Skip to main content
SpringerLink
Log in

Quantitative EEG and Virtual Reality to Support Post-stroke Rehabilitation at Home

  • Conference paper
  • First Online:
Innovation in Medicine and Healthcare 2016 (InMed 2016)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 60))

Included in the following conference series:

Abstract

Post-stroke rehabilitation has an enormous impact on health services worldwide because of the high prevalence of stroke, in continuous growth due to the progressive population aging. Systems for neuro-motor rehabilitation at home can help reduce the economic burden of long lasting treatment in chronic post-stroke patients; however the efficacy of these systems in providing a correct and effective rehabilitation should be established. From this point of view, coupling home rehabilitation systems with quantitative EEG methodologies for objectively characterizing patients’ cerebral activity could be useful for the clinician to optimize the rehabilitation protocol and assess its efficacy. Moreover, the use of virtual/augmented reality technologies could assist the patients during unsupervised rehabilitation by providing an empathic feedback to improve their adherence to the treatment. These two aspects were studied and implemented in RIPRENDO@home, a multidisciplinary project, aimed to develop an integrated technological platform oriented to home neurorehabilitation for stroke patients.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. World Health Organization: The Global Burden of Disease: 2004 update. Update, vol. 2010 (2008). doi:10.1038/npp.2011.85

    Google Scholar 

  2. Millán, M., Dávalos, A.: The need for new therapies for acute ischaemic stroke. Cerebrovasc. Dis. 22, 3–9 (2006)

    Article  Google Scholar 

  3. WHO: Neurological disorders: a public health approach. Neurol. Disord. Public Health Challeng., 41–176 (2006)

    Google Scholar 

  4. Johnson, M.J., Feng, X., Johnson, L.M., Winters, J.M.: Potential of a suite of robot/computer-assisted motivating systems for personalized, home-based, stroke rehabilitation. J. Neuroeng. Rehabil. 4, 6 (2007)

    Article  Google Scholar 

  5. Corsi-Cabrera, M., Galindo-Vilchis, L., del-Río-Portilla, Y., Arce, C., Ramos-Loyo, J.: Within-subject reliability and inter-session stability of EEG power and coherent activity in women evaluated monthly over nine months. Clin. Neurophysiol. 118, 9–21 (2007)

    Google Scholar 

  6. Finnigan, S., van Putten, M.J.A.M.: EEG in ischaemic stroke: quantitative EEG can uniquely inform (sub-)acute prognoses and clinical management. Clin. Neurophysiol. 124, 10–19 (2013)

    Article  Google Scholar 

  7. Leon-Carrion, J., Martin-Rodriguez, J.F., Damas-Lopez, J., Barroso y Martin, J.M., Dominguez-Morales, M.R.: Delta-alpha ratio correlates with level of recovery after neurorehabilitation in patients with acquired brain injury. Clin. Neurophysiol. 120, 1039–1045 (2009)

    Google Scholar 

  8. Pfurtscheller, G.: Lopes da Silva, F.H.: Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophysiol. 110, 1842–1857 (1999)

    Article  Google Scholar 

  9. Sale, P., Infarinato, F., Del Percio, C., Lizio, R., Babiloni, C., Foti, C., Franceschini, M.: Electroencephalographic markers of robot-aided therapy in stroke patients for the evaluation of upper limb rehabilitation. Int. J. Rehabil. Res. Int. Zeitschrift für Rehabil. Rev. Int. Rech. Réadaptation. 38, 294–305 (2015)

    Google Scholar 

  10. Gandolfi, M., Formaggio, E., Geroin, C., Storti, S.F., Boscolo Galazzo, I., Waldner, A., Manganotti, P., Smania, N.: Electroencephalographic changes of brain oscillatory activity after upper limb somatic sensation training in a patient with somatosensory deficit after stroke. Clin. EEG Neurosci. 46, 347–352 (2015)

    Google Scholar 

  11. Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134, 9–21 (2004)

    Article  Google Scholar 

  12. Iriarte, J., Urrestarazu, E., Valencia, M., Alegre, M., Malanda, A., Viteri, C., Artieda, J.: Independent component analysis as a tool to eliminate artifacts in EEG: a quantitative study. J. Clin. Neurophysiol. 20, 249–257 (2003)

    Article  Google Scholar 

  13. Makeig, S.: Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones. Electroencephalogr. Clin. Neurophysiol. 86, 283–293 (1993)

    Article  Google Scholar 

  14. Pfurtscheller, G.: Functional brain imaging based on ERD/ERS. Vis. Res. 41, 1257–1260 (2001)

    Article  Google Scholar 

  15. Wolf, S.L., Blanton, S., Baer, H., Breshears, J., Butler, A.J.: Repetitive task practice: a critical review of constraint-induced movement therapy in stroke. Neurologist 8, 325–338 (2002)

    Google Scholar 

  16. Johnson, M.J., Johnson, L.M., Ramachandran, B., Winters, J.M., Kosasih, J.B.: Robotic Systems that Rehabilitate as well as Motivate: Three Strategies for Motivating Impaired Arm Use. In: The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. pp. 254–259. IEEE (2006)

    Google Scholar 

  17. Shah, N., Basteris, A., Amirabdollahian, F.: Design parameters in multimodal games for rehabilitation. Games Health J. 3, 13–20 (2014)

    Article  Google Scholar 

  18. Flores, E., Tobon, G., Cavallaro, E., Cavallaro, F.I., Perry, J.C., Keller, T.: Improving patient motivation in game development for motor deficit rehabilitation. In: Proceedings 2008 International Conference on Advances in Computer Entertainment Technology—ACE ’08, vol. 7, p. 381 (2008)

