Author: Kollár János1
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  • 1 Institute of Behavioural Sciences, Budapest
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Theoretical background

MIDI (Musical Instrument Digital Interface) is a connectivity standard that musicians use to hook together musical instruments (such as keyboards and synthesizers) and computer equipment. By applying MIDI-technology the experience induced by different types of software can create an inner motivation for stroke patients to go on the successful healing process.

Aim of the review

The aim of writing the review is to determine the relevance and importance of applying MIDI applications in treatment of stroke patients. The research questions were: 1. What kind of interventions can be accomplished by using MIDI applications in treatment of strokes patients? 2. What are the outcome and result of applying MIDI instruments during the treatment of stroke patients? 3. What type of MIDI applications proved to be effective in the treatment of stroke patients?

Material and Methods

Three databases (PubMed, Scopus, Web of Science) were systematically searched for relevant data. The papers were selected by focusing on key words: midi, musical instrument digital interface, stroke, cerebral accident, seizure.

Results

Finally ten articles were selected and represented by focusing mainly on the type of intervention, treatment duration, outcomes and instruments used with a total of N = 219 treatment and N = 147 control patients.

Conclusions

The conclusion is that the range of possible improvements provided by proper application of MIDI instruments is rather wide: from hand rehabilitation through limb and gait movement optimization till improving overall quality of life of patients. MIDI technology can be suggested because of two main reasons: 1. adjustability and flexibility of instruments, 2. it can improve the motivation of patients by gamifying the treatments. Further research is needed to discover more possibilities by applying the opportunities offered by the wide range of MIDI applications. The suggested name for such intervention is Midicine.

  • Altenmuller, E., Marco-Pallares, J., Munte, T.F., & Schneider, S. (2009). Neural reorganization underlies improvement in stroke-induced motor dysfunction by music-supported therapy. Annals of the New York Academy of Sciences, 1169, 395405.

    • Search Google Scholar
    • Export Citation
  • Anderson, F., Annett, M., & Bischof, W.F. (2010). Lean on Wii: physical rehabilitation with virtual reality Wii peripherals. Studies in Health Technology and Informatics, 154, 229234.

    • Search Google Scholar
    • Export Citation
  • Cha, Y., Kim, Y., Hwang, S., & Chung, Y. (2014). Intensive gait training with rhythmic auditory stimulation in individuals with chronic hemiparetic stroke: A pilot randomized controlled study. Neurorehabilitation, 35(4), 681688.

    • Search Google Scholar
    • Export Citation
  • Chong, H.J., Cho, S.R., & Kim, S.J. (2014). Hand rehabilitation using MIDI keyboard playing in adolescents with brain damage: A preliminary study. Neurorehabilitation, 34(1), 147155.

    • Search Google Scholar
    • Export Citation
  • Chong, H.J., Han, S.J., Kim, Y.J., Park, H.Y., & Kim, S.J. (2014). Relationship between output from MIDI-keyboard playing and hand function assessments on affected hand after stroke. Neurorehabilitation, 35(4), 673680.

    • Search Google Scholar
    • Export Citation
  • Christensson, P. (2006). MIDI Definition. Retrieved from: http://techterms.com 04.09.2015.

  • Friedman, N., Reinkensmeyer, D., & Bachman, M. (2011). A real-time interactive MIDI glove for domicile stroke rehabilitation. Human–Computer Interaction: Users and Applications, Pt Iv, 6764, 151158.

    • Search Google Scholar
    • Export Citation
  • Loo, K.W., & Gan, S.H. (2013). Burden of stroke in the Philippines. International Journal of Stroke, 8(2), 131134.

  • Modegi, T. (2001). XML transcription method for biomedical acoustic signals. Studies in Health Technology and Informatics, 84(Pt 1), 366370.

    • Search Google Scholar
    • Export Citation
  • Moher, D., Altman, D. G., Liberati, A., & Tetzlaff, J. (2011). PRISMA statement. Epidemiology, 22(1), 128.

  • Rojo, N., Amengual, J., Juncadella, M., Rubio, F., Camara, E., Marco-Pallares, J., . . . Rodriguez-Fornells, A. (2011). Music-Supported Therapy induces plasticity in the sensorimotor cortex in chronic stroke: A single-case study using multimodal imaging (fMRI-TMS). Brain Injury, 25(7–8), 787793.

    • Search Google Scholar
    • Export Citation
  • Schauer, M., Steingruber, W., & Mauritz, K.H. (1996). The effect of music on gait symmetry in stroke patients walking on the treadmill. Biomedizinische Technik, 41(10), 291296.

    • Search Google Scholar
    • Export Citation
  • Schneider, S., Munte, T., Rodriguez-Fornells, A., Sailer, M., & Altenmuller, E. (2010). Musicsupported training is more efficient than functional motor training for recovery of fine motor skills in stroke patients. Music Perception, 27(4), 271280.

    • Search Google Scholar
    • Export Citation
  • Schneider, S., Schonle, P.W., Altenmuller, E., & Munte, T.F. (2007). Using musical instruments to improve motor skill recovery following a stroke. Journal of Neurology, 254(10), 13391346.

    • Search Google Scholar
    • Export Citation
  • Schuppert, M., Munte, T.F., Wieringa, B.M., & Altenmuller, E. (2000). Receptive amusia: evidence for cross-hemispheric neural networks underlying music processing strategies. Brain, 123, 546559.

    • Search Google Scholar
    • Export Citation
  • Villeneuve, M., & Lamontagne, A. (2013). Playing piano can improve upper extremity function after stroke: Case studies. Stroke Research and Treatment, 2013, 159105. http://doi.org/10.1155/2013/159105

    • Search Google Scholar
    • Export Citation
  • Writing, A. (2015). Advantages and Disadvantages of a MIDI keyboard. Retrieved from http://www.ehow.com/list_6028161_advantages-disadvantages-midi-keyboard.html 04.09.2015.

    • Search Google Scholar
    • Export Citation
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