O
Oliver Faust
Researcher at Sheffield Hallam University
Publications - 122
Citations - 5427
Oliver Faust is an academic researcher from Sheffield Hallam University. The author has contributed to research in topics: Support vector machine & Computer science. The author has an hindex of 31, co-authored 109 publications receiving 3946 citations. Previous affiliations of Oliver Faust include Ngee Ann Polytechnic & University of Aberdeen.
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Deep learning for healthcare applications based on physiological signals: A review.
TL;DR: This review paper depicts the application of various deep learning algorithms used till recently, but in future it will be used for more healthcare areas to improve the quality of diagnosis.
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Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis.
TL;DR: A multiparadigm approach based on the integration of wavelets, nonlinear dynamics and chaos theory, and neural networks advanced by Adeli and associates is the most effective method for automated EEG-based diagnosis of epilepsy.
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Non-linear analysis of EEG signals at various sleep stages
TL;DR: Sleep stages and sustained fluctuations of autonomic functions such as temperature, blood pressure, electroencephalogram (EEG), etc., can be described as a chaotic process and EEG signals, extracted and analyzed using computers, are highly useful in diagnostics.
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Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review
TL;DR: Algorithm used for the extraction of features of diabetic retinopathy from digital fundus images, such as blood vessel area, exudes, hemorrhages, microaneurysms and texture are reviewed.
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Automated detection of atrial fibrillation using long short-term memory network with RR interval signals
TL;DR: The proposed Computer-Aided Diagnosis (CAD) system can be used for long-term monitoring of the human heart and is the first to incorporate deep learning for AF beat detection.