Yusely Ruiz - Academia.edu (original) (raw)
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Università degli Studi di Milano - State University of Milan (Italy)
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Lecture Notes in Computer Science, 2013
The goal of this research is to use a bionic model to enhance classification of Dysarthria. The m... more The goal of this research is to use a bionic model to enhance classification of Dysarthria. The model based on the main features of the mammalian olfactory system is the initial stage of the recognition process. The bionic model aimed to achieve an enhancement in the separation ability of the dysarthric features. The recognition performance obtained by four different pattern recognition algorithms using the bionic model to improve the features is shown and discussed. The results indicated that bionic model had clear influence on classification performance of well-known techniques using dysarthria database as case study. We regard the results of this study as a promising initial step to the use of bionic model as a recognition improvement function.
Experimental evidence proposes that complex cognitive functions and behavioral acts are arranged ... more Experimental evidence proposes that complex cognitive functions and behavioral acts are arranged at global levels in the brain and they come up from synchronized operation of localize brain areas. Within this synchronized spatial domain (frame), the content of the subjective percept is encoded as a spatial pattern of amplitude. Stable frames have been study using cone fitting to the phase structure obtained by Hilbert transform. Due to cone fitting is a high time consuming tool a new method, simple and quick, to detect stable frames is presented. Comparison of both methods are carried out showing a high level of coincidence, in time, of the frames detected by the cone fitting method and the new method, also patterns can be clearly distinguishable using the new method
Advances in Cognitive Neurodynamics (II), 2010
Digital Signal Processing, 2012
copy is furnished to the author for internal non-commercial research and education use, including... more copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit:
Advances in Cognitive …, 2010
Phase Resetting on Scalp EEG, Study on Its Synchrony and Distribution Yusely Ruiz, Susan Pockett,... more Phase Resetting on Scalp EEG, Study on Its Synchrony and Distribution Yusely Ruiz, Susan Pockett, Walter J. Freeman, Eduardo González1 and Guang Li Abstract A 64 electrode cap was used to record the EEG from 6 subjects. The Hilbert transform was used to estimate the ...
Lecture Notes in Computer Science, 2013
The goal of this research is to use a bionic model to enhance classification of Dysarthria. The m... more The goal of this research is to use a bionic model to enhance classification of Dysarthria. The model based on the main features of the mammalian olfactory system is the initial stage of the recognition process. The bionic model aimed to achieve an enhancement in the separation ability of the dysarthric features. The recognition performance obtained by four different pattern recognition algorithms using the bionic model to improve the features is shown and discussed. The results indicated that bionic model had clear influence on classification performance of well-known techniques using dysarthria database as case study. We regard the results of this study as a promising initial step to the use of bionic model as a recognition improvement function.
Experimental evidence proposes that complex cognitive functions and behavioral acts are arranged ... more Experimental evidence proposes that complex cognitive functions and behavioral acts are arranged at global levels in the brain and they come up from synchronized operation of localize brain areas. Within this synchronized spatial domain (frame), the content of the subjective percept is encoded as a spatial pattern of amplitude. Stable frames have been study using cone fitting to the phase structure obtained by Hilbert transform. Due to cone fitting is a high time consuming tool a new method, simple and quick, to detect stable frames is presented. Comparison of both methods are carried out showing a high level of coincidence, in time, of the frames detected by the cone fitting method and the new method, also patterns can be clearly distinguishable using the new method
Advances in Cognitive Neurodynamics (II), 2010
Digital Signal Processing, 2012
copy is furnished to the author for internal non-commercial research and education use, including... more copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit:
Advances in Cognitive …, 2010
Phase Resetting on Scalp EEG, Study on Its Synchrony and Distribution Yusely Ruiz, Susan Pockett,... more Phase Resetting on Scalp EEG, Study on Its Synchrony and Distribution Yusely Ruiz, Susan Pockett, Walter J. Freeman, Eduardo González1 and Guang Li Abstract A 64 electrode cap was used to record the EEG from 6 subjects. The Hilbert transform was used to estimate the ...