Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD
Trabajo de Investigación
- Autores:
-
Millán-Castro, Yury Angélica
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Universidad Católica de Colombia
- Repositorio:
- RIUCaC - Repositorio U. Católica
- Idioma:
- spa
- OAI Identifier:
- oai:repository.ucatolica.edu.co:10983/27011
- Acceso en línea:
- https://hdl.handle.net/10983/27011
- Palabra clave:
- INTELIGENCIA ARTIFICIAL
ASD THERAPIES
MACHINE LEARNING
UNSUPERVISED LEARNING MODEL
BIOMETRIC MEASUREMENTS
EEG
- Rights
- openAccess
- License
- Copyright-Universidad Católica de Colombia, 2021
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dc.title.spa.fl_str_mv |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD |
title |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD |
spellingShingle |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD INTELIGENCIA ARTIFICIAL ASD THERAPIES MACHINE LEARNING UNSUPERVISED LEARNING MODEL BIOMETRIC MEASUREMENTS EEG |
title_short |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD |
title_full |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD |
title_fullStr |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD |
title_full_unstemmed |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD |
title_sort |
Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD |
dc.creator.fl_str_mv |
Millán-Castro, Yury Angélica |
dc.contributor.advisor.none.fl_str_mv |
Chaves-Acero, Miryam Liliana Guida, Doménico |
dc.contributor.author.none.fl_str_mv |
Millán-Castro, Yury Angélica |
dc.subject.lemb.none.fl_str_mv |
INTELIGENCIA ARTIFICIAL |
topic |
INTELIGENCIA ARTIFICIAL ASD THERAPIES MACHINE LEARNING UNSUPERVISED LEARNING MODEL BIOMETRIC MEASUREMENTS EEG |
dc.subject.proposal.spa.fl_str_mv |
ASD THERAPIES MACHINE LEARNING UNSUPERVISED LEARNING MODEL BIOMETRIC MEASUREMENTS EEG |
description |
Trabajo de Investigación |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2022-01-31T20:32:24Z |
dc.date.available.none.fl_str_mv |
2022 2022-01-31T20:32:24Z |
dc.date.issued.none.fl_str_mv |
2022 |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_fa2ee174bc00049f http://purl.org/coar/version/c_71e4c1898caa6e32 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.content.spa.fl_str_mv |
Text |
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info:eu-repo/semantics/masterThesis |
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https://purl.org/redcol/resource_type/TM |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.identifier.citation.none.fl_str_mv |
Millán-Castro, Y. A. (2021). Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Maestría en Ingeniería y Gestión de la innovación. Bogotá, Colombia. |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10983/27011 |
identifier_str_mv |
Millán-Castro, Y. A. (2021). Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Maestría en Ingeniería y Gestión de la innovación. Bogotá, Colombia. |
url |
https://hdl.handle.net/10983/27011 |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.references.spa.fl_str_mv |
“Autism spectrum disorders,” World Health Organization. https://www.who.int/news-room/fact-sheets/detail/autism-spectrum-disorders (accessed Apr. 11, 2020). D. de C. Secretaría de Educación del Distrito / Subsecretaría de Acceso y Permanencia, “Atención a población con discapacidad,” pp. 1–3, 2019. “30 Things Parents of Children on the Autism Spectrum Want You to Know - Applied Behavior Analysis Programs Guide.” https://www.appliedbehavioranalysisprograms.com/things-parents-ofchildren-on-the-autism-spectrum-want-you-to-know/ S. M. Myers et al., “Management of children with autism spectrum disorders,” Pediatrics, vol. 120, no. 5. pp. 1162–1182, Nov. 01, 2007, doi: 10.1542/peds.2007-2362. “Concejo de Bogotá D.C. - Los derechos de las personas con autismo.” http://concejodebogota.gov.co/los-derechos-de-las-personas-conautismo/cbogota/2018-04-02/085658.php. “Videos: Autismo: padres de familia cuentan el drama de tener hijos que lo sufren.” https://www.semana.com/vida-moderna/multimedia/autismo-padresde-familia-cuentan-el-drama-de-tener-hijos-que-lo-sufren/499663. M. Rutherford et al., “Improving Efficiency and Quality of the Children’s ASD Diagnostic Pathway: Lessons Learned from Practice,” J. Autism Dev. Disord., vol. 48, no. 5, pp. 1579–1595, May 2018, doi: 10.1007/s10803-017-3415-7. L. A. Dickstein-Fischer, R. H. Pereira, K. Y. Gandomi, A. T. Fathima, and G. S. Fischer, “Interactive tracking for robot-assisted autism therapy,” in ACM/IEEE International Conference on Human-Robot Interaction, Mar. 2017, pp. 107–108, doi: 10.1145/3029798.3038390. Daniel Comín, “Berrinches y crisis de niños con autismo ¿En qué se diferencian? - Autismo Diario,” 2015. https://autismodiario.com/2015/09/19/berrinches-ycrisis-de-ninos-con-autismo-en-que-se-diferencian/ (accessed Oct. 11, 2021). N. I. of M. Health, “NIMH » Autism Spectrum Disorder.” https://www.nimh.nih.gov/health/topics/autism-spectrum-disordersasd/index.shtml (accessed Oct. 31, 2019) Autism Speaks, “CDC increases estimate of autism’s prevalence by 15 percent, to 1 in 59 children | Autism Speaks,” 2018. https://www.autismspeaks.org/science-news/cdc-increases-estimate-autismsprevalence-15-percent-1-59-children (accessed Apr. 11, 2020) Sathe and Nila A, “Therapies for Children With Autism Spectrum Disorder: Behavioral Interventions Update Comparative Effectiveness Review Number 137,” 2014. Accessed: May 31, 2020. [Online]. Available: www.effectivehealthcare.ahrq.gov M. Campbell, E. Schopler, D. Ph, and J. E. Cueva, “Treatment of Autistic Disorder,” J. Am. Acad. Child Adolesc. Psychiatry, vol. 35, no. 2, pp. 134–143, 1996, doi: 10.1097/00004583-199602000-00005. C. for D. C. and P. National Center on Birth Defects and Developmental Disabilities, “Treatment and Intervention Services for Autism Spectrum Disorder | NCBDDD | CDC,” Centers for Disease Control and Prevention, 2019. https://www.cdc.gov/ncbddd/autism/treatment.html (accessed Apr. 09, 2020). S. L. Hyman, S. E. Levy, and S. M. Myers, “CLINICAL REPORT Guidance for the Clinician in Rendering Pediatric Care Executive Summary: Identification, Evaluation, and Management of Children With Autism Spectrum Disorder,” 2020, doi: 10.1542/peds.2019-3448. L. A. Cañon Betancour, A. V. Pérez Gómez, and J. O. Contreras, “Terapias de Análisis de Comportamiento Aplicado ABA, para el tratamiento de personas con diagnóstico de trastornos del espectro autista y trastorno de hiperactividad y déficit de atención,” 2014, Accessed: Oct. 30, 2019. [Online]. Available: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/INEC/IETS /Estudio-Efectividad-Terapias-analisis-comportamiento-aplicado.pdf L. Pratt C., & Steward, “Discrete Trial Teaching: What is it?: Articles: Indiana Resource Center for Autism: Indiana University Bloomington,” 2018. https://www.iidc.indiana.edu/irca/articles/discrete-trial-teaching-what-isit.html L. Klintwall and S. Eikeseth, “Early and Intensive Behavioral Intervention (EIBI) in Autism,” in Comprehensive Guide to Autism, New York, NY: Springer New York, 2014, pp. 117–137. Emi Tanaka, “Savvy Statistics: What’s in a name? The difference between Bioinformatics, Biometrics and Biostatistics,” 2018. https://emitanaka.org/r/posts/2018-12-18-what-is-the-difference-betweenbioinformatics-biometrics-and-biostatistics/ J. R. VACCA, Biometric Technologies and Verification Systems. 2007. S. Guennouni, A. Mansouri, and A. Ahaitouf, “Biometric Systems and Their Applications,” in Visual Impairment and Blindness [Working Title], IntechOpen, 2019. “What is Eye Tracking?” https://www.eyetracking.com/what-is-eye-tracking/ (accessed Apr. 17, 2020). MAYO CLINIC, “Mayo Clinic Books,” 2020. https://www.mayoclinic.org/testsprocedures/eeg/about/pac-20393875 (accessed Apr. 17, 2020). M. C. S. Guzmán Navarro Francisco, Domótica: Gestión de la Energía y Gestión Técnica de Edificios, Primera Ed. Bogota: Ra-Ma Editorial, 2015. J. T. PALMA MENDEZ, Inteligencia artificial: métodos, técnicas y aplicaciones. 2008. E. Alpaydın, “Introduction to Machine Learning,” 2014. P. Ponce Cruz, Inteligencia Artificial. Con Aplicaciones a la Ingeniería, Alfa Omega. 2010. S. H. Chen, A. J. Jakeman, and J. P. Norton, “Artificial Intelligence techniques: An introduction to their use for modelling environmental systems,” Math. Comput. Simul., vol. 78, no. 2–3, pp. 379–400, 2008, doi: 10.1016/j.matcom.2008.01.028 J. L. . Wayman, A. k. . Jain, D. . Maltoni, and D. Maio, Biometric Systems: Technology, Design, and Performance Evaluation. New York: Springer Verlag, 2005. J. C. Ponce, A. Torres, A. S. Sprock, and A. Casali, “Inteligencia Artificial,” no. March, p. 199, 2014, doi: 10.13140/2.1.3720.0960. O. Simeone, “A Brief Introduction to Machine Learning for Engineers,” Found. Trends Signal Process., vol. 12, no. 3–4, pp. 200–431, Sep. 2017. R. P. Díez, A. G. Gómez, and N. D. A. Martínez, Introducción a la inteligencia artificial: sistemas expertos, redes neuronales artificiales y computación evolutiva. Universidad de Oviedo, 2001. M. L. Chaves, L. Sánchez-González, E. Díez, H. Pérez, and A. Vizán, “Experimental assessment of quality in injection parts using a fuzzy system with adaptive membership functions,” Neurocomputing, vol. 391, pp. 334–344, May 2020, doi: 10.1016/j.neucom.2019.06.108. Nagarani Jammu, “Adaptive controller strategies for FACTS devices in a power system to enhance stability,” R. F. López and J. M. F. Fernández, Las Redes Neuronales Artificiales. Netbiblo, 2008. S. H. El-Sappagh and M. Elmogy, “Case Based Reasoning: Case Representation Methodologies,” 2015. doi: 10.14569/ijacsa.2015.061126. I. G. S. and V. C. S., “La visión artificial y los campos de aplicación,” Tierra Infin., vol. 1, no. 1, pp. 94–103, Dec. 2015, Accessed: Sep. 12, 2021. [Online]. Available: https://revistasdigitales.upec.edu.ec/index.php/tierrainfinita/article/view/76. E. Hernández-pereira, “TÉCNICAS DE INTELIGENCIA ARTIFICIAL E INGENIERÍA DEL SOFTWARE PARA UN SISTEMA INTELIGENTE