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KinoHaptics: An Automated, Wearable, Haptic Assisted, Physio-therapeutic System for Post-surgery Rehabilitation and Self-care

  • Vijay RajannaEmail author
  • Patrick Vo
  • Jerry Barth
  • Matthew Mjelde
  • Trevor Grey
  • Cassandra Oduola
  • Tracy HammondEmail author
Patient Facing Systems
Part of the following topical collections:
  1. Patient Facing Systems

Abstract

A carefully planned, structured, and supervised physiotherapy program, following a surgery, is crucial for the successful diagnosis of physical injuries. Nearly 50 % of the surgeries fail due to unsupervised, and erroneous physiotherapy. The demand for a physiotherapist for an extended period is expensive to afford, and sometimes inaccessible. Researchers have tried to leverage the advancements in wearable sensors and motion tracking by building affordable, automated, physio-therapeutic systems that direct a physiotherapy session by providing audio-visual feedback on patient’s performance. There are many aspects of automated physiotherapy program which are yet to be addressed by the existing systems: a wide classification of patients’ physiological conditions to be diagnosed, multiple demographics of the patients (blind, deaf, etc.), and the need to pursue patients to adopt the system for an extended period for self-care. In our research, we have tried to address these aspects by building a health behavior change support system called KinoHaptics, for post-surgery rehabilitation. KinoHaptics is an automated, wearable, haptic assisted, physio-therapeutic system that can be used by a wide variety of demographics and for various physiological conditions of the patients. The system provides rich and accurate vibro-haptic feedback that can be felt by the user, irrespective of the physiological limitations. KinoHaptics is built to ensure that no injuries are induced during the rehabilitation period. The persuasive nature of the system allows for personal goal-setting, progress tracking, and most importantly life-style compatibility. The system was evaluated under laboratory conditions, involving 14 users. Results show that KinoHaptics is highly convenient to use, and the vibro-haptic feedback is intuitive, accurate, and has shown to prevent accidental injuries. Also, results show that KinoHaptics is persuasive in nature as it supports behavior change and habit building. The successful acceptance of KinoHaptics, an automated, wearable, haptic assisted, physio-therapeutic system proves the need and future-scope of automated physio-therapeutic systems for self-care and behavior change. It also proves that such systems incorporated with vibro-haptic feedback encourage strong adherence to the physiotherapy program; can have profound impact on the physiotherapy experience resulting in higher acceptance rate.

Keywords

Wearable computing Physiotherapy Haptics Persuasive system Self-care Medical informatics Health behavior change support system Persuasive technology Kinect Vibrotactile feedback Ubiquitous systems 

Notes

Acknowledgments

We would like to thank members of the Sketch Recognition Lab10 and Dr. Daniel Goldberg for their support in the ideation of this paper. We would also like to thank TAMU students David Turner, Raniero A. Lara-Garduno, Stephanie Valentine, Seth Polsley, Kaushik Sinha and Larry Powell; IAP members George Wu and Frank Gia from General Motors, Deian Tabakov from Schlumberger, Matt Lineberger from Pariveda Solutions, and Chris Curran from PricewaterhouseCoopers for their feedback. Lastly we would like to thank the Texas A & M department of Computer Science and Engineering for funding this project as well as Dr. Da Silva, our department head, for support throughout the semester.

