Classification of attention deficit hyperactivity disorder (ADHD) considering diagnosis and treatment

Classification of attention deficit hyperactivity disorder (ADHD) considering diagnosis and treatment

Автор: Sumathi M., Nagaraj G. Cholli, Shantharam Nayak

Журнал: International Journal of Modern Education and Computer Science @ijmecs

Статья в выпуске: 6 vol.11, 2019 года.

Бесплатный доступ

Attention Deficit Hyperactivity Disorder (ADHD) is the most frequent brain disorders in children. Brain is the greatest complicated data processing part in human body. ADHD can begin in childhood age and may extend till adolescent too. ADHD patients activities/actions/behaviour are totally different from non ADHD patients. To solve the problem in early stage is more precious contribution for children life. Otherwise the disorder may cause further destruction in child brain. An activity of ADHD child is: carelessness, impulsive, and feverish. These activities may be common in other children too but for ADHD patients these activities are more severe and more often occurs. ADHD can arise problems at school, home, it may affect children learning ability, and child may not join with others. ADHD is one among many childhood syndromes. The paper summarises the different ADHD diagnosis methods and suggested treatments for the disorder.

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ADHD, Attention, hyperactive, diagnosis

Короткий адрес: https://sciup.org/15016857

IDR: 15016857   |   DOI: 10.5815/ijmecs.2019.06.04

Список литературы Classification of attention deficit hyperactivity disorder (ADHD) considering diagnosis and treatment