    Google Scholar 

  19. Bayón-Calatayud, M., Peri, E., Fernández Nistal, F., Duff, M., Nieto-Escámez, F., Lange, B., Koenig, S.: Virtual rehabilitation. In: Emerging Therapies in Neurorehabilitation II, pp. 1–11 (2015)

    Google Scholar 

  20. Pastor, I., Hayes, H.A., Bamberg, S.J.M.: A feasibility study of an upper limb rehabilitation system using Kinect and computer games. In: Conference on Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1286–1289 (2012)

    Google Scholar 

  21. M. F. Levin, J. E. Deutsch, M. Kafri, and D. G. Liebermann, “Validity of Virtual Reality Environments for Sensorimotor Rehabilitation,” in Virtual Reality for Physical and Motor Rehabilitation, Springer, 2014, pp. 95–118

    Google Scholar 

  22. Parker, J., Mawson, S., Mountain, G., Nasr, N., Zheng, H.: Stroke patients’ utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation. BMC Med. Inf. Decis. Mak. 14, 46 (2014)

    Article  Google Scholar 

  23. Kiper, P., Agostini, M., Luque-Moreno, C., Tonin, P., Turolla, A.: Reinforced feedback in virtual environment for rehabilitation of upper extremity dysfunction after stroke: preliminary data from a randomized controlled trial. Biomed Res. Int. 2014, 752128 (2014)

    Article  Google Scholar 

  24. Zangiacomi, A., Redaelli, C., Valentini, F., Bernardelli, G.: Design of interaction in a virtual environment for post-stroke rehabilitation: a cognitive perspective. In: 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom). pp. 167–172. IEEE (2014)

    Google Scholar 

  25. Mottura, S., Arlati, S., Fontana, L., Sacco, M.: Enhancing awareness and personification by virtual reality and multimedia means in post-stroke patients during rehabilitation. In: 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom). pp. 179–184. IEEE (2014)

    Google Scholar 

  26. Mottura, S., Fontana, L., Arlati, S., Zangiacomi, A., Redaelli, C., Sacco, M.: A virtual reality system for strengthening awareness and participation in rehabilitation for post-stroke patients. J. Multimodal User Interfaces. 9, 341–351 (2015)

    Article  Google Scholar 

  27. S. Mottura, L. Fontana, S. Arlati, C. Redaelli, A. Zangiacomi, and M. Sacco, Focus on Patient in Virtual Reality-Assisted Rehabilitation in Virtual Reality Enhanced Robotic Systems for Disability Rehabilitation, p. 85 (2016)

    Google Scholar 

  28. Hall, A.M., Ferreira, P.H., Maher, C.G., Latimer, J., Ferreira, M.L.: The influence of the therapist-patient relationship on treatment outcome in physical rehabilitation: a systematic review. Phys. Ther. 90, 1099–1110 (2010)

    Article  Google Scholar 

  29. Maclean, N., Pound, P.: A critical review of the concept of patient motivation in the literature on physical rehabilitation. Soc. Sci. Med. 50, 495–506 (2000)

    Article  Google Scholar 

  30. Bates, J.: The role of emotion in believable agents. Commun. ACM 37, 122–125 (1994)

    Article  Google Scholar 

Download references

Acknowledgements

The authors wish to thank Dr. Fabio Rastelli for his useful contribution in EEG acquisitions and Dr. Stefano Mottura, Dr. Claudia Redaelli and Dr. Andrea Zangiacomi for their contribution to the REAPP development. The authors want to thank the Scientific Institute IRCCS Eugenio Medea (Bosisio Parini, Italy) and the Lombardy Cluster “Technologies for Living Environments” for supporting the project activity.

The work was performed within the RIPRENDO@Home Project, regional research project funded inside the Framework Agreement between Regione Lombardia and National Research Council, D.G.R. n. 3728-11/07/2012.

Author information

Authors and Affiliations

  1. Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Consiglio Nazionale delle Ricerche, via Fratelli Cervi 93, 20090, Segrate, MI, Italy

    Alfonso Mastropietro, Simona Mrakic-Sposta, Cristina Franchin & Giovanna Rizzo

  2. Istituto di Tecnologie Industriali e Automazione (ITIA), Consiglio Nazionale delle Ricerche, via Bassini 15, 20133, Milan, Italy

    Sara Arlati, Luca Fontana, Matteo Malosio & Marco Sacco

  3. Istituto per l’Energetica e le Interfasi (IENI), Consiglio Nazionale delle Ricerche, Corso Promessi Sposi 29, 23900, Lecco, Italy

    Simone Pittaccio

  4. Villa Beretta, Ospedale Valduce, via Nazario Sauro 17, 23845, Costa Masnaga, LC, Italy

    Cristina Gramigna & Franco Molteni

Authors
  1. Alfonso Mastropietro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sara Arlati
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Simona Mrakic-Sposta
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Luca Fontana
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Cristina Franchin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Matteo Malosio
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Simone Pittaccio
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Cristina Gramigna
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Franco Molteni
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Marco Sacco
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Giovanna Rizzo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alfonso Mastropietro .

Editor information

Editors and Affiliations

  1. College of Info Science & Eg, Ritsumeikan University College of Info Science & Eg, Kusatsu, Shiga, Japan

    Yen-Wei Chen

  2. Dept of Media Technology, Ritsumeikan University Dept of Media Technology, Kusatsu, Shiga, Japan

    Satoshi Tanaka

  3. KES International , Shoreham-by-sea, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Mastropietro, A. et al. (2016). Quantitative EEG and Virtual Reality to Support Post-stroke Rehabilitation at Home. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare 2016. InMed 2016. Smart Innovation, Systems and Technologies, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-319-39687-3_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39687-3_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39686-6

  • Online ISBN: 978-3-319-39687-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation