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Purpose: Telerehabilitation is one of the newest branches of telemedicine which has been developed because patients need regular trainings outside the medical institution but still under specialist supervision. It helps maintain regularity of exercises and reduces costs. The professional and advanced systems for telerehabilitation are presented in papers however, there is still lack of development of minor systems which provide therapeutic values and are more accessible to people. Therefore we focus on a solution for hand telerehabilitation of post-stroke patients, based solely on a personal computer and camera. Methods: We focused on the manipulative hand (fingers, metacarpus, wrist) movements trainings for patients with cerebral palsy. The contact between patient and physiotherapist is provided by using web cameras and web service. Additionally the camera can be used to monitor the effectiveness of performed exercises. Computer vision system keeps track of the patient’s hand movement. The digital image processing is used to detect if the patient performs exercises correctly. Results: We created web service and software application TeleReh that provides therapeutic values for the hand impaired people. The created system was evaluated by three physiotherapists, one doctor and a cerebral palsy patient. Conclusions Our solution applies to all patients who have undergone basic rehabilitation in hospital and need to continue hand rehabilitation at home. The main advantages are: easily adaptation to the individual needs and abilities, monitoring the progress by using automatically generated reports after each training session. It is worth noticing, that discussion between IT specialists, rehabilitants and patients was necessary to achieve good results.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
55--62
Opis fizyczny
Bibliogr. 28 poz., rys.
Twórcy
autor
- Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Kraków, Poland
autor
- Department of Basic Medical Sciences, Wroclaw Medical University, Poland
autor
- Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Kraków, Poland
autor
- Division of Infectious Diseases of Animals and Veterinary Administration, Department of Epizootiology and Clinic of Bird and Exotic Animals, Wroclaw University of Environmental and Life Sciences, Poland
autor
- Department of Experimental Surgery and Biomaterials Research, Wroclaw Medical University, Poland
Bibliografia
- [1] ALAMRI A., CHA J., EL SADDIK A., AR-REHAB: An Augmented Reality Framework for Poststroke-Patient Rehabilitation, IEEE Trans Instrum Meas, 2010, 59(10):2554–2563.
- [2] AUGUSTYNIAK P., Interpretive software conversion following changes of patient status and diagnostic goals, Acta Bioeng Biomech, 2009, 11(2):3–11.
- [3] AZIZ M.A.A., NIU J., ZHAO X., LI J., WANG K., Using novel shape, color and texture descriptors for human hand detection, [in:] Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST), IEEE, Islamabad, Pakistan, 2014, 150–157.
- [4] BRENNAN D.M., TINDALL L., THEODOROS D. ET AL., A Blueprint for Telerehabilitation Guidelines - October 2010, Telemed e-Health, 2011, 17(8):662–665.
- [5] CHUMBLER N.R., QUIGLEY P., SANFORD J. ET AL., Implementing Telerehabilitation Research for Stroke Rehabilitation with Community Dwelling Veterans: Lessons Learned, Int J Telerehabilitation, 2010, 2(1):15–22.
- [6] CONNELLY L., JIA Y., TORO M.L. ET AL., A pneumatic glove and immersive virtual reality environment for hand rehabilitative training after stroke, IEEE Trans Neural Syst Rehabil Eng, 2010, 18(5):551–559.
- [7] DAWOD A.Y., ABDULLAH J., ALAM M.J., Adaptive skin color model for hand segmentation, [in:] 2010 International Conference on Computer Applications and Industrial Electronics, IEEE, Kuala Lumpur, Malaysia, 2010, 486–489.
- [8] GO A.S., MOZAFFARIAN D., ROGER V.L. ET AL., Heart Disease and Stroke Statistics - 2014 Update: A report From the American Heart Association, Circulation, 2014, 129(3):e28–e292.
- [9] GUZIK A., MICHNIK R., RYCERSKI W., The estimation of rehabilitation progress in patients with psychomotor diseases of upper limb of upper limb based on modelling and experimental research, Acta Bioeng Biomech, 2006, 8(2):79–87.
- [10] KAIRY D., LEHOUX P., VINCENT C., VISINTIN M., A systematic review of clinical outcomes, clinical process, healthcare utilization and costs associated with telerehabilitation., Disabil Rehabil, 2009, 31(6):427–447.
