Abstract
In this work it was developed a new method to detect apneas in neonates infants through ECG and oximetry records.
The work has been carried out and evaluated using The Apnea-ECG Database. The developed method analyzes automatically the register of the electrocardiogram and oximeter records and identifies periods of the normal breath and apneic incidents. The base of the proposed method is a system of pattern recognition that identifies the apnea through the analysis based on the domain of the frequency and the time of the ECG signal and the time domain of the oximeter signal. The method was evaluated using a crossed validation with 10 iterations and presents an error of 4.77 %. There is a specificity of 95.78% and a sensibility of 94.61% obtained.
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Pais, C.M., Arévalo González, S. (2017). A New Method to Detect Apneas in Neonates. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_59
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DOI: https://doi.org/10.1007/978-3-319-66963-2_59
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