DE MONITORIZACIÓN DE APNEAS EN SUEÑO,” 2014. G. Mani, S. Berkovich, and D. Liao, “Adaptive and Interactive Design Based on Big Data Computational Model for Treating Autism,” pp. 121–122, 2014, doi: 10.1109/com.geo.2014.7 J. Wainer, B. Robins, F. Amirabdollahian, and K. Dautenhahn, “Using the humanoid robot KASPAR to autonomously play triadic games and facilitate collaborative play among children with autism,” IEEE Trans. Auton. Ment. Dev., vol. 6, no. 3, pp. 183–199, 2014, doi: 10.1109/TAMD.2014.2303116. A. Taheri, A. Meghdari, M. Alemi, H. Pouretemad, P. Poorgoldooz, and M. Roohbakhsh, “Social robots and teaching music to autistic children: Myth or reality?,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9979 LNAI, pp. 541–550, doi: 10.1007/978-3-319-47437-3_53. P. V. Motika and D. C. Bergen, “Electroencephalography (EEG),” Encycl. Mov. Disord., pp. 441–444, Jan. 2010, doi: 10.1016/B978-0-12-374105-9.00026-5. M. Seeck et al., “The standardized EEG electrode array of the IFCN,” Clin. Neurophysiol., vol. 128, no. 10, pp. 2070–2077, Oct. 2017, doi: 10.1016/J.CLINPH.2017.06.254. P. A. Abhang, B. W. Gawali, and S. C. Mehrotra, “Technological Basics of EEG Recording and Operation of Apparatus,” Introd. to EEG- Speech-Based Emot. Recognit., pp. 19–50, Jan. 2016, doi: 10.1016/B978-0-12-804490-2.00002-6. Neurosky, “MindWave Mobile: User Guide,” 2017. “thinkgear_communications_protocol [NeuroSky Developer - Docs].” http://developer.neurosky.com/docs/doku.php?id=thinkgear_communications _protocol#code_definitions_table (accessed Sep. 11, 2021). “thinkgear_communications_protocol [NeuroSky Developer - Docs].” http://developer.neurosky.com/docs/doku.php?id=thinkgear_communications _protocol (accessed Sep. 11, 2021). F. Suárez-Obando, “Un marco ético amplio para la investigación científica en seres humanos: más allá de los códigos y las declaraciones. La propuesta de Ezekiel. J. Emanuel,” Pers. y Bioética, vol. 19, no. 2, pp. 182–197, Nov. 2015, doi: 10.5294/pebi.2015.19.2.2. M. De Salud, “RESOLUCION NUMERO 8430 DE 1993.” M. de Educación Nacional, L. A. Ministra, and D. E. E. Nacional, “Resolución 2565 de octubre 24 de 2003,” 2003. .G. Guzmán, N. Putrino, F. Martínez, and N. Quiroz, “Nuevas tecnologías: Puentes de comunicación en el trastorno del espectro autista (TEA),” Ter. Psicol., vol. 35, no. 3, pp. 247–258, Dec. 2017, doi: 10.4067/S0718- 48082017000300247. V. Jyoti and U. Lahiri, “Virtual Reality Based Joint Attention Task Platform for Children with Autism,” IEEE Trans. Learn. Technol., vol. 13, no. 1, pp. 198–210, Jan. 2020, doi: 10.1109/TLT.2019.2912371. I.-J. Lee, “Kinect-for-windows with augmented reality in an interactive roleplay system for children with an autism spectrum disorder,” Interact. Learn. Environ., pp. 1–17, Jan. 2020, doi: 10.1080/10494820.2019.1710851. A. B. Tomasz Srebnicki, “The application of computer assisted technologies in the rehabilitation of cognitive functions in psychiatric disorders of childhood and adolescence. | Request PDF,” 2016, [Online]. Available: https://www.researchgate.net/publication/303918238_The_application_of_co mputer_assisted_technologies_in_the_rehabilitation_of_cognitive_functions_in _psychiatric_disorders_of_childhood_and_adolescence. X. Hu, G. T. Lee, Y. T. Tsai, Y. Yang, and S. Cai, “Comparing Computer-Assisted and Teacher-Implemented Visual Matching Instruction for Children with ASD and/or Other DD,” J. Autism Dev. Disord., vol. 50, no. 7, pp. 2540–2555, Jul. 2020, doi: 10.1007/s10803-019-03978-2. A. Ghorbandaei Pour, A. Taheri, M. Alemi, and A. Meghdari, “Human–Robot Facial Expression Reciprocal Interaction Platform: Case Studies on Children with Autism,” Int. J. Soc. Robot., vol. 10, no. 2, pp. 179–198, Apr. 2018, doi: 10.1007/s12369-017-0461-4. Q. Sun and P. Winoto, “The Design of an Intelligent LEGO Tutoring System for Improving Social Communication Skills Among Children with Autism Spectrum Disorder,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11573 LNCS, pp. 172–181, doi: 10.1007/978-3-030-23563-5_15. E. Barakova and T. Lourens, “Interplay between natural and artificial intelligence in training autistic children with robots,” 2013, vol. 7930 LNCS, no. PART 1, pp. 161–170, doi: 10.1007/978-3-642-38637-4_17 O. Rudovic, J. Lee, M. Dai, B. Schuller, and R. W. Picard, “Personalized machine learning for robot perception of affect and engagement in autism therapy,” Sci. Robot., vol. 3, no. 19, p. eaao6760, Jun. 2018, doi: 10.1126/scirobotics.aao6760 R. B. JORGE and B. G. GONZÁLEZ, “‘APLICACIONES DE LAS TECNOLOGÍAS EN PERSONAS CON TEA,’” 2018 Deloitte, “Consumo móvil en Colombia 2019 | Deloitte Colombia | TMT,” p. 40, 2019. H. Bolivar, S. Rios, K. Garcia, S. Castillo, and C. Díaz, “Fuzzy logic model for the evaluation of cognitive training through videogames,” in Communications in Computer and Information Science, 2018, vol. 885, pp. 402–417, doi: 10.1007/978-3-319-98998-3_31. F. L. Cibrian, M. Madrigal, M. Avelais, and M. Tentori, “Supporting coordination of children with ASD using neurological music therapy: A pilot randomized control trial comparing an elastic touch-display with tambourines,” Res. Dev. Disabil., vol. 106, p. 103741, Nov. 2020, doi: 10.1016/j.ridd.2020.103741 S.