Electrocardiographic deviation detection : Using long short-term memory recurrent neural networks to detect deviations within electrocardiographic records
Artificial neural networks have been gaining attention in recent years due to theirimpressive ability to map out complex nonlinear relations within data. In this report,an attempt is made to use a Long short-term memory neural network for detectinganomalies within electrocardiographic records. The h...
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| Format: | Others |
| Language: | English |
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Linnéuniversitetet, Institutionen för datavetenskap (DV)
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76411 |