Abstract
Due to the increase in life expectancy, the prevalence of chronic, cardiovascular and neurodegenerative diseases has increased. In this regard, the increase in cognitive impairment (CI), both in the mild phase, mild cognitive impairment (MCI), and in the more severe cases defined as dementia, is also noteworthy. It has been observed that between 5 and 15% of cases of MCI progress annually to dementia. It is therefore important to detect MCI early, not only because some cases are at high risk of progressing to dementia, but also because early detection of MCI allows to adopt strategies that improve the quality of life of those patients. Although there are numerous non-pharmacological therapies that have been shown to be effective, therapy with dolls or plush toys is noteworthy, as it has been shown to improve the well-being of people with dementia as well as other pathologies. The electronic plush toy is therefore able to provide solutions to different study scenarios and problems that we encounter in therapy, not only in the case of cognitive impairment. Among these needs it is also a good support for children and families against any kind of stress and anxiety caused by clinical treatments and hospitalisations. Through the therapeutic use of plush toys we are able to prepare patients for their clinical interventions and to be a form of temporary distraction from pain with integrated playful interactions and intervention methods.
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References
Márquez-Sáncheza, S., Mora-Simonb, S., Herrera-Santosa, J., Roncerod, A.O., Corchadoa, J.M.: Intelligent Dolls and robots for the treatment of elderly people with dementia. Adv. Distrib. Comput. Art. Intell. J. 9(1), 99–112 (2020)
Ferri, C.P., Prince, M., Brayne, C., Brodaty, H., Fratiglioni, L., Ganguli, M., Hall, K., Hasegawa, K., Hendrie, H., Huang, Y., Scazufca, M.: Global prevalence of dementia: a Delphi consensus study. Lancet 366(9503), 2112–2117 (2005)
Albert, U., Tomassi, S., Maina, G., Tosato, S.: Prevalence of non-psychotic disorders in ultra-high risk individuals and transition to psychosis: a systematic review. Psychiatry Res. 270, 1–12 (2018)
McKhann, G.M., Knopman, D.S., Chertkow, H., Hyman, B.T., Jack Jr, C.R., Kawas, C.H., Klunk, W.E., Koroshetz, W.J., Manly, J.J., Mayeux, R., Phelps, C.H.: The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dementia 7(3), 263–269
Khan, A., Zubair, S., Khan, S.: Comprehensive performance analysis of neurodegenerative disease incidence in the females of 60–96 year age group. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 10(2) (2021). https://doi.org/10.14201/ADCAIJ2021102183196
Sperling, R.A., Aisen, P.S., Beckett, L.A., Bennett, D.A., Craft, S., Fagan, A.M., Phelps, C.H.: Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dement. 7(3), 280–292 (2011)
Olazarán, J., Reisberg, B., Clare, L., Cruz, I., Peña-Casanova, J., Del Ser, T., Muñiz, R.: Nonpharmacological therapies in Alzheimer’s disease: a systematic review of efficacy. Dement. Geriatr. Cogn. Disord. 30(2), 161–178 (2010)
Bondioli, M., Chessa, S., Narzisi, A., Pelagatti, S., Piotrowicz, D.: Capturing play activities of young children to detect autism red flags. Adv. Intell. Syst. Comput. 1006, 71–79 (2020)
Smith, R.: Adaptivity as a service (AaaS): personalised assistive robotics for ambient assisted living. Adv. Intell. Syst. Comput. AISC 1239, 239–242 (2021)
Smith, R., Ding, Y., Goussetis, G., Dragone, M.: A cots (UHF) RFID floor for device-free ambient assisted living monitoring. Adv. Intell. Syst. Comput. AISC 1239, 127–136 (2021)
Stavropoulos, T., Meditskos, G., Papagiannopoulos, S., Kompatsiaris, I.: eHealth4MS: problem detection from wearable activity trackers to support the care of multiple sclerosis. Adv. Intell. Syst. Comput. AISC 1239, 3–12 (2021)
Jung, M.M., Van der Leij, L., Kelders, S.M.: An exploration of the benefits of an animallike robot companion with more advanced touch interaction capabilities for dementia care. Front. ICT 4, 16 (2017)
