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Detecting Heart Arrhythmia Syndrome in Multi-Channel Electrocardiograms Using 1D and 2D Deep-Learning Methods

Boersma, Jussi (2022) Detecting Heart Arrhythmia Syndrome in Multi-Channel Electrocardiograms Using 1D and 2D Deep-Learning Methods. Master's Thesis / Essay, Artificial Intelligence.

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Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Schomaker, L.R.B.
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 27 Jun 2022 12:57
Last Modified: 27 Jun 2022 12:57
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/27433

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