Skip to main content
SpringerLink
Log in

A Rehabilitation System for Post-operative Heart Surgery

  • Conference paper
  • First Online:
Book cover Intelligent Interactive Multimedia Systems and Services 2017 (KES-IIMSS-18 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 76))

Abstract

Supervised exercise programs are an important aspect of the rehabilitation process of patients after heart surgery. A large number of factors must be taken into account before implementing a rehabilitation program. These mainly consist in the patient’s cognitive and physical capabilities after the operation and the expectations of recovery. A rehabilitation program should also be designed in relation to the stage of the healing process, with the therapist selecting the best sequence of exercises while taking into account the most appropriate effort level for the patient. This paper describes a customizable rehabilitation system for the early post-operative period, useful for the performance of an assessment of the patients, through an evaluation of their cognitive and motor abilities, and for a dynamic personalization of the therapy sessions focused on patient needs.

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. Ageing report 2015. http://europa.eu/epc/pdf/ageing_report_2015_en.pdf

  2. Key figures on Europe - 2015 edition. http://ec.europa.eu/eurostat/web/products-statistical-books/-/KS-EI-15-001

  3. Unity 3d. https://unity3d.com/

  4. Adinolfi, F., Caggianese, G., Gallo, L., Grosso, J., Infarinato, F., Marchese, N., Sale, P., Spaltro, E.: SmartCARE—an ICT platform in the domain of stroke pathology to manage rehabilitation treatment and telemonitoring at home. In: Pietro, G., Gallo, L., Howlett, R.J., Jain, L.C. (eds.) Intelligent Interactive Multimedia Systems and Services 2016. SIST, vol. 55, pp. 39–49. Springer, Cham (2016). doi:10.1007/978-3-319-39345-2_4

    Chapter  Google Scholar 

  5. Amato, F., Colace, F., Greco, L., Moscato, V., Picariello, A.: Semantic processing of multimedia data for e-government applications. J. Vis. Lang. Comput. 32, 35–41 (2016)

    Article  Google Scholar 

  6. Amato, F., Moscato, F.: A model driven approach to data privacy verification in e-health systems. Trans. Data Priv. 8(3), 273–296 (2015)

    Google Scholar 

  7. Amato, F., Moscato, F.: Pattern-based orchestration and automatic verification of composite cloud services. Comput. Electr. Eng. 56, 842–853 (2016)

    Article  Google Scholar 

  8. Amato, F., Moscato, F.: Exploiting cloud and workflow patterns for the analysis of composite cloud services. Future Gener. Comput. Syst. 67, 255–265 (2017)

    Article  Google Scholar 

  9. ATS Committee on Prociency Standards for Clinical Pulmonary Function Laboratories, et al.: ATS statement: guidelines for the six-minute walk test. Am. J. Respir. Crit. Care Med. 166(1), 111 (2002)

    Google Scholar 

  10. Bao, X., Mao, Y., Lin, Q., Qiu, Y., Chen, S., Li, L., et al.: Mechanism of kinect-based virtual reality training for motor functional recovery of upper limbs after subacute stroke. Neural Regener. Res. 8(31), 2904 (2013)

    Google Scholar 

  11. Bogdanova, Y., Yee, M.K., Ho, V.T., Cicerone, K.D.: Computerized cognitive rehabilitation of attention and executive function in acquired brain injury: a systematic review. J. Head Trauma Rehabil. 31(6), 419–433 (2016)

    Article  Google Scholar 

  12. Brancati, N., Caggianese, G., Frucci, M., Gallo, L., Neroni, P.: Touchless target selection techniques for wearable augmented reality systems. In: Damiani, E., Howlett, R.J., Jain, L.C., Gallo, L., De Pietro, G. (eds.) Intelligent Interactive Multimedia Systems and Services. SIST, vol. 40, pp. 1–9. Springer, Cham (2015). doi:10.1007/978-3-319-19830-9_1

    Google Scholar 

  13. Della Vecchia, G., Gallo, L., Esposito, M., Coronato, A.: An infrastructure for smart hospitals. Multimed. Tools Appl. 59(1), 341–362 (2012)

    Article  Google Scholar 

  14. Essmaeel, K., Gallo, L., Damiani, E., De Pietro, G., Dipanda, A.: Comparative evaluation of methods for filtering kinect depth data. Multimed. Tools Appl. 74(17), 7331–7354 (2015)