  • F. Jimenez, T. Yoshikawa, T. Furuhashi, M. Kanoh and T. Nakamura, “Effects of Collaborative Learning between Educational-Support Robots and Children who Potential Symptoms of a Development Disability”, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), Sapporo 2016, pp. 266-270. doi: 10.1109/SCISISIS. 2016.0064.
  • K. Krishnaveni and E. Radhamani, "Diagnosis and evaluation of ADHD using Naïve Bayes and J48 classifiers," 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, 2016, pp. 1809-1814.
  • Commodari, Elena, “Preschool teacher attachment and attention skills”, SpringerPlus, pp. 673, Vol 2, Dec. 2013.
  • H. Heinrich, H. Dickhaus, A. Rothenberger, V. Heinrich and G. H. Moll, "Single-sweep analysis of event-related potentials by wavelet networks-methodological basis and clinical application," in IEEE Transactions on Biomedical Engineering, vol. 46, no. 7, pp. 867-879, July1999.doi: 10.1109/10.771199
  • B. Padmaja, V. V. Rama Prasad, K. V. N. Sunitha, “TreeNet analysis of human stress behavior using socio-mobile data” , Journal of Big Data, 2016, Volume 3, Number 1, Page 1
  • Christof Loose, Frank Meyer, Reinhard Pietrowsky , “The Dusseldorf Illustrated Schema Questionnaire for Children (DISC)”, Psicologia: Reflexão e Crítica, 2018, Volume 31, Number 1, Page 1
  • S. Farzi, S. Kianian and I. Rastkhadive, "Diagnosis of attention deficit hyperactivity disorder using deep belief network based on greedy approach," 2017 5th International Symposium on Computational and Business Intelligence (ISCBI), Dubai, 2017, pp. 96-99. doi:10.1109/ISCBI.2017.8053552
  • Z. Esmailpoor, A. M. Nasrabadi and S. Malayeri, "An auditory brainstem response-based expert system for ADHD diagnosis using recurrence qualification analysis and wavelet support vector machine," 2015 23rd Iranian Conference on Electrical Engineering, Tehran, 2015, pp. 6-10. doi: 10.1109/IranianCEE.2015.7146173
  • Perricone, Giovannaand Morales, M. Regina and Anzalone, Germana, “Neurodevelopmental outcomes of moderately preterm birth: precursors of attention deficit hyperactivity disorder at preschool age”, SpringerPlus, 2013, 12th May, volume 2, Number 1,pages=221, issn 2193-1801,doi:10.1186/2193-1801-2-221
  • Duffy, Anne , Horrocks, Julie, Doucette, Sarah , Keown Stoneman, Charles, Grof, Paul , Andreazza, Ana, Young, L. Trevor, “Immunological and neurotrophic markers of risk status and illness development in high-risk youth: understanding the neurobiological underpinnings of bipolar disorder”, International Journal of Bipolar Disorders, 2014, Mar 31ST, Volume 2 , number 1, pages=4, issn=2194-7511, doi=10.1186/2194-7511-2-4
  • Abe, Jair Minoro, Lopes, Helder F. S., Nakamatsu, Kazumi, “Paraconsistent neurocomputing and brain signal analysis”, Vietnam Journal of Computer Science", 2014, Nov 1st , volume 1, number 4, pages 219--230, issn 2196-8896, doi = 10.1007/s40595-014-0022-9,
  • C. Chen, Y. Tang, N. Zhang and J. Shin, "Neurofeedback based attention training for children with ADHD," 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST), Taichung, 2017, pp. 93-97. doi: 10.1109/ICAwST.2017.8256530
  • Keown-Stoneman, Charles DG, Horrocks, Julie, Darlington, Gerarda A. , Goodday, Sarah, Grof, Paul, Duffy, Anne, "Multi-state models for investigating possible stages leading to bipolar disorder", International Journal of Bipolar Disorders, 2015, Feb 24th , Vol 3,No.1, pages=5, issn=2194-7511, doi="10.1186/s40345-014-0019-4"
  • Luciane da Rosa Piccolo,Adriane Xavier Arteche, Rochele Paz Fonseca ,Rodrigo Grassi-Oliveira, Jerusa Fumagalli Salles,”Influence of family socioeconomic status on IQ, language, memory and executive functions of Brazilian children”, Psicol. Reflex. Crit. vol.29 Porto egre 2016 Epub June 20, 2016, ISSN 1678-7153
  • Pisacco, Nelba Maria Teixeira, Sperafico, Yasmini Lais Spindle, Enricone, Jacqueline Raquel Bianchi, Guimar, Luciano Santos Pinto, Rohde, Luis Augusto, Dorneles, Beatriz Vargas, "Metacognitive interventions in text production and working memory in students with ADHD", Psicologia Reflex Critica, 2018, Feb 7th ,Vol .31, no. 1, pages 5, Issn: 1678-7153,Doi:10.1186/s41155-017-0081-9
  • W. Wang, B. Hu, Z. Yao, M. Jackson, R. Liu and C. Liang, "Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder: A resting state fMRI study," The 2013 International Joint Conference on Neural Networks (IJCNN), Dallas, TX, 2013, pp. 1-6. doi: 10.1109/IJCNN.2013.6707011
  • Z. Yao et al., "Functional network disruption in attention deficit hyperactivity disorder," 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Belfast, 2014, pp. 84-90. doi: 10.1109/BIBM.2014.6999273
  • D. Z. Blandón, J. E. Muñoz, D. S. Lopez and O. H. Gallo, "Influence of a BCI neurofeedback videogame in children with ADHD. Quantifying the brain activity through an EEG signal processing dedicated toolbox," 2016 IEEE 11th Colombian Computing Conference(CCC),Popayan,2016,pp.1-8.doi: 10.1109/ColumbianCC.2016.7750788
  • A. Allahverdy, A. M. Nasrabadi and M. R. Mohammadi, "Detecting ADHD children using symbolic dynamic of nonlinear features of EEG," 2011 19th Iranian Conference on Electrical Engineering, Tehran, 2011, pp. 1-4.
  • A. Alex, S. Coelli, A. M. Bianchi, L. Ponzini, E. Buzzi and M. P. Canevini, "EEG analysis of brain activity in attention deficit hyperactivity disorder during an attention task," 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry(RTSI),Modena,2017,pp.1-4.doi: 10.1109/RTSI.2017.8065955
  • Demanuele, C.; James, C.J.; Sonuga-Barke, E.J.S.; Capilla, A.: 'Low frequency phase synchronisation analysis of MEG recordings from children with ADHD and controls using single channel ICA', IET Conference Proceedings, 2008, p. 111-111, DOI: 10.1049/cp:20080428 IET Digital Library
  • Fuermaier, Anselm BM, Tucha, Lara, Mueller, Anna K, Koerts, Janneke,Hauser, Joachim, Lange, Klaus W., Tucha, Oliver, "Stigmatization in teachers towards adults with attention deficit hyperactivity disorder", Springer Plus, 2014, Jan 14th, Vol. 3, No. 1, Pages 26, issn:2193-1801, Doi:10.1186/2193-1801-3-26
  • H. Chen, J. Yan, Y. Gu, Y. Song and X. Li, "Mutual information analysis of EEG of children with attention-deficit/hyperactivity disorder," 2017 Chinese Automation Congress (CAC), Jinan, 2017, pp. 2342-2347.doi: 10.1109/CAC.2017.8243167
  • S. Jaiswal, M. F. Valstar, A. Gillott and D. Daley, "Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data," 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), Washington, DC, 2017, pp. 762-769. doi: 10.1109/FG.2017.95
  • S. Khoshnoud, M. Shamsi and M. A. Nazari, "Non-linear EEG analysis in children with attention-deficit/ hyperactivity disorder during the rest condition," 2015 22nd Iranian Conference on Biomedical Engineering (ICBME), Tehran, 2015, pp. 87-92. doi: 10.1109/ICBME.2015.7404122
  • S. Iyer, R. S. Mishra, S. P. Kulkami and D. Kalbande, "Assess autism level while playing games," 2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA), Mumbai, 2017, pp. 42-47.doi: 10.1109/CSCITA.2017.8066573
  • Xiao, Cao, Bledsoe, Jesse, Wang, Shouyi, Chaovalitwongse, Wanpracha Art, Mehta, Sonya, Semrud-Clikeman, Margaret, Grabowski, Thomas", "An integrated feature ranking and selection framework for ADHD characterization", Brain Informatics, 2016, Sep 1st, Vol 3, No.3, Pages 145—155, issn: 2198-4026, doi:10.1007/s40708-016-0047-1
  • B. Miao and Y. Zhang, "A feature selection method for classification of ADHD," 2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS),Dalian,2017,pp.21-25.doi: 10.1109/ICCSS.2017.8091376
  • F. Fahimi, C. Guan, W. B. Goh, K. K. Ang, C. G. Lim and T. S. Lee, "Personalized features for attention detection in children with Attention Deficit Hyperactivity Disorder," 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 414-417.doi: 10.1109/EMBC.2017.8036850
  • M. Á. Bautista et al., "A Gesture Recognition System for Detecting Behavioral Patterns of ADHD," in IEEE Transactions on Cybernetics, vol. 46, no. 1, pp. 136-147, Jan. 2016.doi: 10.1109/TCYB.2015.2396635
  • M. Tudosie, E. Truţă, A. M. Daviţoiu, A. M. Mitu and A. A. Bojescu, "Optoelectronics method for determining the cobalt involved in symptoms of attention deficit hyperactivity disorder," 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Targoviste, 2017, pp. 1-4.doi: 10.1109/ECAI.2017.8166474
  • R. Gabriel, M. Machado Spindola, A. Mesquita and A. Zerbetto Neto, "Identification of ADHD Cognitive Pattern Disturbances Using EEG and Wavelets Analysis," 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE), Washington, DC, 2017, pp. 157-162.doi: 10.1109/BIBE.2017.00-62
  • Konda, Yukiko, Miura, Yui, Oi, Manabu, "Causes of academic and behavioral difficulties among Japanese-Brazilian students: cognitive, linguistic and parental education factors", Multilingual Education, 2015, Apr 10th , Vol 5, No. 1, Pages 2, Issn:2191-5059, Doi: 10.1186/s13616-015-0022-9",
  • Pardeep Kumar Aggarwal, Vanita Jain, Vivekanand Jha, “Genes, chromosomes and disease", Genomic Medicine, 2008, 2008, Dec 1st, Vol.2, No.2, Pages: 351—380, Issn:1871-7942, doi:10.1007/s11568-009-9098-1
  • Chang, Suhua, Zhang, Weina, Gao, Lei, Wang, Jing","Prioritization of candidate genes for attention deficit hyperactivity disorder by computational analysis of multiple data sources", Protein Cell, 2012, Jul 1st, Vol. 3, No.7, pages:526--534, Issn:1674-8018, Doi:10.1007/s13238-012-2931-7
  • J. Yao, "Mother Smoking During Pregnancy and ADHD in Children," 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, 2017, pp. 1515-1522. doi: 10.1109/ICDE.2017.222
  • Anca Domuta, Imre Pentek, “Implicit Learning in ADHD Preschool Children”, Implicit learningandADHD,2003,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.125.5606&rep=rep1&type=pdf
  • C. Chaiyanan, K. Iramina, T. Angsuwatanakul and B. Kaewkamnerdpong, "Response time analysis on implicit learning induced by cognitive tasks toward developing ADHD treatment," 2017 10th Biomedical Engineering International Conference (BMEiCON), Hokkaido, 2017, pp. 1-5. doi: 10.1109/BMEiCON.2017.8229133
  • Saba, Leslie, Byrne, Alison, Mulligan, Aisling,"Child art psychotherapy in CAMHS: Which cases are referred and which cases drop out?", SpringerPlus, 2016, Oct 19th, Vol.5, No. 1, Pages:1816, issn:2193-1801, doi="10.1186/s40064-016-3509-2",
  • D. A. Rohani, H. B. D. Sorensen and S. Puthusserypady, "Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD," 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL,2014,pp.3606-3609.doi: 10.1109/EMBC.2014.6944403
  • Rohani, Darius A, Puthusserypady, Sadasivan, "BCI inside a virtual reality classroom: a potential training tool for attention", EPJ Nonlinear Biomedical Physics, 2015, Dec 24th, Vol. 3, No.1, Pages:12, issn:2195-0008,doi="10.1140/epjnbp/s40366-015-0027-z"
  • H. Lee, Y. Li, S. Yeh, Y. Huang, Z. Wu and Z. Du, "ADHD assessment and testing system design based on virtual reality," 2017 2nd International Conference on Information Technology(INCIT),Nakhonpathom,2017,pp.1-5.doi: 10.1109/INCIT.2017.8257860
  • S. Yeh, C. Tsai, Y. Fan, P. Liu and A. Rizzo, "An innovative ADHD assessment system using virtual reality," 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences,Langkawi,2012,pp.78-83.doi: 10.1109/IECBES.2012.6498026
  • M. P. Craven, Z. Young, L. Simons, H. Schnädelbach and A. Gillott, "From Snappy App to Screens in the Wild: Gamifying an Attention Deficit Hyperactivity Disorder Continuous Performance Test for Public Engagement and Awareness," 2014 International Conference on Interactive Technologies and Games, Nottingham, 2014, pp. 36-43.doi: 10.1109/iTAG.2014.12
  • H. Tobar-Muñoz, R. Fabregat and S. Baldiris, "Using a videogame with augmented reality for an inclusive logical skills learning session," 2014 International Symposium on Computers in Education (SIIE), Logrono, 2014, pp. 189-194.doi: 10.1109/SIIE.2014.7017728
  • H. T. Muñoz, S. B. Navarro and R. Fabregat, "Gremlings in My Mirror: An Inclusive AR-Enriched Videogame for Logical Math Skills Learning," 2014 IEEE 14th International Conference on Advanced Learning Technologies, Athens, 2014, pp. 576-578.doi: 10.1109/ICALT.2014.168
  • L. Gómez and R. M. Carro, "Adaptive Training of Children with Attention Deficit Hyperactivity Disorder through Multi-touch Surfaces," 2014 IEEE 14th International Conference on Advanced Learning Technologies, Athens, 2014, pp. 561-563, doi: 10.1109/ICALT.2014.164
  • M. Clark-Turner and M. Begum, "Deep recurrent Q-learning of behavioral intervention delivery by a robot from demonstration data," 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Lisbon, 2017, pp. 1024-1029. doi: 10.1109/ROMAN.2017.8172429
  • M. Frutos-Pascual and B. G. Zapirain, "Guided crossword-puzzle games aimed at children with Attentional Deficit: Preliminary results," 2014 Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES), Louisville, KY, 2014, pp. 1-4.doi: 10.1109/CGames.2014.6934137
  • Natalia Vilor-Tejedor, Juan R. Gonzalez, and M. Luz Calle. 2016. Efficient and Powerful Method for Combining P-Values in Genome-Wide Association Studies. IEEE/ACM Trans. Comput. Biol. Bioinformatics 13, 6 (November 2016), 1100-1106. DOI: https://doi.org/10.1109/TCBB.2015.2509977
  • N. Pandria, D. Spachos and P. D. Bamidis, "The future of mobile health ADHD applications," 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL), Thessaloniki, 2015, pp. 279-282.doi: 10.1109/IMCTL.2015.7359603
  • T. S. Petrenko, V. S. Kublanov, A. A. Petrenko and K. J. Retyunskiy, "Application of the non-invasive adaptive neuroelectrostimulation device for treatment of cognitive impairment in the model of attention deficit hyperactivity disorder," 2016 Cognitive Sciences, Genomics and Bioinformatics (CSGB), Novosibirsk, 2016, pp. 1-5. doi: 10.1109/CSGB.2016.7587682
  • Rosenblum, Sara , Yom-Tov, Elad, “Seeking web-based information about attention deficit hyperactivity disorder: where, what, and when”, Journal of medical Internet research, Vol . 19, No. 4, 2017, JMIR Publications Inc.
  • S. Okada, N. Shiozawa and M. Makikawa, "Body movement in children with ADHD calculated using video images," Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, Hong Kong, 2012, pp. 60-61.doi: 10.1109/BHI.2012.6211505
  • S. Okada, N. Shiozawa and M. Makikawa, "Body movement in children with ADHD calculated using video images," Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, Hong Kong, 2012, pp. 60-61.doi: 10.1109/BHI.2012.6211505
  • B. Park, J. Kim and H. Park, "Differences in connectivity patterns between child and adolescent attention deficit hyperactivity disorder patients," 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016,pp.1127-1130.doi: 10.1109/EMBC.2016.7590902
  • B. A. Rahadian, C. Dewi and B. Rahayudi, "The performance of Genetic Algorithm Learning Vector Quantization 2 Neural Network on identification of the types of Attention Deficit Hyperactivity Disorder," 2017 International Conference on Sustainable Information Engineering and Technology (SIET), Malang, 2017, pp. 337-341.doi: 10.1109/SIET.2017.8304160
  • G. Yang, J. Liu, F. Xu and Z. Liu, "Sustained attention differences between children with ADHD and normal children based on auditory-visual stimulation," 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, 2012,pp.2922-2924.doi: 10.1109/CECNet.2012.6201980
  • J. Liu, G. Yang, F. Xu and M. Zhou, "The differences in coordination between children with ADHD and healthy children based on two-way ANOVA analysis," 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet),Yichang,2012,pp.2972-2975.doi: 10.1109/CECNet.2012.6201900
