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Multi Sensorial Stimulation Lab: A New Approach for Severe Dementia

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Ambient Assisted Living (ForItAAL 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 725))

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Abstract

The MS-Lab project wants to implement a non-pharmacological method of multisensory stimulation aimed at reducing the sense of discomfort and improving the psycho-behavioral disorders typical of subjects with severe dementia, with the aim of improving the quality of life of patients, verifying effectiveness and safety of this method. This technological implementation is made possible by a wide and complex collaboration between organizations and companies with different skills. As described by practice and theory, appropriate sensory stimulation can lead to several improvements, such as: greater initiative of patients, greater vigilance, improvement in mood and interpersonal relations, greater attention and confusional state reduction. Moreover, positive effects could derive from the possible reduction of drugs and/or psychotropic drugs, with consequent reduction of pharmacological side effects and reduction of health costs, as well as decrease in the need for physical restraint. MS-Lab is experimenting a non-pharmacological therapy through a multisensory stimulation and intend to overcome some limits detected in this type of treatment, improving its effectiveness by supporting a framework designed as a complex system of input and output devices driven by an intelligent system able to modulate sensory stimuli according to the continuously measured biological parameters. The project also proposes to define a detailed protocol with an algorithm at the base of a dedicated software, in order to make this experience repeatable, producing data that can be freely used by experts, re-proposing it in a clinical contest or in any other environments to be defined ad hoc. Moreover, a multiplatform software layer will be designed and implemented to support Clinical Decisions (CDSS), supporting caregivers through suitable graphic interfaces on mobile devices, suggesting the most appropriate domains to be stimulated on the basis of current and past clinical parameters acquired from sensors’ ecosystem. MS-Lab will be installed at “Casa Amata”—a nursing home located in Taviano (Le), Italy—and at “Casa Sollievo della Sofferenza” —an hospital and Research Institution located in S. Giovanni Rotondo (Fg), Italy—with the aim of conducting simultaneous and co-planned experiments through the proposed treatment able to represent the best answer to the end-user needs.

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Authors and Affiliations

  1. Casa Amata srl, Via Rodolfo D’Ambrosio 18/20, Taviano (Le), Italy

    Alberto Boccadamo, Alessandra De Luca & Luca Palamà

  2. I.R.C.C.S. Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy

    Daniele Sancarlo

  3. National Research Council of Italy, Institute for Microelectronics and Microsystems, Lecce (Le), Italy

    Alessandro Leone, Giovanni Diraco & Pietro Siciliano

  4. Department of Environmental Sciences and Technologies, University of Salento, Lecce, Italy

    Antonio Toma, Michele Maffia & Lidia De Riccardis

  5. Ingel srl, Via Mantova 23, Conversano (Ba), Italy

    Leonardo D’Alessandro

  6. eResult srl, Piazzale Luigi Rava 46, Cesena (Fc), Italy

    Gianfranco Borrelli & Massimo Pistoia

Authors
  1. Alberto Boccadamo
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  2. Alessandra De Luca
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  3. Luca Palamà
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  4. Daniele Sancarlo
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  8. Antonio Toma
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  13. Massimo Pistoia
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Corresponding author

Correspondence to Alessandra De Luca .

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Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche, Ancona, Italy

    Andrea Monteriù

  2. Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche, Ancona, Italy

    Alessandro Freddi

  3. Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche, Ancona, Italy

    Sauro Longhi

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Boccadamo, A. et al. (2021). Multi Sensorial Stimulation Lab: A New Approach for Severe Dementia. In: Monteriù, A., Freddi, A., Longhi, S. (eds) Ambient Assisted Living. ForItAAL 2019. Lecture Notes in Electrical Engineering, vol 725. Springer, Cham. https://doi.org/10.1007/978-3-030-63107-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-63107-9_6

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