-J. Cho and D. H. Ahn, “Socially Assistive Robotics in Autism Spectrum Disorder,” Hanyang Med. Rev., vol. 36, no. 1, p. 17, 2016, doi: 10.7599/hmr.2016.36.1.17 E. Guleksen, R. Lindsay, and A. Woodyard, “Pabi: Developing a New Robotic Platform for Autism Therapy,” 2015, [Online]. Available: https://web.wpi.edu/Pubs/E-project/Available/E-project-043015- 111144/unrestricted/PABI_- _Developing_a_New_Robotic_Platform_for_Autism_Therapy.pdf G. W. Lane et al., “Effectiveness of a social robot, ‘Paro,’ in a VA long-term care setting,” Psychol. Serv., vol. 13, no. 3, pp. 292–299, Aug. 2016, doi: 10.1037/ser0000080. Z. Zheng, S. Das, E. M. Young, A. Swanson, Z. Warren, and N. Sarkar, “Autonomous robot-mediated imitation learning for children with autism,” in Proceedings - IEEE International Conference on Robotics and Automation, Sep. 2014, pp. 2707–2712, doi: 10.1109/ICRA.2014.6907247. T. Wadhera, D. Kakkar, G. Kaur, and V. Menia, “Pre-Clinical ASD Screening Using Multi-Biometrics-Based Systems,” no. October, pp. 185–211, 2018, doi: 10.4018/978-1-5225-7525-2.ch008 B. Banire et al., “Attention Assessment: Evaluation of Facial Expressions of Children with Autism Spectrum Disorder,” 2019, vol. 11573 LNCS, pp. 32–48, doi: 10.1007/978-3-030-23563-5_4 J. Manfredonia et al., “Automatic Recognition of Posed Facial Expression of Emotion in Individuals with Autism Spectrum Disorder,” J. Autism Dev. Disord., vol. 49, no. 1, pp. 279–293, Jan. 2019, doi: 10.1007/s10803-018-3757-9. P. R. Krishnappa Babu, P. Oza, and U. Lahiri, “Gaze-sensitive virtual reality based social communication platform for individuals with autism,” IEEE Trans. Affect. Comput., vol. 9, no. 4, pp. 450–462, Oct. 2018, doi: 10.1109/TAFFC.2016.2641422. C. M. Goulart, “UNOBTRUSIVE TECHNIQUE BASED ON INFRARED THERMAL IMAGING FOR EMOTION RECOGNITION IN CHILDREN-WITH-ASD-ROBOT INTERACTION,” 2019. S. Jayarathna, Y. Jayawardana, M. Jaime, and S. Thapaliya, “Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder,” 2019, pp. 34–65. P. Carcagnì, D. Cazzato, M. Del Coco, C. Distante, and M. Leo, “Visual interaction including biometrics information for a socially assistive robotic platform,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8927, pp. 391–406, 2015, doi: 10.1007/978-3-319- 16199-0_28 Y. T. and L. Z. Shasha Zhang, Dan Chen, “Children ASD Evaluation Through Joint Analysis of EEG and Eye-Tracking Recordings With Graph Convolution Network _ Enhanced Reader.pdf.” 2021. K. Schwaber, J. Sutherland, L. Guía, D. De Scrum, and L. Reglas, La Guía Scrum. 2020. N. Cross, Engineering design methods: Strategies for product design Nigel Cross John Wiley, vol. 16, no. 2. 2000 “MindWave.” https://store.neurosky.com/pages/mindwave (accessed May 19, 2020). “Brain Sensing Headband / Brainwave Headset - What it Measures.” https://choosemuse.com/what-it-measures/ (accessed May 23, 2021). “All-in-One EEG Electrode Cap Starter Kit – OpenBCI Online Store.” https://shop.openbci.com/collections/frontpage/products/openbci-eegelectrocap-kit (accessed Aug. 13, 2021). “EPOC Flex - 32-Channel Wireless EEG Device | EMOTIV.” https://www.emotiv.com/epoc-flex/ (accessed May 15, 2020). “About Emotiv | EMOTIV.” https://www.emotiv.com/about-emotiv/# (accessed May 24, 2021). “OpenBCI - Open Source Biosensing Tools (EEG, EMG, EKG, and more).” https://openbci.com/ (accessed Sep. 10, 2021). “Air | Dry EEG device for basic brain states estimation| Bitbrain.” https://www.bitbrain.com/neurotechnology-products/dry-eeg/air (accessed May 20, 2020). “EEG Sensors - EEG Headsets | NeuroSky.” http://neurosky.com/biosensors/eeg-sensor/biosensors/ (accessed Sep. 11, 2021). ] “What is Overfitting? | IBM.” https://www.ibm.com/cloud/learn/overfitting (accessed Nov. 09, 2021). “2.3. Clustering — scikit-learn 0.24.2 documentation.” https://scikitlearn.org/stable/modules/clustering.html (accessed Sep. 14, 2021). J.-O. Palacio-Niño and F. Berzal, “Evaluation Metrics for Unsupervised Learning Algorithms.” C. C. Aggarwal, Data Mining. Cham: Springer International Publishing, 2015. “¿Qué es Bluetooth? Todo lo que debes saber - IONOS,” 2020. https://www.ionos.es/digitalguide/servidores/know-how/que-es-bluetooth/ (accessed Nov. 11, 2021). |