  • J. L. L. Marcano, M. A. Bell and A. A. L. Beex, "Classification of ADHD and non-ADHD using AR models," 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 363-366.doi: 10.1109/EMBC.2016.7590715
  • Hao, A.J.; He, B.L.; Yin, C.H.: 'Discrimination of ADHD children based on Deep Bayesian Network', IET Conference Proceedings, 2015, p. 6 .-6 ., DOI: 10.1049/cp.2015.0764IETDigitalLibrary,https://digitallibrary.theiet.org/content/conferences/10.1049 /cp.2015.0764
  • K. Chu, H. Huang and Y. Huang, "Machine learning approach for distinction of ADHD and OSA," 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, CA, 2016, pp. 1044-1049.doi: 10.1109/ASONAM.2016.7752370
  • M. Uluyagmur-Ozturk et al., "ADHD and ASD Classification Based on Emotion Recognition Data," 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, 2016, pp. 810-813.doi: 10.1109/ICMLA.2016.0145
  • M. Kaneko et al., "The comparison with the function of children's pronation and supination using acceleration and angular velocity sensors," The 5th 2012 Biomedical Engineering International Conference, Ubon Ratchathani, 2012, pp. 1-5, doi: 10.1109/BMEiCon.2012.6465423
  • M. Altinkaynak et al., "Investigating prefrontal hemodynamic responses in ADHD subtypes: A fNIRS study," 2017 10th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, 2017, pp. 611-614.
  • D. Sudha and M. P. Rani, "Gait Classification for ADHD Children Using Modified Dual Tree Complex Wavelet Transform," 2017 World Congress on Computing and Communication Technologies (WCCCT), Tiruchirappalli, 2017, pp. 215-218.doi: 10.1109/WCCCT.2016.60
  • S. Rodrak and Y. Wongsawat, "EEG brain mapping and brain connectivity index for subtypes classification of attention deficit hyperactivity disorder children during the eye-opened period," 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 7400-7403.doi: 10.1109/EMBC.2013.6611268
  • Yang Li, Zhichao Lian, Min Li, Zhonggeng Liu, Liang Xiao and Zhihui Wei, "ELM-based classification of ADHD patients using a novel local feature extraction method," 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, 2016, pp. 489-492. doi: 10.1109/BIBM.2016.7822566
  • D. Bodolai, L. Gazdi, B. Forstner and L. Szegletes, "Supervising Biofeedback-based serious games," 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom),Gyor,2015,pp.273-278.doi: 10.1109/CogInfoCom.2015.7390603
  • C. S. Fujiwara, C. M. Aderaldo, R. H. Filho and D. A. A. Chaves, "The Internet of Things as a Helping Tool in the Daily Life of Adult Patients with ADHD," GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6.doi: 10.1109/GLOCOM.2017.8254442
  • C. S and V. K, "An Approach to Measure and Improve the Cognitive Capability of ADHD Affected Children Through EEG Signals," 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT), Mumbai, 2018, pp. 314-318.doi: 10.1109/ICALT.2018.00079
  • D. Avila-Pesantez, L. A. Rivera, L. Vaca-Cardenas, S. Aguayo and L. Zuñiga, "Towards the improvement of ADHD children through augmented reality serious games: Preliminary results," 2018 IEEE Global Engineering Education Conference (EDUCON), Tenerife, 2018, pp.843-848.doi: 10.1109/EDUCON.2018.8363318
  • J. E. Muñoz, D. S. Lopez, J. F. Lopez and A. Lopez, "Design and creation of a BCI videogame to train sustained attention in children with ADHD," 2015 10th Computing Colombian Conference (10CCC), Bogota, 2015, pp. 194-199. doi: 10.1109/ColumbianCC.2015.7333431
  • V. Colombo, D. Baldassini, S. Mottura, M. Sacco, M. Crepaldi and A. Antonietti, "Antonyms: A serious game for enhancing inhibition mechanisms in children with Attention Deficit/Hyperactivity Disorder (ADHD)," 2017 International Conference on Virtual Rehabilitation (ICVR), Montreal, QC, 2017, pp. 1-2.doi: 10.1109/ICVR.2017.8007457
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