Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals

Kulyabin M, Zhdanov A, Dolganov A, Maier A (2023)

Publication Type: Journal article, Online publication

Publication year: 2023

Journal

Sensors MDPI

DOI: 10.3390/s23135813

Open Access Link: https://www.mdpi.com/1424-8220/23/13/5813

Authors with CRIS profile

Mikhail Kulyabin Lehrstuhl für Informatik 5 (Mustererkennung) Aleksei Zhdanov Machine Learning and Data Analytics Lab Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Ural Federal University B.N. Yeltsin RU Russian Federation (RU)

How to cite

APA:

Kulyabin, M., Zhdanov, A., Dolganov, A., & Maier, A. (2023). Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals. Sensors. https://dx.doi.org/10.3390/s23135813

MLA:

Kulyabin, Mikhail, et al. "Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals." Sensors (2023).

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