Abstract
This paper presents the development and evaluation of an algorithm for compressing fetal electrocardiographic signals, taken superficially on the mother’s abdomen. This method for acquiring ECG signals produces a great volumen of information that makes it difficult for the records to be stored and transmitted. The proposed algorithm aims for lossless compression of the signal by applying Wavelet Packet Transform to keep errors below the unit, with compression rates over 20:1 and with conserved energy in reconstruction as comparison parameter. For algorithm validation, the signal files provided by PhysioBank DataBase are used.
Author supplied keywords
Cite
CITATION STYLE
Jiménez, G., Collazos Morales, C. A., De-la-Hoz-Franco, E., Ariza-Colpas, P., González, R. E. R., & Maldonado-Franco, A. (2020). Wavelet Transform Selection Method for Biological Signal Treatment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11886 LNCS, pp. 23–34). Springer. https://doi.org/10.1007/978-3-030-44689-5_3
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
