RELIABILITY OF THE DAID SMART SHIRT FOR SHOULDER GIRDLE MOTION ASSESSMENT IN HIGH STRING PLAYERS
DOI:
https://doi.org/10.17770/sie2019vol4.3863Keywords:
high string performance, shoulder motion monitoring, mart GarmentsAbstract
Smart garment system is efficient for upper body movement monitoring during simple tasks. There is a lack of literature on smart textile garments being reliable for shoulder girdle motion assessment in advanced motor tasks such as high string performance. The aim of the article was to examine the reliability of the DAid Smart Shirt for Shoulder Girdle Motion Assessment during advanced motor tasks such as high string performance. Methods: 14 volunteer violinists aged 18.6 (SD 2.1) with a body mass index 20.05 (SD 2.3) were recruited. The violinists performed a legato bowing task. The DAid smart shirt worked as the assessment tool: a compression garment with textile strain sensors sewn onto it. Cronbach alpha coefficient, Interclass Correlation Coefficient were calculated to assess the within-session test-retest reliability. Results: An excellent and good result test-retest reliability was assessed in 57% of the violinists, for other 43%, the ICC and Cronbach alpha coefficient was less than 0.59. Conclusion: the DAid Smart shirt is reliable for shoulder girdle motion assessment during high string performance. The smart textile garment should be customized and suitable for the body in order to assess shoulder girdle motion during high level or advanced activities such as high string performance.
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References
Abreu-Ramos A.M., & Micheo, W.F. (2007). Lifetime prevalence of upper-body musculoskeletal problems in a professional-level symphony orchestra: age, gender, and instrument-specific results. Medical Problems of Performing Artists, 22(3):97-104.
Ancillao A, Savastano B, Galli M, & Albertini G., (2017). Three-dimensional motion capture applied to violin playing: A study on feasibility and characterization of the motor strategy. Comput Methods Programs Biomed. Oct; 149:19-27. DOI: 10.1016/j.cmpb.2017.07.005.
Blanco-Pin˜eiro, P., Pino Dı´az-Pereira, M., & Martı´nez, A. (2015). Common postural defects among music students, Journal of Bodywork & Movement Therapies, 19, 565e572.
Horvath, J. (2010). Playing (Less) Hurt, An Injury Prevention Guide for Musicians. Hal Leonardo Books. An Imprint of Hal Leonardo Corporation New York.
Kok, L.M., Huisstede, B.M.A., Voorn, V.M.A., Schoones, J.W., & Nelissen, R.G.H.H. (2015). The occurrence of musculoskeletal complaints among professional musicians: a systematic review. International Archives of Occupational and Environmental Health, 89(3), 373–396. DOI:10.1007/s00420-015-1090-6
Kok, L. M., Schrijvers, J., Fiocco, M., van Royen, B., & Harlaar, J. (2018). Differences in violin fixation force and muscle activity among violinists with and without complaints of the neck shoulder region. Journal of Electromyography and Kinesiology, 43, 217–225. DOI: 10.1016/j.jelekin.2018.11.002
McCrary, J.M., Halaki, M., & Ackermann, B.J. (2016). Effects of Physical Symptoms on Muscle Activity Levels in Skilled Violinists. Medical Problems of Performing Artists, 31(3), 125–131. DOI:10.21091/mppa.2016.3024
Mendes, J.J., Vieira, M.E., Pires, M.B., & Stevan, S L. (2016). Sensor Fusion and Smart Sensor in Sports and Biomedical Applications. Sensors (Basel, Switzerland), 16(10), 1569. DOI:10.3390/s16101569
Oks, A., Katashev, A., & Litvak, J. (2014). Knitted Resistive Fabric: Properties and Applications. Material Science. Textile and Clothing Technology. 2014/9. DOI: 10.7250/mstct.2014.005
Schemmann, H., Rensing, N., & Zalpour, C. (2018). Musculoskeletal Assessments Used in Quantitatively Based Studies About Posture and Movement in High String Players: A Systematic Review. Medical Problems of Performing Artists, 33(1), 56–71. DOI:10.21091/mppa.2018.1009
Semjonova, G., Vetra, J., Oks, A., & Katashev, A. (2018). Development of a new method to monitor shoulder girdle motion for ballerina with shoulder impingement syndrome based on DAid smart shirt application. In IFMBE Proceedings, Vol. 68, 599–602.
Wang, Q., De Baets, L., Timmermans, A., Chen., W., Giacolini, L., Matheve, T., & Markopoulus, P. (2017). Motor Control Training for Shoulder with Smart Garments. Sensors, 17, 1687; DOI: 10.3390/s17071687.
Wang, Q, Markopoulos, P., Yu, B., Chen, W., & Timmermans, A. (2017). Interactive wearable systems for upper body rehabilitation: a systematic review. Journal of Neuroengineering and Rehabilitation, 14(1):20. DOI:10.1186/s12984-017-0229-y
WHO. Body mass index - BMI Retrieved from http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi
