A Vibro-Haptics Smart Corset Trainer for Non-Ideal Sitting Posture

Year 2022, Volume: 32 Issue: 4, 304 - 313, 31.12.2022

Mehmet Arda Özden , Eda Acar , Hasan Yıldız , Mücella Güner , Mahmut Pekedis

https://doi.org/10.32710/tekstilvekonfeksiyon.994444

Abstract

This study aimed to develop a vibro-haptics feedback based smart corset to stimulate humans to be in ideal posture by monitoring the spline in thoracic vertebrae of T5-T12 levels, and provide a vibro-tactile stimuli to human's skin at lumbar L3 level. A corset contains a microcomputer, sensors and an actuator was implemented on 12 participants for 2 cases to determine its efficiency. In the first case, tactile stimuli was not provided to the participants, while in the second case tactile stimuli was ensured. The results showed once the vibro-tactile stimuli was represented to the participants, their posture regime improved significantly with a value of 53.13±23.14 %. Moreover, it was also observed that their non-ideal postural duration significantly decreased. These results suggest that the corset provides vibro-tactile feedback that encourage humans in seated posture to beneficial postural habits while using computers.

Keywords

Smart corset, Sitting posture, spinal curvature, vibro-haptics, actuator/ sensor.

Supporting Institution

TÜBITAK

Project Number

117M746

Thanks

This study was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) with the project ID of 117M746. The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The human subjects tests have been performed under the directions of Ege University, Clinical Research Ethical Board, designated at 103-2016. The authors thank all participants who took part in this study. The authors also thank Prof. Yesim Kirazli from Ege University, Rehabilitation Division at Medical Faculty for her valuable suggestions and comments regarding the non-ideal posture detection algorithm investigated in this study.

