Lossy ECG compression using different approximation algorithms

Lossy ECG compression using different approximation algorithms

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The ECG signal is an important source of information in medical diagnostics, which helps to discover the patient’s health. There are lot of cases, where a long ECG data record (monitoring) is required for the next processing. These specialized devices are called as holters. For example the 24 hours ECG signal is saved to flash-ROM memory, which is available for a diagnostics with a doctor. The goal of the presented paper is the maximum data reduction needed for the ECG recording. Thus the hardware demand for the holter and time for the data transfer are reducing, too. The second case is important in the case of telemedicine (using modems).

The ECG signal is an important source of information in medical diagnostics, which helps to discover the patient’s health. There are lot of cases, where a long ECG data record (monitoring) is required for the next processing. These specialized devices are called as holters. For example the 24 hours ECG signal is saved to flash-ROM memory, which is available for a diagnostics with a doctor. The goal of the presented paper is the maximum data reduction needed for the ECG recording. Thus the hardware demand for the holter and time for the data transfer are reducing, too. The second case is important in the case of telemedicine (using modems).

compression,ECG,telemedicine

ZELINKA, L., SZABÓ, Z.

2011

24.05.2001

POSTER 2001, Book of Extended abstracts

E34

2