A proposal of an ecosystem based on intelligent ICT tools to support the diagnosis and intervention of patients with communication disorders
Main Article Content
Abstract
The early intervention on People With Communication Disabilities (PWCD) is a fundamental strategy that has the aim of improving several skills related with speech, language, and swallowing. However, the existent tools are focused on the diagnosis or treatment of specific disorders, and commonly, they do not cover the different needs of people that provides rehabilitation, healthcare and educational services for patients (doctors, pathologists, and patient's relatives). On those grounds, in this paper we present a general overview of existing tools for diagnosis and intervention of PWCD, and on this basis, we propose an ecosystem that implements intelligent ICT tools and an expert system able to automatically generate therapy plans. The expert system has been previously evaluated and has reached encouraging results.
Keywords
speech-language therapy, expert system, ICT tools Terapia del lenguaje, systema experto, TIC.
References
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[14] Alamoudi, A., Almozaini, M., Alabdulrahman, R., Alkoblan, S., Drine, S. & Al-Wabil, A. (2013). Interactive Serious Gaming for Children with Auditory Processing Difficulties in the Arabic Language. In HCI International 2013-Posters’ Extended Abstracts, Springer Berlin Heidelberg.
[15] Sharma, S., Ward, E. C., Burns, C., Theodoros, D., & Russell, T. (2013). Assessing dysphagia via telerehabilitation: Patient perceptions and satisfaction. International journal of speech-language pathology, 15(2), 176-183.
[16] Yeh, Y. L., Hou, T. H., & Chang, W. Y. (2012). An intelligent model for the classification of children’s occupational therapy problems. Expert Systems with Applications, 39(5), 5233-5242.
[17] Ward, E. C., Burns, C. L., Theodoros, D. G., & Russell, T. G. (2014). Impact of dysphagia severity on clinical decision making via telerehabilitation. Telemedicine and e-Health.
[18] Miller, T., Deary, V. & Patterson, Jo. (2014). Improving access to psychological therapies in voice disorders: a cognitive behavioural therapy model. Current opinion in otolaryngology & head and neck surgery, 22(3), 201-205.
[19] Ooi, Y. P., Raja, M., Sung, S. C., Fung, D. S., & Koh, J. B. (2012). Application of a web-based cognitive-behavioural therapy programme for the treatment of selective mutism in Singapore: a case series study. Singapore medical journal, 53(7), 446-450.
[20] Bunnell, B. E., & Beidel, D. C. (2013). Incorporating Technology Into the Treatment of a 17-Year-Old Female With Selective Mutism. Clinical Case Studies, 12(4), 291-306.
[21] American Speech-Language-Hearing Association (ASHA) (2014). International Classification of Diseases, Tenth Revision - Clinical Modification, Related to Speech, Language, and Swallowing Disorders. (ICD_10_CM). Retrieved October 4, 2014 from: http://www.asha.org.
[22] Robles-Bykbaev, V. E., López-Nores, M., Pazos-Arias, J. J., & Arévalo-Lucero, D. (2015). SPELTA: An expert system to generate therapy plans for speech and language disorders. Expert Systems with Applications, 42(21), 7641-7651.
[2] Teodoro, G., Martin, N., Keshner, E., Shi, J.Y. & Rudnicky, A. (2013). Virtual clinicians for the treatment of aphasia and speech disorders. 10th International Conference on Virtual Rehabilitation (ICVR), 158-159.
[3] Hogrefe, K., Ziegler, W., Wiesmayer, S., Weidinger, N. & Goldenberg, G. (2013). The actual and potential use of gestures for communication in aphasia. Aphasiology, 27(9), 1070-1089.
[4] Sekine, K., & Rose, M. L. (2013). The relationship of aphasia type and gesture production in people with aphasia. American Journal of Speech-Language Pathology, 22(4), 662-672.
[5] Marshall, J., Roper, A., Galliers, J., Wilson, S., Cocks, N., Muscroft, S. & Pring, T. (2013). Computer delivery of gesture therapy for people with severe aphasia. Aphasiology, 27(9), 1128-1146.