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Chaves-Acero, Miryam Liliana8ea8ec68-068c-41bb-a237-3eb5fd95ff15-1Guida, Doménico89d8b4c0-3959-41d4-98d4-ce92180d9cad-1Millán-Castro, Yury Angélicac0646e91-66e4-43da-a3fb-c1436b8f81ab-12022-01-31T20:32:24Z20222022-01-31T20:32:24Z2022Trabajo de Investigaciónthis research project presents the details and description of the process of component selection, design and implementation of the intelligent technological device which has a biometric component for signal capture, a component for data processing and application of the Artificial Intelligence model and an interface for viewing captured and processed data, thus, a technological device is provided to the therapist that provide personalized data for each patient and will serve as support for decision making during and after the activity performed.MaestríaMagister en Ingeniería y Gestión de la InnovaciónINTRODUCTION 2. PROBLEM STATEMENT 3. OBJECTIVES 4. CONCEPTUAL FRAMEWORK 5. THEORETICAL FRAMEWORK 6. ETHICAL FRAMEWORK 7. LEGAL FRAMEWORK 8. STATE OF THE ART 9. METHODOLOGY 10. DESCRIPTION OF PROJECT 11. RESULTS 12. VALIDATION OF PROJECT 13. CONCLUSIONS AND FUTURE WORKS 14. REFERENCES175 páginasapplication/pdfMillán-Castro, Y. A. (2021). Intelligent technological device for therapeutic support in treatment of children diagnosed with ASD. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Maestría en Ingeniería y Gestión de la innovación. Bogotá, Colombia.https://hdl.handle.net/10983/27011spaUniversidad Católica de ColombiaFacultad de IngenieríaBogotáMaestría en Ingeniería y Gestión de la Innovación“Autism spectrum disorders,” World Health Organization. https://www.who.int/news-room/fact-sheets/detail/autism-spectrum-disorders (accessed Apr. 11, 2020).D. de C. Secretaría de Educación del Distrito / Subsecretaría de Acceso y Permanencia, “Atención a población con discapacidad,” pp. 1–3, 2019.“30 Things Parents of Children on the Autism Spectrum Want You to Know - Applied Behavior Analysis Programs Guide.” https://www.appliedbehavioranalysisprograms.com/things-parents-ofchildren-on-the-autism-spectrum-want-you-to-know/S. M. Myers et al., “Management of children with autism spectrum disorders,” Pediatrics, vol. 120, no. 5. pp. 1162–1182, Nov. 01, 2007, doi: 10.1542/peds.2007-2362.“Concejo de Bogotá D.C. - Los derechos de las personas con autismo.” http://concejodebogota.gov.co/los-derechos-de-las-personas-conautismo/cbogota/2018-04-02/085658.php.“Videos: Autismo: padres de familia cuentan el drama de tener hijos que lo sufren.” https://www.semana.com/vida-moderna/multimedia/autismo-padresde-familia-cuentan-el-drama-de-tener-hijos-que-lo-sufren/499663.M. Rutherford et al., “Improving Efficiency and Quality of the Children’s ASD Diagnostic Pathway: Lessons Learned from Practice,” J. Autism Dev. Disord., vol. 48, no. 5, pp. 1579–1595, May 2018, doi: 10.1007/s10803-017-3415-7.L. A. Dickstein-Fischer, R. H. Pereira, K. Y. Gandomi, A. T. Fathima, and G. S. Fischer, “Interactive tracking for robot-assisted autism therapy,” in ACM/IEEE International Conference on Human-Robot Interaction, Mar. 2017, pp. 107–108, doi: 10.1145/3029798.3038390.Daniel Comín, “Berrinches y crisis de niños con autismo ¿En qué se diferencian? - Autismo Diario,” 2015. https://autismodiario.com/2015/09/19/berrinches-ycrisis-de-ninos-con-autismo-en-que-se-diferencian/ (accessed Oct. 11, 2021).N. I. of M. Health, “NIMH » Autism Spectrum Disorder.” https://www.nimh.nih.gov/health/topics/autism-spectrum-disordersasd/index.shtml (accessed Oct. 31, 2019)Autism Speaks, “CDC increases estimate of autism’s prevalence by 15 percent, to 1 in 59 children | Autism Speaks,” 2018. https://www.autismspeaks.org/science-news/cdc-increases-estimate-autismsprevalence-15-percent-1-59-children (accessed Apr. 11, 2020)Sathe and Nila A, “Therapies for Children With Autism Spectrum Disorder: Behavioral Interventions Update Comparative Effectiveness Review Number 137,” 2014. Accessed: May 31, 2020. [Online]. Available: www.effectivehealthcare.ahrq.govM. Campbell, E. Schopler, D. Ph, and J. E. Cueva, “Treatment of Autistic Disorder,” J. Am. Acad. Child Adolesc. Psychiatry, vol. 35, no. 2, pp. 134–143, 1996, doi: 10.1097/00004583-199602000-00005.C. for D. C. and P. National Center on Birth Defects and Developmental Disabilities, “Treatment and Intervention Services for Autism Spectrum Disorder | NCBDDD | CDC,” Centers for Disease Control and Prevention, 2019. https://www.cdc.gov/ncbddd/autism/treatment.html (accessed Apr. 09, 2020).S. L. Hyman, S. E. Levy, and S. M. Myers, “CLINICAL REPORT Guidance for the Clinician in Rendering Pediatric Care Executive Summary: Identification, Evaluation, and Management of Children With Autism Spectrum Disorder,” 2020, doi: 10.1542/peds.2019-3448.L. A. Cañon Betancour, A. V. Pérez Gómez, and J. O. Contreras, “Terapias de Análisis de Comportamiento Aplicado ABA, para el tratamiento de personas con diagnóstico de trastornos del espectro autista y trastorno de hiperactividad y déficit de atención,” 2014, Accessed: Oct. 30, 2019. [Online]. Available: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/INEC/IETS /Estudio-Efectividad-Terapias-analisis-comportamiento-aplicado.pdfL. Pratt C., & Steward, “Discrete Trial Teaching: What is it?: Articles: Indiana Resource Center for Autism: Indiana University Bloomington,” 2018. https://www.iidc.indiana.edu/irca/articles/discrete-trial-teaching-what-isit.htmlL. Klintwall and S. Eikeseth, “Early and Intensive Behavioral Intervention (EIBI) in Autism,” in Comprehensive Guide to Autism, New York, NY: Springer New York, 2014, pp. 117–137.Emi Tanaka, “Savvy Statistics: What’s in a name? The difference between Bioinformatics, Biometrics and Biostatistics,” 2018. https://emitanaka.org/r/posts/2018-12-18-what-is-the-difference-betweenbioinformatics-biometrics-and-biostatistics/J. R. VACCA, Biometric Technologies and Verification Systems. 