    Article  Google Scholar 

  15. Hietanen, E.: Cardiovascular responses to static exercise. Scand. J. Work Environ. Health 10, 397–402 (1984)

    Article  Google Scholar 

  16. Karashanov, A., Manolova, A., Neshov, N.: Application for hand rehabilitation using leap motion sensor based on a gamification approach. Int. J. Adv. Res. Sci. Eng. 5(2), 61–69 (2016)

    Google Scholar 

  17. Mitchell, J.H., Wildenthal, K.: Static (isometric) exercise and the heart: physiological and clinical considerations. Ann. Rev. Med. 25(1), 369–381 (1974)

    Article  Google Scholar 

  18. Mousavi Hondori, H., Khademi, M.: A review on technical and clinical impact of microsoft kinect on physical therapy and rehabilitation. J. Med. Eng. 2014, 846514 (2014)

    Article  Google Scholar 

  19. Rego, P.A., Moreira, P.M., Reis, L.P.: Natural user interfaces in serious games for rehabilitation. In: 6th Iberian Conference on Information Systems and Technologies, pp. 1–4 (2011)

    Google Scholar 

  20. Ren, W., Pu, F., Fan, X., Li, S., Sun, L., Li, D., et al.: Kinect-based skeleton-matching feedback for motor rehabilitation: transient performance effect of shoulder training. J. Mech. Med. Biol. 16(03), 1650037 (2016)

    Article  Google Scholar 

  21. Sannino, G., De Pietro, G.: An evolved ehealth monitoring system for a nuclear medicine department. In: Developments in E-systems Engineering, pp. 3–6 (2011)

    Google Scholar 

  22. Shapii, A., Mat Zin, N.A., Elaklouk, A.M.: A game system for cognitive rehabilitation. BioMed Res. Int. 2015, 493562 (2015)

    Google Scholar 

  23. Standen, P., Threapleton, K., Richardson, A., Connell, L., Brown, D., Battersby, S., Platts, F., Burton, A.: A low cost virtual reality system for home based rehabilitation of the upper limb following stroke: a randomised controlled feasibility trial. Clin. Rehabil. 31, 340–350 (2016)

    Article  Google Scholar 

  24. Stephens, R.S., Shah, A.S., Whitman, G.J.: Lung injury and acute respiratory distress syndrome after cardiac surgery. Ann. Thoracic Surg. 95(3), 1122–1129 (2013)

    Article  Google Scholar 

  25. Sáenz-de Urturi, Z., Zapirain, B.G., Zorrilla, A.M.: Kinect-based virtual game for motor and cognitive rehabilitation: a pilot study for older adults. In: 8th International Conference on Pervasive Computing Technologies for Healthcare, pp. 262–265 (2014)

    Google Scholar 

  26. Zephyr Techonology: New Zephyr BioPatch Monitoring Device for Human Performance. http://zephyranywhere.com/

  27. Zheng, H., et al.: SMART rehabilitation: implementation of ICT platform to support home-based stroke rehabilitation. In: Stephanidis, C. (ed.) UAHCI 2007. LNCS, vol. 4554, pp. 831–840. Springer, Heidelberg (2007). doi:10.1007/978-3-540-73279-2_93

    Chapter  Google Scholar 

Download references

Acknowledgments

This work has been supported by the project “eHealthNet: Ecosistema software per la Sanità Elettronica” (PON03PE_00128_1).

Author information

Authors and Affiliations

  1. Institute for High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Naples, Italy

    Giuseppe Caggianese, Giuseppe De Pietro, Luigi Gallo & Giovanna Sannino

  2. Department of Medicine and Surgery, University of Salerno, Baronissi, Italy

    Mariaconsiglia Calabrese & Carmine Vecchione

  3. S Giovanni di Dio e Ruggi d’Aragona Hospital, Salerno, Italy

    Mariaconsiglia Calabrese

  4. Computer Science Department, University of Salerno, Fisciano, Italy

    Vincenzo De Maio & Armando Faggiano

  5. I.R.C.C.S. Neurological Mediterranean Institute NEUROMED, Pozzilli, Italy

    Carmine Vecchione

Authors
  1. Giuseppe Caggianese
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mariaconsiglia Calabrese
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vincenzo De Maio
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Giuseppe De Pietro
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Armando Faggiano
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Luigi Gallo
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Giovanna Sannino
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Carmine Vecchione
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Giuseppe Caggianese .

Editor information

Editors and Affiliations

  1. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Giuseppe De Pietro

  2. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Luigi Gallo

  3. Fern Barrow, Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Caggianese, G. et al. (2018). A Rehabilitation System for Post-operative Heart Surgery. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59480-4_55

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59479-8

  • Online ISBN: 978-3-319-59480-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation