Hussain et al., 2020 - Google Patents
Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniquesHussain et al., 2020
View PDF- Document ID
- 6055614196655490545
- Author
- Hussain L
- Aziz W
- Saeed S
- Awan I
- Abbasi A
- Maroof N
- Publication year
- Publication venue
- Waves in Random and Complex Media
External Links
Snippet
Cardiac arrhythmias are disturbances in the rhythm of the heart manifested by irregularity or by abnormally fast rates ('tachycardia') or abnormally slow rates ('bradycardias'). In the past researchers extracted different features extracting strategies to detect the arrhythmia. Since …
- 206010007521 Cardiac arrhythmias 0 title abstract description 103
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- 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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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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