2007.S. Guennouni, A. Mansouri, and A. Ahaitouf, “Biometric Systems and Their Applications,” in Visual Impairment and Blindness [Working Title], IntechOpen, 2019.“What is Eye Tracking?” https://www.eyetracking.com/what-is-eye-tracking/ (accessed Apr. 17, 2020).MAYO CLINIC, “Mayo Clinic Books,” 2020. https://www.mayoclinic.org/testsprocedures/eeg/about/pac-20393875 (accessed Apr. 17, 2020).M. C. S. Guzmán Navarro Francisco, Domótica: Gestión de la Energía y Gestión Técnica de Edificios, Primera Ed. Bogota: Ra-Ma Editorial, 2015.J. T. PALMA MENDEZ, Inteligencia artificial: métodos, técnicas y aplicaciones. 2008.E. Alpaydın, “Introduction to Machine Learning,” 2014.P. Ponce Cruz, Inteligencia Artificial. Con Aplicaciones a la Ingeniería, Alfa Omega. 2010.S. H. Chen, A. J. Jakeman, and J. P. Norton, “Artificial Intelligence techniques: An introduction to their use for modelling environmental systems,” Math. Comput. Simul., vol. 78, no. 2–3, pp. 379–400, 2008, doi: 10.1016/j.matcom.2008.01.028J. L. . Wayman, A. k. . Jain, D. . Maltoni, and D. Maio, Biometric Systems: Technology, Design, and Performance Evaluation. New York: Springer Verlag, 2005.J. C. Ponce, A. Torres, A. S. Sprock, and A. Casali, “Inteligencia Artificial,” no. March, p. 199, 2014, doi: 10.13140/2.1.3720.0960.O. Simeone, “A Brief Introduction to Machine Learning for Engineers,” Found. Trends Signal Process., vol. 12, no. 3–4, pp. 200–431, Sep. 2017.R. P. Díez, A. G. Gómez, and N. D. A. Martínez, Introducción a la inteligencia artificial: sistemas expertos, redes neuronales artificiales y computación evolutiva. Universidad de Oviedo, 2001.M. L. Chaves, L. Sánchez-González, E. Díez, H. Pérez, and A. Vizán, “Experimental assessment of quality in injection parts using a fuzzy system with adaptive membership functions,” Neurocomputing, vol. 391, pp. 334–344, May 2020, doi: 10.1016/j.neucom.2019.06.108.Nagarani Jammu, “Adaptive controller strategies for FACTS devices in a power system to enhance stability,”R. F. López and J. M. F. Fernández, Las Redes Neuronales Artificiales. Netbiblo, 2008.S. H. El-Sappagh and M. Elmogy, “Case Based Reasoning: Case Representation Methodologies,” 2015. doi: 10.14569/ijacsa.2015.061126.I. G. S. and V. C. S., “La visión artificial y los campos de aplicación,” Tierra Infin., vol. 1, no. 1, pp. 94–103, Dec. 2015, Accessed: Sep. 12, 2021. [Online]. Available: https://revistasdigitales.upec.edu.ec/index.php/tierrainfinita/article/view/76.E. Hernández-pereira, “TÉCNICAS DE INTELIGENCIA ARTIFICIAL E INGENIERÍA DEL SOFTWARE PARA UN SISTEMA INTELIGENTE DE MONITORIZACIÓN DE APNEAS EN SUEÑO,” 2014.G. Mani, S. Berkovich, and D. Liao, “Adaptive and Interactive Design Based on Big Data Computational Model for Treating Autism,” pp. 121–122, 2014, doi: 10.1109/com.geo.2014.7J. Wainer, B. Robins, F. Amirabdollahian, and K. Dautenhahn, “Using the humanoid robot KASPAR to autonomously play triadic games and facilitate collaborative play among children with autism,” IEEE Trans. Auton. Ment. Dev., vol. 6, no. 3, pp. 183–199, 2014, doi: 10.1109/TAMD.2014.2303116.A. Taheri, A. Meghdari, M. Alemi, H. Pouretemad, P. Poorgoldooz, and M. Roohbakhsh, “Social robots and teaching music to autistic children: Myth or reality?,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9979 LNAI, pp. 541–550, doi: 10.1007/978-3-319-47437-3_53.P. V. Motika and D. C. Bergen, “Electroencephalography (EEG),” Encycl. Mov. Disord., pp. 441–444, Jan. 2010, doi: 10.1016/B978-0-12-374105-9.00026-5.M. Seeck et al., “The standardized EEG electrode array of the IFCN,” Clin. Neurophysiol., vol. 128, no. 10, pp. 2070–2077, Oct. 2017, doi: 10.1016/J.CLINPH.2017.06.254.P. A. Abhang, B. W. Gawali, and S. C. Mehrotra, “Technological Basics of EEG Recording and Operation of Apparatus,” Introd. to EEG- Speech-Based Emot. Recognit., pp. 19–50, Jan. 2016, doi: 10.1016/B978-0-12-804490-2.00002-6.Neurosky, “MindWave Mobile: User Guide,” 2017.“thinkgear_communications_protocol [NeuroSky Developer - Docs].” http://developer.neurosky.com/docs/doku.php?id=thinkgear_communications _protocol#code_definitions_table (accessed Sep. 11, 2021).“thinkgear_communications_protocol [NeuroSky Developer - Docs].” http://developer.neurosky.com/docs/doku.php?id=thinkgear_communications _protocol (accessed Sep. 11, 2021).F. Suárez-Obando, “Un marco ético amplio para la investigación científica en seres humanos: más allá de los códigos y las declaraciones. La propuesta de Ezekiel. J. Emanuel,” Pers. y Bioética, vol. 19, no. 2, pp. 182–197, Nov. 2015, doi: 10.5294/pebi.2015.19.2.2.M. De Salud, “RESOLUCION NUMERO 8430 DE 1993.”M. de Educación Nacional, L. A. Ministra, and D. E. E. Nacional, “Resolución 2565 de octubre 24 de 2003,” 2003..G. Guzmán, N. Putrino, F. Martínez, and N. Quiroz, “Nuevas tecnologías: Puentes de comunicación en el trastorno del espectro autista (TEA),” Ter. Psicol., vol. 35, no. 3, pp. 247–258, Dec. 2017, doi: 10.4067/S0718- 48082017000300247.V. Jyoti and U. Lahiri, “Virtual Reality Based Joint Attention Task Platform for Children with Autism,” IEEE Trans. Learn. Technol., vol. 13, no. 1, pp. 198–210, Jan. 2020, doi: 10.1109/TLT.2019.2912371.I.-J. Lee, “Kinect-for-windows with augmented reality in an interactive roleplay system for children with an autism spectrum disorder,” Interact. Learn. Environ., pp. 1–17, Jan. 2020, doi: 10.1080/10494820.2019.1710851.A. B. Tomasz Srebnicki, “The application of computer assisted technologies in the rehabilitation of cognitive functions in psychiatric disorders of childhood and adolescence. | Request PDF,” 2016, [Online]. Available: https://www.researchgate.net/publication/303918238_The_application_of_co mputer_assisted_technologies_in_the_rehabilitation_of_cognitive_functions_in _psychiatric_disorders_of_childhood_and_adolescence.X. Hu, G. T. Lee, Y. T. Tsai, Y. Yang, and S. Cai, “Comparing Computer-Assisted and Teacher-Implemented Visual Matching Instruction for Children with ASD and/or Other DD,” J. Autism Dev. Disord., vol. 50, no. 7, pp. 2540–2555, Jul. 2020, doi: 10.1007/s10803-019-03978-2.A. Ghorbandaei Pour, A. Taheri, M. Alemi, and A. Meghdari, “Human–Robot Facial Expression Reciprocal Interaction Platform: Case Studies on Children with Autism,” Int. J. Soc. Robot., vol. 10, no. 2, pp. 179–198, Apr. 2018, doi: 10.1007/s12369-017-0461-4.Q. Sun and P. Winoto, “The Design of an Intelligent LEGO Tutoring System for Improving Social Communication Skills Among Children with Autism Spectrum Disorder,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11573 LNCS, pp. 172–181, doi: 10.1007/978-3-030-23563-5_15.E. Barakova and T. Lourens, “Interplay between natural and artificial intelligence in training autistic children with robots,” 2013, vol. 7930 LNCS, no. PART 1, pp. 161–170, doi: 10.1007/978-3-642-38637-4_17O. Rudovic, J. Lee, M. Dai, B. Schuller, and R. W. Picard, “Personalized machine learning for robot perception of affect and engagement in autism therapy,” Sci. Robot., vol. 3, no. 19, p. eaao6760, Jun. 2018, doi: 10.1126/scirobotics.aao6760R. B. JORGE and B. G. GONZÁLEZ, “‘APLICACIONES DE LAS TECNOLOGÍAS EN PERSONAS CON TEA,’” 2018Deloitte, “Consumo móvil en Colombia 2019 | Deloitte Colombia | TMT,” p. 40, 2019.H. Bolivar, S. Rios, K. Garcia, S. Castillo, and C. Díaz, “Fuzzy logic model for the evaluation of cognitive training through videogames,” in Communications in Computer and Information Science, 2018, vol. 885, pp. 402–417, doi: 10.1007/978-3-319-98998-3_31.F. L. Cibrian, M. Madrigal, M. Avelais, and M. Tentori, “Supporting coordination of children with ASD using neurological music therapy: A pilot randomized control trial comparing an elastic touch-display with tambourines,” Res. Dev. Disabil., vol. 106, p. 103741, Nov. 2020, doi: 10.1016/j.ridd.2020.103741S.-J. Cho and D. H. Ahn, “Socially Assistive Robotics in Autism Spectrum Disorder,” Hanyang Med. Rev., vol. 36, no. 1, p. 17, 2016, doi: 10.7599/hmr.2016.36.1.17E. Guleksen, R. Lindsay, and A. Woodyard, “Pabi: Developing a New Robotic Platform for Autism Therapy,” 2015, [Online]. Available: https://web.wpi.edu/Pubs/E-project/Available/E-project-043015- 111144/unrestricted/PABI_- _Developing_a_New_Robotic_Platform_for_Autism_Therapy.pdfG. W. Lane et al., “Effectiveness of a social robot, ‘Paro,’ in a VA long-term care setting,” Psychol. Serv., vol. 13, no. 3, pp. 292–299, Aug. 2016, doi: 10.1037/ser0000080.Z. Zheng, S. Das, E. M. Young, A. Swanson, Z. Warren, and N. Sarkar, “Autonomous robot-mediated imitation learning for children with autism,” in Proceedings - IEEE International Conference on Robotics and Automation, Sep. 2014, pp. 2707–2712, doi: 10.1109/ICRA.2014.6907247.T. Wadhera, D. Kakkar, G. Kaur, and V. Menia, “Pre-Clinical ASD Screening Using Multi-Biometrics-Based Systems,” no. October, pp. 185–211, 2018, doi: 10.4018/978-1-5225-7525-2.ch008B. Banire et al., “Attention Assessment: Evaluation of Facial Expressions of Children with Autism Spectrum Disorder,” 2019, vol. 11573 LNCS, pp. 32–48, doi: 10.1007/978-3-030-23563-5_4J. Manfredonia et al., “Automatic Recognition of Posed Facial Expression of Emotion in Individuals with Autism Spectrum Disorder,” J. Autism Dev. Disord., vol. 49, no. 1, pp. 279–293, Jan. 2019, doi: 10.1007/s10803-018-3757-9.P. R. Krishnappa Babu, P. Oza, and U. Lahiri, “Gaze-sensitive virtual reality based social communication platform for individuals with autism,” IEEE Trans. Affect. Comput., vol. 9, no. 4, pp. 450–462, Oct. 2018, doi: 10.1109/TAFFC.2016.2641422.C. M. Goulart, “UNOBTRUSIVE TECHNIQUE BASED ON INFRARED THERMAL IMAGING FOR EMOTION RECOGNITION IN CHILDREN-WITH-ASD-ROBOT INTERACTION,” 2019.S. Jayarathna, Y. Jayawardana, M. Jaime, and S. Thapaliya, “Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder,” 2019, pp. 34–65.P. Carcagnì, D. Cazzato, M. Del Coco, C. Distante, and M. Leo, “Visual interaction including biometrics information for a socially assistive robotic platform,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8927, pp. 391–406, 2015, doi: 10.1007/978-3-319- 16199-0_28Y. T. and L. Z. Shasha Zhang, Dan Chen, “Children ASD Evaluation Through Joint Analysis of EEG and Eye-Tracking Recordings With Graph Convolution Network _ Enhanced Reader.pdf.” 2021.K. Schwaber, J. Sutherland, L. Guía, D. De Scrum, and L. Reglas, La Guía Scrum. 