- [11] LAI J.C.K., WOO J., HUI E., CHAN W.M., Telerehabilitation - a new model for community-based stroke rehabilitation., J Telemed Telecare, 2004, 10(4):199–205.
- [12] PARK H.-S., PENG Q., ZHANG L.-Q., A portable telerehabilitation system for remote evaluations of impaired elbows in neurological disorders., IEEE Trans Neural Syst Rehabil Eng, 2008, 16(3):245–254.
- [13] PARMANTO B., SAPTONO A., Telerehabilitation: State-of-the-Art from an Informatics Perspective, Int J Telerehabilitation, 2009, 1(1):73–84.
- [14] PRAMUKA M., VAN ROOSMALEN L., Telerehabilitation Technologies: Accessibility and Usability, Int J Telerehabilitation, 2009, 1(1):25–36.
- [15] REINKENSMEYER D.J., PANG C.T., NESSLER J.A., PAINTER C.C., Web-based telerehabilitation for the upper extremity after stroke., IEEE Trans Neural Syst Rehabil Eng, 2002, 10(2):102–108.
- [16] SAPTONO A., SCHEIN R.M., PARMANTO B., FAIRMAN A., Methodology for Analyzing and Developing Information Management Infrastructure to Support Telerehabilitation, Int J Telerehabilitation, 2009, 1(1):39–46.
- [17] SARAN T., HOROCH A., Telemedyczne podtrzymywanie aktywności ruchowej za pomocą smartfonów – system telemonitorujący w Instytucie Medycyny Wsi, Med Ogólna i Nauk o Zdrowiu, 2013, 19(4):500–503.
- [18] SCHMELER M.R., SCHEIN R.M., MCCUE M., BETZ K., Telerehabilitation Clinical and Vocational Applications for Assistive Technology: Research, Opportunities, and Challenges, Int J Telerehabilitation, 2009, 1(1):59–72.
- [19] SONG G., GUO S., Development of a Novel Tele-rehabilitation System, [in:] 2006 IEEE International Conference on Robotics and Biomimetics (ROBIO), IEEE, Kunming, China, 2006, 785–789.
- [20] STRZELCZYK P., WOCHLIK I., TADEUSIEWICZ R., IZWORSKI A., BUŁKA J., Telemedical System in Evaluation of Auditory Brainsteam Responses and Support of Diagnosis, [in:] N.T. Nguyen, M.T. Le, J. Świątek (eds.), Intelligent Information and Database Systems: Second International Conference ACIIDS 2010, Part 2, Springer, Berlin, Heidelberg, 2010, 21–28.
- [21] SZCZERBIK E., KRAWCZYK M., SYCZEWSKA M., Ground reaction force analysed with correlation coefficient matrix in group of stroke patients, Acta Bioeng Biomech, 2014, 16(2):3–9.
- [22] TADEUSIEWICZ R., Systemowe podejście do wybranych zagadnień telemedycyny, [in:] P. Kulczycki, O. Hryniewicz, J. Kacprzyk (eds.), Techniki informacyjne w badaniach systemowych, WNT, Warsaw, 2007, 341–360.
- [23] TADEUSIEWICZ R., Telemedycyna – nowe wyzwanie współczesnej nauki, Nauka, 2004, 3:57–80.
- [24] TADEUSIEWICZ R., KOROHODA P., Komputerowa analiza i przetwarzanie obrazów, Wydawnictwo Fundacji Postępu Telekomunikacji, Kraków, 1997.
- [25] TOMASZEWSKI W., Computer-Based Medical Decision Support System based on guidelines, clinical pathways and decision nodes., Acta Bioeng Biomech, 2012, 14(1):107–116.
- [26] TONG K.Y., HO S.K., PANG P.K. ET AL., An intention driven hand functions task training robotic system, [in:] 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, 2010, 3406–3409.
- [27] WANG Y.-R., LIN W.-H., YANG L., A novel real time hand detection based on skin-color, [in:] 2013 IEEE International Symposium on Consumer Electronics (ISCE), IEEE, 2013, 141–142.
- [28] ZGLICZYŃSKI W., PINKAS J., CIANCIARA D. ET AL., Telemedycyna w Polsce – bariery rozwoju w opinii lekarzy, Med Ogólna i Nauk o Zdrowiu, 2013, 19(4):496–499.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-03ba0c81-fcd5-465b-8cbf-4cb55668d126