Iacono, I., Marti, P.: Narratives and emotions in seniors affected by dementia: A comparative study using a robot and a toy. In: 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 318–323. IEEE (2016)
Jøranson, N., Pedersen, I., Rokstad, A.M.M., Ihlebaek, C.: Effects on symptoms of agitation and depression in persons with dementia participating in robot-assisted activity: a cluster-randomized controlled trial. J. Am. Med. Directors Assoc. 16(10), 867–873 (2015)
Moyle, W., Jones, C., Dwan, T., Ownsworth, T., Sung, B.: Using telepresence for social connection: views of older people with dementia, families, and health professionals from a mixed methods pilot study. Aging Mental Health 23(12), 1643–1650 (2019)
Feng, Y., Yu, S., Van De Mortel, D., Barakova, E., Hu, J., Rauterberg, M.: LiveNature: ambient display and social robot-facilitated multi-sensory engagement for people with dementia. In: Proceedings of the 2019 on designing interactive systems conference, pp. 1321–1333
Jøranson, N., Pedersen, I., Rokstad, A.M.M., Ihlebaek, C.: Change in quality of life in older people with dementia participating in Paro-activity: a cluster-randomized controlled trial. J. Adv. Nurs. 72(12), 3020–3033 (2016)
Jøranson, N., Pedersen, I., Rokstad, A.M.M., Aamodt, G., Olsen, C., Ihlebæk, C.: Group activity with Paro in nursing homes: systematic investigation of behaviors in participants. Int. Psychogeriatr. 28(8), 1345–1354 (2016)
Bowlby, J.: Attachment and loss: volume I: attachment. In: Attachment and loss: Volume I: attachment, pp. 1–401. The Hogarth Press and the Institute of Psycho-Analysis, London (1969)
Verity, J.: Dolls in dementia care: bridging the divide. J. Dementia Care 14(1), 25 (2006)
Mitchell, G., O’Donnell, H.: The therapeutic use of doll therapy in dementia. British J. Nurs. 22(6), 329–334 (2013)
Jamal, A., Munshi, A., Aljojo, N., Qadah, T., Zainol, A.: Digital information needs for understanding cell divisions in the human body (2020)
Gupta, S., Meena, J., Gupta, O.: Neural network based epileptic EEG detection and classification. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 9(2), 23–32 (2020)
Srivastav, R.K., Agrawal, D., Shrivastava, A.: A survey on vulnerabilities and performance evaluation criteria in blockchain technology. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 9(2), 91–105 (2020)
Costa, Â., Novais, P., Corchado, J., Neves, J.: Increased performance and better patient attendance in an hospital with the use of smart agendas. Logic J. IGPL 20(4), 689–698 (2012)
Miguel Tomé, S.: Towards a model-theoretic framework for describing the semantic aspects of cognitive processes. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 8(4), 83–96 (2020). https://doi.org/10.14201/ADCAIJ2019848396
Moyle, W., Jones, C., Murfield, J., Thalib, L., Beattie, E., Shum, D., Draper, B.: Using a therapeutic companion robot for dementia symptoms in long-term care: reflections from a cluster-RCT. Aging Mental Health 23(3), 329–336 (2019)
Fatima, N. (2020) Enhancing performance of a deep neural network: a comparative analysis of optimization algorithms. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 9(2), 79–90
Acknowledgements
This work has been supported by the project “XAI - XAI - Sistemas Inteligentes Auto Explicativos creados con Módulos de Mezcla de Expertos”, ID SA082P20, financed by Junta Castilla y León, Consejería de Educación, and FEDER funds.
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Márquez-Sánchez, S., Herrera-Santos, J., Mora-Simon, S., Rodríguez-González, S. (2023). Electronic Plush Toy as a Non-pharmacological Tool in Therapies. In: Julián, V., Carneiro, J., Alonso, R.S., Chamoso, P., Novais, P. (eds) Ambient Intelligence—Software and Applications—13th International Symposium on Ambient Intelligence. ISAmI 2022. Lecture Notes in Networks and Systems, vol 603. Springer, Cham. https://doi.org/10.1007/978-3-031-22356-3_11
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