References

  1. 1.
    Lucke, K.T., Coccia, H., Goode, J.S., and Lucke, J.F., Quality of life in spinal cord injured individuals and their caregivers during the initial 6 months following rehabilitation. Qual. Life Res. 13(1):97–110, 2004.CrossRefPubMedGoogle Scholar
  2. 2.
    Bassett, S.F., The assessment of patient adherence to physiotherapy rehabilitation. N. Z. J. Physiother. 31 (2):60–66, 2003.Google Scholar
  3. 3.
    Hong, Y., Development of icanfit: A mobile device application to promote physical activity and access to health information among older cancer survivors. In: 142nd APHA Annual Meeting and Exposition (November 15-November 19, 2014), APHA (2014)Google Scholar
  4. 4.
    Goldberg, D.W., Cockburn, M.G., Hammond, T.A., Jacquez, G.M., Janies, D., Knoblock, C., Kuhn, W., and Pultar, E., Raubal, M.: Envisioning a future for a spatial-health cybergis marketplace. In: Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, ACM, pp. 27–30 (2013)Google Scholar
  5. 5.
    Bartley, J., Forsyth, J., Pendse, P., Xin, D., Brown, G., Hagseth, P., Agrawal, A., Goldberg, D.W., and Hammond, T.: World of workout: a contextual mobile rpg to encourage long term fitness. In: Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, ACM, pp. 60–67 (2013)Google Scholar
  6. 6.
    Rajanna, V., Lara-Garduno, R., Behera, D.J., Madanagopal, K., Goldberg, D., and Hammond, T.: Step up life: a context aware health assistant. In: Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, ACM, pp. 21–30 (2014)Google Scholar
  7. 7.
    Prasad, M., Taele, P., Goldberg, D., and Hammond, T.A.: Haptimoto: Turn-by-turn haptic route guidance interface for motorcyclists. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp. 3597–3606 (2014)Google Scholar
  8. 8.
    Prasad, M., Russell, M., Hammond, T.A., et al., Designing vibrotactile codes to communicate verb phrases. ACM Trans. Multimed. Comput. Commun. Appl. 11(1s):11, 2014.Google Scholar
  9. 9.
    Prasad, M., Russell, M., and Hammond, T.A., et al.: A user centric model to design tactile codes with shapes and waveforms. In: Haptics Symposium (HAPTICS), 2014 IEEE, IEEE, pp. 597–602 (2014)Google Scholar
  10. 10.
    Ryan, M.M. Handbook of US Labor Statistics: Employment, Earnings, Prices. Productivity, and Other Labor Data: Rowman & Littlefield, 2013.Google Scholar
  11. 11.
    Chang, C.-Y., Lange, B., Zhang, M., Koenig, S., Requejo, P., Somboon, N., Sawchuk, A., and Rizzo, A., et al.: Towards pervasive physical rehabilitation using microsoft kinect. In: Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2012 6th International Conference on, IEEE, pp. 159–162 (2012)Google Scholar
  12. 12.
    Lange, B., Chang, C.-Y., Suma, E., Newman, B., Rizzo, A.S., and Bolas, M.: Development and evaluation of low cost game-based balance rehabilitation tool using the microsoft kinect sensor. In: Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, IEEE, pp. 1831–1834 (2011)Google Scholar
  13. 13.
    Chang, Y.-J., Chen, S.-F., and Huang, J.-D., A kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities. Res. Dev. Disabil. 32(6):2566–2570, 2011.CrossRefPubMedGoogle Scholar
  14. 14.
    Bo, A., Hayashibe, M., and Poignet, P.: Joint angle estimation in rehabilitation with inertial sensors and its integration with kinect. In: EMBC’11: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, pp. 3479–3483 (2011)Google Scholar
  15. 15.
    Yeh, S.-C., Hwang, W.-Y., Huang, T.-C., Liu, W.-K., Chen, Y.-T., and Hung, Y.-P.: A study for the application of body sensing in assisted rehabilitation training. In: Computer, Consumer and Control (IS3C), 2012 International Symposium on, IEEE, pp. 922–925 (2012)Google Scholar
  16. 16.
    Kitsunezaki, N., Adachi, E., Masuda, T., and Mizusawa, J.-i.: Kinect applications for the physical rehabilitation. In: Medical Measurements and Applications Proceedings (MeMeA), 2013 IEEE International Symposium on, IEEE, pp. 294–299 (2013)Google Scholar
  17. 17.
    Weiss, P.L., Rand, D., Katz, N., and Kizony, R., Video capture virtual reality as a flexible and effective rehabilitation tool. J. Neuroeng. Rehabil. 1(1):12, 2004.PubMedCentralCrossRefPubMedGoogle Scholar
  18. 18.
    Kizony, R., Raz, L., Katz, N., Weingarden, H., and Weiss, P.L.T., Video-capture virtual reality system for patients with paraplegic spinal cord injury. J. Rehabil. Res. Dev. 42(5):595, 2005.CrossRefPubMedGoogle Scholar
  19. 19.
    Sveistrup, H., Journal of neuroengineering and rehabilitation. J. Neuroeng. Rehabil. 1:10, 2004.PubMedCentralCrossRefPubMedGoogle Scholar
  20. 20.
    Feintuch, U., Raz, L., Hwang, J., Josman, N., Katz, N., Kizony, R., Rand, D., Rizzo, A.S., Shahar, M., and Yongseok, J., et al., Integrating haptic-tactile feedback into a video-capture-based virtual environment for rehabilitation. CyberPsychology & Behavior 9(2):129–132, 2006.CrossRefGoogle Scholar
  21. 21.
    Guevara, D., Vietri, G., Prabakar, M., and Kim, J.-H.: Robotic exoskeleton system controlled by kinect and haptic sensors for physical therapy. In: Biomedical Engineering Conference (SBEC), 2013 29th Southern, IEEE, pp. 71–72 (2013)Google Scholar
  22. 22.
    Boian, R.F., Deutsch, J.E., Lee, C.S., Burdea, G.C., and Lewis, J.: Haptic effects for virtual reality-based post-stroke rehabilitation. In: Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings. 11th Symposium on, IEEE, pp. 247–253 (2003)Google Scholar
  23. 23.
    Sadihov, D., Migge, B., Gassert, R., and Kim, Y.: Prototype of a vr upper-limb rehabilitation system enhanced with motion-based tactile feedback. In: World Haptics Conference (WHC), 2013, IEEE, pp. 449–454 (2013)Google Scholar
  24. 24.
    Mäenpää, H., Salokorpi, T., Jaakkola, R., Blomstedt, G., Sainio, K., Merikanto, J., and von Wendt, L., Follow-up of children with cerebral palsy after selective posterior rhizotomy with intensive physiotherapy or physiotherapy alone. Neuropediatrics 34(2):67–71, 2003.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Sketch Recognition Lab, Department of Computer Science and EngineeringTexas A & M UniversityCollege StationUSA

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