Abstract
An important problem in the clinical use of ambulatory ECG monitoring is the analysis of recordings. There is a need for efficient and reliable algorithms for ECG waveform analysis and classification for large computer systems used at research laboratories and at commercial ECG scanning services. Furthermore, efficient algorithms are required in portable solid state recorders for preprocessing the ECG due to the limited storage capacity. A systematic comparison of efficiency and clinical utility of the most widely publicized algorithms has not yet been performed and it is unknown which principle for classification is most well suited for practical use, with noise and artefact-filled recordings. Such comparative evaluations of algorithms will be required before they are used in microprocessor-based portable equipment.
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Damgaard Andersen, J., Gymoese, E. (1984). Algorithms for ECG Waveform Analysis and Classification. In: Marchesi, C. (eds) Ambulatory Monitoring. Developments in Cardiovascular Medicine, vol 37. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6012-1_24
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DOI: https://doi.org/10.1007/978-94-009-6012-1_24
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