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A new hybrid modeling methodology to support medical diagnosis decisions is developed here. It extends previous work on competitive fuzzy cognitive maps for medical diagnosis support systems by complementing them with genetic algorithms methods for concept interaction. The synergy of these methodologies is accomplished by a new proposed algorithm that leads to more dependable advanced medical diagnosis...
This paper introduces a novel approach based on signal processing methods to extract features from speech signals and based on them to detect a specific type of articulation disorders. Articulation, in effect, is the specific and characteristic way that an individual produces the speech sounds. Empirical Mode Decomposition and the Hilbert Huang transform are applied to the speech signal in order to...
A technique for the visualization of stochastic population-based algorithms in multidimensional problems with known global minimizers is proposed. The technique employs projections of the populations in the 2-dimensional vector space spanned by the two extremal eigenvectors of the Hessian matrix of the objective function at a global minimizer. This space condenses information regarding the shape of...
This paper presents a new hybrid modeling methodology for the complex decision making processes. It extends previous work on competitive fuzzy cognitive maps for medical decision support systems by complementing them with genetic algorithms methods. The synergy of these methodologies is accomplished by a new proposed algorithm that leads to more dependable advanced medical decision support systems...
This paper proposes a novel integrated methodology to extract features and classify speech sounds with intent to detect the possible existence of a speech articulation disorder in a speaker. Articulation, in effect, is the specific and characteristic way that an individual produces the speech sounds. A methodology to process the speech signal, extract features and finally classify the signal and detect...
This paper presents a novel soft computing system for differential diagnosis of the dysarthrias and apraxia of speech based on well accepted dysarthrias' classification system used by speech and language pathologists. The dysarthrias and apraxia are complex disorders of speech because they represent a variety of neurological disturbances that can potentially affect every component of speech production...
The use of telemedicine in speech and language pathology provides patients in rural and remote areas with access to quality rehabilitation services that are sufficient, accessible, and user-friendly leading to new possibilities in comprehensive and long-term, cost-effective diagnosis and therapy. This paper discusses the use of online collaboration environments for various telemedicine applications...
An IR/RF wireless transmission system is described with emphasis placed on a PSK circuit common to all output sections. The system is capable of achieving communication in relatively small rooms with infra-red (IR) radiation, in large rooms and corridors with RF transmission (125 MHz) and outside communication with higher RF frequencies (668 MHz).
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