2020.N. Cross, Engineering design methods: Strategies for product design Nigel Cross John Wiley, vol. 16, no. 2. 2000“MindWave.” https://store.neurosky.com/pages/mindwave (accessed May 19, 2020).“Brain Sensing Headband / Brainwave Headset - What it Measures.” https://choosemuse.com/what-it-measures/ (accessed May 23, 2021).“All-in-One EEG Electrode Cap Starter Kit – OpenBCI Online Store.” https://shop.openbci.com/collections/frontpage/products/openbci-eegelectrocap-kit (accessed Aug. 13, 2021).“EPOC Flex - 32-Channel Wireless EEG Device | EMOTIV.” https://www.emotiv.com/epoc-flex/ (accessed May 15, 2020).“About Emotiv | EMOTIV.” https://www.emotiv.com/about-emotiv/# (accessed May 24, 2021).“OpenBCI - Open Source Biosensing Tools (EEG, EMG, EKG, and more).” https://openbci.com/ (accessed Sep. 10, 2021).“Air | Dry EEG device for basic brain states estimation| Bitbrain.” https://www.bitbrain.com/neurotechnology-products/dry-eeg/air (accessed May 20, 2020).“EEG Sensors - EEG Headsets | NeuroSky.” http://neurosky.com/biosensors/eeg-sensor/biosensors/ (accessed Sep. 11, 2021).] “What is Overfitting? | IBM.” https://www.ibm.com/cloud/learn/overfitting (accessed Nov. 09, 2021).“2.3. Clustering — scikit-learn 0.24.2 documentation.” https://scikitlearn.org/stable/modules/clustering.html (accessed Sep. 14, 2021).J.-O. Palacio-Niño and F. Berzal, “Evaluation Metrics for Unsupervised Learning Algorithms.”C. C. Aggarwal, Data Mining. Cham: Springer International Publishing, 2015.“¿Qué es Bluetooth? Todo lo que debes saber - IONOS,” 2020. https://www.ionos.es/digitalguide/servidores/know-how/que-es-bluetooth/ (accessed Nov. 11, 2021).Copyright-Universidad Católica de Colombia, 2021info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2INTELIGENCIA ARTIFICIALASD THERAPIESMACHINE LEARNINGUNSUPERVISED LEARNING MODELBIOMETRIC MEASUREMENTSEEGIntelligent technological device for therapeutic support in treatment of children diagnosed with ASDTrabajo de grado - Maestríahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/masterThesishttps://purl.org/redcol/resource_type/TMhttp://purl.org/coar/version/c_fa2ee174bc00049fhttp://purl.org/coar/version/c_71e4c1898caa6e32PublicationORIGINALINTELLIGENT TECHNOLOGICAL DEVICE FOR THERAPEUTIC SUPPORT IN TREATMENT OF CHILDREN DIAGNOSED WITH ASD.pdfINTELLIGENT TECHNOLOGICAL DEVICE FOR THERAPEUTIC SUPPORT IN TREATMENT OF CHILDREN DIAGNOSED WITH ASD.pdfapplication/pdf62502000https://repository.ucatolica.edu.co/bitstreams/87b7a25d-47b2-4da9-8168-121b16d35fa3/downloadfe587b934ddde97e517bbdd0e18ce646MD51RESUMEN ANALITICO EN EDUCACION RAE.pdfRESUMEN ANALITICO EN EDUCACION RAE.pdfapplication/pdf218950https://repository.ucatolica.edu.co/bitstreams/872e46d6-c359-44cb-ae3e-959b14023172/downloada6ad202095830ebb1893bee2fd6b99c6MD52TEXTINTELLIGENT TECHNOLOGICAL DEVICE FOR THERAPEUTIC SUPPORT IN TREATMENT OF CHILDREN DIAGNOSED WITH ASD.pdf.txtINTELLIGENT TECHNOLOGICAL DEVICE FOR THERAPEUTIC SUPPORT IN TREATMENT OF CHILDREN DIAGNOSED WITH ASD.pdf.txtExtracted texttext/plain288046https://repository.ucatolica.edu.co/bitstreams/96d336fb-94b7-4048-ad36-773f9f69fb3b/downloade906def2ae265d9c0041442b70e467b4MD53RESUMEN ANALITICO EN EDUCACION RAE.pdf.txtRESUMEN ANALITICO EN EDUCACION RAE.pdf.txtExtracted texttext/plain27730https://repository.ucatolica.edu.co/bitstreams/e70f419b-aa8a-444e-8eea-aab9c30652bc/downloadb99fdd3fd08bc7af6120f952c71db0dbMD55THUMBNAILINTELLIGENT TECHNOLOGICAL DEVICE FOR THERAPEUTIC SUPPORT IN TREATMENT OF CHILDREN DIAGNOSED WITH ASD.pdf.jpgINTELLIGENT TECHNOLOGICAL DEVICE FOR THERAPEUTIC SUPPORT IN TREATMENT OF CHILDREN DIAGNOSED WITH ASD.pdf.jpgRIUCACimage/jpeg10792https://repository.ucatolica.edu.co/bitstreams/5e1a4964-376e-4fbe-bd50-1744765d5a62/downloadd2aaa0a9e2d24d71b073f872a449a9f9MD54RESUMEN ANALITICO EN EDUCACION RAE.pdf.jpgRESUMEN ANALITICO EN EDUCACION RAE.pdf.jpgRIUCACimage/jpeg19859https://repository.ucatolica.edu.co/bitstreams/b067ea25-f456-4c1a-9466-09ee5a100274/download7f6de6eaad7cc6303bef52dc38f9a1b4MD5610983/27011oai:repository.ucatolica.edu.co:10983/270112023-03-24 15:50:25.58https://creativecommons.org/licenses/by/4.0/Copyright-Universidad Católica de Colombia, 2021https://repository.ucatolica.edu.coRepositorio Institucional Universidad Católica de Colombia - RIUCaCbdigital@metabiblioteca.com |