients' clinical information between healthcare facilities has become very important. It will be very helpful if paper type of ECG could be converted to digital form. In this study, a morphological method is developed to digitize ECG signal from the paper charts. The results show that the method can erase the background noise and provide the digital ECG signal from ECG paper charts correctly. ECG signal digitization is practically used in ECG data exchanging between healthcare providers. Experimental results on sample ECG paper records are very encouraging and show the promise of efficiency in ECG data storage and retrieval and easy manipulation for clinical uses.
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Hla Myo Tun (2017) studied this question.
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