The Use of Smart Tools for Combined Training of People with MCI: A Case Report

  • Gianmaria MancioppiEmail author
  • Emanuela Castro
  • Laura Fiorini
  • Martina Maselli
  • Cecilia Laschi
  • Francesca Cecchi
  • Filippo Cavallo
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 544)


Dementia and Alzheimer’s Disease affects more than 35 million people worldwide. The onset and the development of this pathological condition are generally subtle and progressively. Nevertheless, is often possible identifying some precursors symptoms of the disease. A nosographic entity, which describes this condition between healthy and pathological aging, is called Mild Cognitive Impairment (MCI). Over the last years, several new technologies are entering in the field of medicine and neuropsychology, especially, Information and Communication Technologies (ICT). Today ICT are more and more being recognized as a valid instrument for assessment, treatment, and assistance of subjects who are suffering from MCI. This paper reports two case studies about the use of two new technological tools for the cognitive assessment and stimulation of elderly healthy people or subjects suffering from MCI. This study purpose is to investigate the peculiarities, in terms of cognitive performances, highlighted by the use of these smart systems, namely SmartWalk and SmartTapestry system.


Neuropsychological assessment Cognitive stimulation Mild cognitive impairment Information and communication technology 



The authors thank the clinical team (Marco Timpano Sportiello, Stefania Tocchini, Luca Tommasini, Cristiana Parrini, Chiara Rossi, Ilenia Natola, Aleksandra Podgorska) of Laboratory of Neuropsychology of Pontedera (USL nordovest Toscana) for their clinical support during the protocol definition and during the experimentation phase.


  1. 1.
    Association Alzheimers (2017) Alzheimers disease facts and figures. Alzheimer’s Dement 13:325–373Google Scholar
  2. 2.
    Bahar-Fuchs A, Clare L, Woods B (2013) Cognitive training and cognitive rehabilitation for mild to moderate alzheimers disease and vascular dementia: a review. Alzheimer’s Res Ther 5:35–49CrossRefGoogle Scholar
  3. 3.
    Ballesteros S, Kraft E, Santana S, Tziraki C (2015) Maintaining older brain functionality: a target review. Neurosci Biobehav Rev 55:453–477CrossRefGoogle Scholar
  4. 4.
    Brustio PR, Magistro D, Zecca M, Rabaglietti E, Liubicich ME (2017) Age-related decrements in dual-task performance: comparison of different mobility and cognitive tasks. a cross sectional study. PLoS One. Scholar
  5. 5.
    Charchat-Fichman H, Uehara E, Fernandes dos Santos C (2014) New technologies in assessment and neuropsychological rehabilitation. Trends Psychol 22:539–553Google Scholar
  6. 6.
    Fiorini L, Maselli M, Castro E, Tocchini S, Sportiello MT, Laschi C, Cecchi F, Cavallo F (2017) Feasibility study on the assessment of auditory sustained attention through walking motor parameters in mild cognitive impairments and healthy subject. In: EMBC.
  7. 7.
    Garca-Betances RI, Cabrera-Umpirrez MF, Arredondo MT (2018) Computerized neurocognitive interventions in the context of the brain training controversy. Rev Neurosci 29:55–69CrossRefGoogle Scholar
  8. 8.
    Garcia-Casal JA, Franco-Martin M, Parea-Bartolome MV, Toribo-Guzman JM, Garcia-Moja C, Goni-Imizcoz M, Csipke E (2017) Electronic devices for cognitive impairment screening: a systematic literature review. Int J Technol Assess Health Care 33:1–20CrossRefGoogle Scholar
  9. 9.
    Gros A, Bensamoun D, Manera V, Fabre R, Zacconi-Cauvin A, Thummler S, Benoit M, Robert P (2016) Reccomendations for the Use of ICT in eldery populations with affective disorders. Front Aging Neurosci 8:269–281CrossRefGoogle Scholar
  10. 10.
    Hartman DE (2009) Wechsler adult intelligence scale IV (WAIS IV): return of the gold standard. Appl Neuropsychol 16:85–87CrossRefGoogle Scholar
  11. 11.
    Kueider AM, Parisi JM, Gross AL, Rebok GW (2012) Computerized cognitive training with older adults: a systematic review. PLoS One 7:1–13CrossRefGoogle Scholar
  12. 12.
    Law LLF, Barnet F, Yau MK, Gray MA (2014) Effects of combined cognitive and exercise interventions on cognition in older adults with and without cognitive impairment: a systematic review. Ageing Res Rev 15:61–75CrossRefGoogle Scholar
  13. 13.
    Lee TMC, Chan FHW, Chu LW, Kwok TCY, Lam LCW, Tam HMK, Woo J (2017) Auditory-based cognitive training programme for attention and memory in older people at risk of progressive cognitive decline: a randomised controlled trial. Hong Kong Med J 23:12–5Google Scholar
  14. 14.
    Maselli M, Fiorini L, Castro E, Baldoli I, Tocchini S, Sportiello MT, Cavallo F, Cecchi F, Laschi C (2017) Development and testing of a new cognitive technological tool for episodic memory: a feasibility study. In: EMBC.
  15. 15.
    McGough EL, Kelly VE, Weaver KE, Logsdon RG, McCurry SM, Pike KC, Grabowski TJ, Teri L (2018) Limbic and basal ganglia neuroanatomical correlates of gait and executive function: older adults with mild cognitive impairment and intact cognition. Am J Phys Med Rehabil 97:229–235CrossRefGoogle Scholar
  16. 16.
    Murphy SL, Kochanek KD, Xu J, Heron M (2015) Deaths: final data for. Natl Vital Stat Rep 63:1–117Google Scholar
  17. 17.
    Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E (1999) Mild cognitive impairment: clinical characterization and outcome. Arch Neurol 56:303–308CrossRefGoogle Scholar
  18. 18.
    Shams L, Seitz AR (2008) Benefits of multisensory learning. Trends Cogn Sci 12:411–417CrossRefGoogle Scholar
  19. 19.
    Talassi E, Guerreschi M, Feriani M, Fedi V, Bianchetti A, Trabucchi M (2007) Effectiveness of a cognitive rehabilitation program in mild dementia (MD) and mild cognitive impairment (MCI): a case control study. Arch Gerontol Geriatr 44:391–9CrossRefGoogle Scholar
  20. 20.
    Verghese J, Robbins M, Holtzer R, Zimmerman M, Wang C, Xue X, Lipton RB (2008) Gait dysfunction in mild cognitive impairment syndromes. J Am Geriatr Soc 56:1244–1251CrossRefGoogle Scholar
  21. 21.
    Zimmermann P, Fimm B (1995) Test battery for attention performance. Psytest, WuerselenGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gianmaria Mancioppi
    • 1
    Email author
  • Emanuela Castro
    • 1
  • Laura Fiorini
    • 1
  • Martina Maselli
    • 1
  • Cecilia Laschi
    • 1
  • Francesca Cecchi
    • 1
  • Filippo Cavallo
    • 1
  1. 1.The BioRobotics Institute, Scuola Superiore Sant’AnnaPontedera, PisaItaly

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