[6] Davis, L. A., & Stanton, S. T. (2005). Semantic feature analysis as a functional therapy tool. Contemporary Issues in Communication Science and Disorders, 32, 85-92.
[7] Higgins, C., Kearns, A. & Franklin, S. (2012). The development of a semantic feature analysis based mobile application for individuals with aphasia. In Proceedings of the 10th international conference on Mobile systems, applications, and services, 513-514.
[8] Schipor, O. A., Pentiuc, S. G. & Schipor, M. D. (2012). Automatic Assessment of Pronunciation Quality of Children within Assisted Speech Therapy. Electronics & Electrical Engineering, 15-18.
[9] Saz, O., Yin, S., Lleida, E., Rose, R., Vaquero, C. & Rodriguez, W. (2009). Tools and technologies for computer-aided speech and language therapy. Speech Communication, 51(10), 948-967.
[10] Caballero-Morales, S. O., & Trujillo-Romero, F. (2014). Evolutionary approach for integration of multiple pronunciation patterns for enhancement of dysarthric speech recognition. Expert Systems with Applications, 41(3), 841-852.
[11] Schipor, O., Pentiuc, S. & Schipor, M.D. (2010). Improving Computer Based Speech Therapy Using a Fuzzy Expert System. Computing & Informatics, 29(2).
[12] Verikas, A., Bacauskiene, M., Gelzinis, A., Vaiciukynas, E., & Uloza, V. (2012). Questionnaire-versus voice-based screening for laryngeal disorders. Expert Systems with Applications, 39(6), 6254-6262.
[13] Loaiza, D., Oviedo, C., Castillo, A., Portilla, A., Alvarez, G., Linares, D. & Navarro, A. (2013). A Video Game Prototype for Speech Rehabilitation. International Conference In Games and Virtual Worlds for Serious Applications (VS-GAMES), 1-4.
[14] Alamoudi, A., Almozaini, M., Alabdulrahman, R., Alkoblan, S., Drine, S. & Al-Wabil, A. (2013). Interactive Serious Gaming for Children with Auditory Processing Difficulties in the Arabic Language. In HCI International 2013-Posters’ Extended Abstracts, Springer Berlin Heidelberg.
[15] Sharma, S., Ward, E. C., Burns, C., Theodoros, D., & Russell, T. (2013). Assessing dysphagia via telerehabilitation: Patient perceptions and satisfaction. International journal of speech-language pathology, 15(2), 176-183.
[16] Yeh, Y. L., Hou, T. H., & Chang, W. Y. (2012). An intelligent model for the classification of children’s occupational therapy problems. Expert Systems with Applications, 39(5), 5233-5242.
[17] Ward, E. C., Burns, C. L., Theodoros, D. G., & Russell, T. G. (2014). Impact of dysphagia severity on clinical decision making via telerehabilitation. Telemedicine and e-Health.
[18] Miller, T., Deary, V. & Patterson, Jo. (2014). Improving access to psychological therapies in voice disorders: a cognitive behavioural therapy model. Current opinion in otolaryngology & head and neck surgery, 22(3), 201-205.
[19] Ooi, Y. P., Raja, M., Sung, S. C., Fung, D. S., & Koh, J. B. (2012). Application of a web-based cognitive-behavioural therapy programme for the treatment of selective mutism in Singapore: a case series study. Singapore medical journal, 53(7), 446-450.
[20] Bunnell, B. E., & Beidel, D. C. (2013). Incorporating Technology Into the Treatment of a 17-Year-Old Female With Selective Mutism. Clinical Case Studies, 12(4), 291-306.
[21] American Speech-Language-Hearing Association (ASHA) (2014). International Classification of Diseases, Tenth Revision - Clinical Modification, Related to Speech, Language, and Swallowing Disorders. (ICD_10_CM). Retrieved October 4, 2014 from: http://www.asha.org.
[22] Robles-Bykbaev, V. E., López-Nores, M., Pazos-Arias, J. J., & Arévalo-Lucero, D. (2015). SPELTA: An expert system to generate therapy plans for speech and language disorders. Expert Systems with Applications, 42(21), 7641-7651.
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Published
Jan 4, 2016
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Section
Scientific Paper