Browsing by Author "Robles Bykbaev, Vladimir Espartaco"

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Data repository of mobile applications for people with disabilities in the area of communication and language using data mining techniques
(Institute of Electrical and Electronics Engineers Inc., 2018) Quisi Peralta, Diego Fernando; Robles Bykbaev, Vladimir Espartaco; Saquicela Galarza, Víctor Hugo; López Nores, Martín
According to National Council of Disabilities (CONADIS) currently 425877 persons live in Ecuador with some form of disability. From this group, approximately 1.32% (5,621) people present language difficulties. However, although exist several technological developments, several Ecuadorian centers of special education/rehabilitation there is a lack of adequate support tools based on Information and Communication Technologies (ICT) and intelligent systems. This situation becomes more complicated in the area of speech-language therapy due this area was historically overlooked. For these reasons, in this paper we propose a system to generate a new repository of mobile applications for people with disabilities and language and communication disorders. To achieve this a process that allows mobile applications to automatically collect and through the natural language processing and vector space models generated a degree of belonging to issue search and generate the first mobile application repository will be generated. Our proposal relies on data mining techniques and allows educators as well therapists determining the best apps to support the intervention process of patients with disabilities. To this aim we have developed metrics to compare mobile apps from Google Play Store and IOS. Our proposal was validated with an analysis performed on 6700 mobile apps and the results are encouraging.
Desarrollo de un sistema de información con soporte inteligente para brindar apoyo en el estudio de casos clínicos para estudiantes de fonoaudiología
(2017) Chuchuca Méndez, Fanny Maritza; Robles Bykbaev, Vladimir Espartaco
Nowadays, several countries must address several problems related with lack of personnel, resources or adequate structures to provide healthcare and rehabilitation services for children with disabilities and communication disorders. Some of the latest studies carried out by The World Health Organization (WHO) and other organizations point that in some countries of Africa only exists 1 Speech-Language Therapist (SLT) for each 2-4 million of persons, whereas in developed countries such as USA or Australia there are 1 SLT per each 2500-4700 persons. On those grounds, in this project we propose an educational intelligent environment to train and support the development of professional skills of Speech-Language Therapy students. Our proposed system uses intelligent tools with the aim of creating new patients profiles of children with disabilities and communication disorders. In the same way, the system incorporates a knowledge database based on ontologies. The ontology models several elements of SLT such as communication disorders, disabilities, speech-language screening, among many others. Likewise, our proposal includes a Learning Object (LO) developed with the support of a team of specialists. This LO was incorporated to MOODLE platform and contains several educational modules related with the SLT plans designing. These Information and Communication Technologies (ITCs) allow supporting the learning and training processes of students and professionals of SLT area.
Design of an intelligent system for prediction and simulation of writing in children with spasticity
(AHFE, 2018-10-24) Serpa Andrade, Luis Javier; Gonzalez Delgado, Luis Enrique; Ojeda Zamalloa, Isaac Leonardo; Robles Bykbaev, Vladimir Espartaco; Buñay Andrade, Roman Mauricio
Spasticity is considered a wide spectrum disease that affects all age groups. However, the spasticity in children can have diverse causes, and commonly is present in those patients that have been diagnosed with Infantile Cerebral Palsy. Approximately two thirds of children with ICP present spasticity. On the other hand, traditional writing is a process related with children's cognitive development, and allows creating new neural connections between hands, elbows and shoulders. For those reasons, in this paper we present a proposal that aims predicting writing in children with spasticity, with the objective of supporting the traditional writing learning process.