Patent
Reversible electroencephalogram analysis method
Wei Shanbi,Chai Yi,Tang Jian,Luo Yu,Chen Chun,Deng Ping +5 more
- 09 Sep 2015
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TL;DR: In this paper, a new electroencephalogram analysis method was proposed for definite diagnosis making of clinical experience, the human brain state stage can be judged, and difficulties of electroencephalogram accurate quantitative analysis are avoided; meanwhile, reverse analysis on quantitative analysis results can be carried out, verification with the clinical medicine experience is finally achieved, and more scientific conclusions are obtained.
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Abstract: In recent years, a great advancement on the electroencephalogram detection and classification feature extraction technology is obtained, various behavior activities of a person are detected from epilepsy morbidities, in a traditional mode, an electroencephalogram is used for authority brain disease studying and definite diagnosis making, and a classification data resource is used for judging human thinking activities and limb, face and eye activities at present; analysis of the electroencephalogram is more and more important in the fields. The invention provides a new electroencephalogram analysis method; and through analysis on the electroencephalogram, on the basis that the classification accuracy is guaranteed, the reversible analysis method is provided. The method can be finally used for definite diagnosis making of clinical experience, the human brain state stage can be judged, and difficulties of electroencephalogram accurate quantitative analysis are avoided; meanwhile, reverse analysis on quantitative analysis results can be carried out, verification with the clinical medicine experience is finally achieved, and more scientific conclusions are obtained
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Patent
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Ivan Osorio
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TL;DR: In this paper, a method for identifying changes in an epilepsy patient's disease state, comprising of a classification analysis of the plurality of seizure events from the at least one seizure metric value for each seizure event, and the detection of an additional seizure event from the determined index, was presented.
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Patent
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Patent
Fatigue driving electroencephalogram signal feature extraction and identification method
Qu Jianfeng,Chai Yi,Ke Zhang,Hao Ren,Fu Kai +4 more
- 16 Jul 2014
TL;DR: In this paper, an LMS self-adaptive filtering algorithm of a fractional order Fourier domain is used for carrying out filtering on electroencephalogram signals, and feature extraction and identification are carried out on the electroencephalalograms signals through rapid Fourier conversion.
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Patent
A system and method for monitoring mental fatigue
Xiaoping Li,Xinbo Qian,Wu Chun Ng,Ning Ning,Kaiquan Shen +4 more
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