Beritelli et al., 2018 - Google Patents
A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosisBeritelli et al., 2018
View PDF- Document ID
- 9185500923077491419
- Author
- Beritelli F
- Capizzi G
- Sciuto G
- Napoli C
- Woźniak M
- Publication year
- Publication venue
- Neural Networks
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Snippet
In this paper a novel training technique is proposed to offer an efficient solution for neural network training in non-trivial and critical applications such as the diagnosis of health threatening illness. The presented technique aims to enhance the generalization capability …
- 238000003745 diagnosis 0 title abstract description 19
Classifications
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- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/04525—Detecting specific parameters of the electrocardiograph cycle by template matching
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- A—HUMAN NECESSITIES
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- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
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- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/046—Detecting fibrillation
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- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/0468—Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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