References

• Woolf A.D and Pfleger B. 2003. Burden of major musculoskeletal conditions. Bulletin of the World Health Organization 81, 646-656.
• O’Sullivan K and O’Sullivan P. 2012. What do physiotherapists consider to be the best sitting spinal posture?. Manual Therapy 17, 432-437.
• Bullock MI and Bullock-Saxton JE. 2000. Control of low back in the workplace using an ergonomic approach. In: Twomey LT, Taylor JR, editors. Physical therapy of the low back. 3rd ed. New York: Churchill Livingstone, 297–326.
• Claus A.P, Hides J.A, Moseley G.L, Hodges P.W. 2009. Is ‘ideal’ sitting posture real?: Measurement of spinal curves in four sitting postures. Manual Therapy 14, 404–408.
• Jarvik JG, Hollingworth W, Heagerty PJ, Haynor DR, Boyko EJ, Deyo RA. 2005. Three-year incidence of low back pain in an initially asymptomatic cohort: clinical and imaging risk factors. Spine 30(13), 1541-8.
• Moseley GL. 2007. Reconceptualising pain according to modern pain science. Physical Therapy Reviews 12(3), 169-178.
• Reichborn-Kjennerud T, Stoltenberg C, Tambs K, Roysamb E, Kringlen E, Torgersen S, et al. 2002. Back neck pain and symptoms of anxiety and depression: a population- based twin study. Psychological Medicine 32(06), 1009-20.
• Ballardini G, Florio V, Canessa A, Carlini G, Morasso P and Casadio M. 2020. Vibrotactile Feedback for Improving Standing Balance. Front. Bioeng. Biotechnol 8, 94.
• Nazari J, Pope M.H, Graveling R.A. 2012. Reality about migration of the nucleus pulposus within the intervertebral disc with changing postures. Clin. Biomech 27, 213–217.
• Castanharo R, Duarte M, McGill S. 2014. Corrective sitting strategies: An examination of muscle activity and spine loading. J. Electromyogr. Kinesiol 24, 114–119.
• Womersley L and May S. 2006. Sitting posture of subjects with postural backache. Journal of Manipulative and Physiological Therapeutics 29(3), 213-218.
• Adams M, Dolan P, Hutton W.C. 1988. The Lumbar Spine in Backward Bending. Spine 13, 1019–1026.
• Baranda PS, Cejudo A., Martínez-Romero MT, Aparicio-Sarmiento A, Rodríguez-Ferrán et al. 2020. Sitting Posture, Sagittal Spinal Curvatures and Back Pain in 8 to 12-Year-Old Children from the Region of Murcia (Spain): ISQUIOS Programme, Int. J. Environ. Res. Public Health,17, 2578.
• Pynt J, Mackey MG, Higgs J. 2008. Kyphosed seated postures: extending concepts of postural health beyond the office. Journal of Occupational Rehabilitation; 18(1), 35-45.
• Sprague RB. 2001. Differential assessment and mobilisation of the cervical and thoracic spine. In: Donatelli R, Wooden MJ, editors. Orthopaedic physical therapy. 3rd ed. New York: Churchill Livingstone, 108–43.
• Saur PMM, Ensink FBM, Frese K, Seeger D. 1996, Hildebrandt J. Lumbar range of motion: reliability and validity of the inclinometer technique in the clinical measurement of trunk flexibility. Spine 21, 1332–38.
• Wu H, Chu C.C, He C, Wong M. 2020. Assessment of the plane of maximum curvature for patients with adolescent idiopathic scoliosis via computed tomography. Prosthetics and Orthotics International 44, 5, 1–7.
• Brulin D, Benezeth Y, Courtial E. 2012. Posture Recognition Based on Fuzzy Logic for Home Monitoring of the Elderly.IEEE Transactions on Information Technology in Biomedicine 16( 5), 974-82.
• Wong WY. and Wong MS. 2008. Trunk posture monitoring with inertial sensors. European Spine Journal 17, 743–753.
• Poredoš P, Čelan D, Možina J, Jezeršek M. 2015. Determination of the human spine curve based on laser triangulation, BMC Medical Imaging 15:2.
• Barone VJ, Yuen M.C, Kramer-Bottiglio R, Sienko KH. 2019. Sensory garments with vibrotactile feedback for monitoring and informing seated posture, 2nd IEEE International Conference on Soft Robotics 391-397.
• Grosse-Wentrup M, Mattia D, Oweiss K. 2011. Using brain computer interface to induce neural plasticity and restore function. J. Neural Eng. Apr;8(2):025004.
• Franco C, Fleury A, Guméry PY, Diot B. 2012. Demongeot J, and Vuillerme N. iBalance-ABF: a smartphone-based audio-biofeedback balance system. IEEE Transac. Biomed. Eng. 60, 211–215.
• Pekedis M, Mascarenas D, Turan G, Ercan E, Farrar C.R, Yildiz H. 2015. Structural health monitoring for bolt loosening via a non-invasive vibro-haptics human-machine cooperative interface, Smart Materials and Structures 24, 085018.
• Xu J, Bao T, Lee U.H, Kinnaird C., Carender W.J, Huang Y. et al. 2017. Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept. J. Neuroeng. Rehabil. 14, 1–10.
• Zhang Y. and Morrell J.B. 2010. A vibrotactile feedback approach to posture guidance, IEEE Haptics Symposium, 351–358.
• Dunne LE, Walsh P, Hermann S, Smyth B, Caulfield B. 2008. Wearable Monitoring of Seated Spinal Posture. IEEE Transactions on Biomedical Circuits and Systems 2, 97–105.
• Voinea GD, Butnariu S., and Mogan G. 2017. Measurement and geometric modelling of human spine posture for medical rehabilitation purposes using a wearable monitoring system based on inertial sensors. Sensors 17(1), 3.
• Yoong KMY, Perring JJ, Mobbs R.J. 2019. Commercial Postural Devices: A Review, Sensors 19, 5128.
• AATCC 195. Liquid moisture management properties of textile fabrics.
• ASTM D 737 Test method for air permeability of textile fabrics.
• ISO 3801. Textiles-Woven fabrics-Determination of mass per unit length and mass per unit area.
• Kolessar D, Stollsteimer GT, Betz RR. 1996. The value of the measurement from T5 to T12 as a screening tool in detecting abnormal kyphosis, Journal of Spinal Disorders 9(3), 220-222.
• Özdil N, Süpüren G, Özçelik G, Pruchova J. 2009. A study on the moisture transport properties of the cotton knitted fabrics in single jersey structure. Textile and Apparel 19(3), 218-223.
• Ünal Z.B., Acar E. and Yildirim F. 2015. Evaluating performance characteristics of lining fabrics used for children dresses. Textile and Apparel 25(4), 323-328.
• Pekedis M. 2021. Detection of multiple bolt loosening via data based statistical pattern recognition techniques. Journal of the Faculty of Engineering and Architecture of Gazi University 36(4), 1993-2010.
• Shah VA., Casadio M, Scheidt RA, Mrotek LA. 2019. Spatial and temporal influences on discrimination of vibrotactile stimuli on the arm. Exp. Brain Res 237, 2075–2086.