The Assessment of Spinal Alignment Based on a Computer-Assisted Electromechanical Device

Authors

  • Israa Khalifa Department of Biomedical Engineering, Al-Nahrain University, Baghdad, Iraq.
  • Aseel Ghazwan Department of Biomedical Engineering, Al-Nahrain University, Baghdad, Iraq.
  • Luay Asaad Mahmood Department of Orthopedics and traumatology, Medical College, University of Anbar, Anbar, Iraq

DOI:

https://doi.org/10.29194/NJES.27040477

Keywords:

SM, Thoracic Segment Angle, Lumber Segment Angle, Sagittal Spinal Alignment, Spinal Length

Abstract

Spinal alignment examination procedures are frequently employed to assess spinal deformities. The spine plays a crucial role in maintaining the biomechanical functionality of the skeletal system. It protects the spinal cord and facilitates movement, among other vital functions. Various methods, including radiography and non-invasive techniques such as goniometer, inclinometer and kyphometer, have been employed to assess spine alignment qualitatively. Nevertheless, these methods are characterized by a high radiation dose and require significant time.

Consequently, this study aimed to develop and create a portable, user-friendly, radiation-free computer-assisted electromechanical device to assess spinal deformities. This device is designed to evaluate sagittal spinal alignment by estimating the angle between two vertebrae for the segmental and global thoracic and lumbar regions, and the length of the spine. This study highlighted the importance of the method in evaluating spinal alignment. The MPU-6050 sensor was employed to record the angle between the two vertebrae, while the rotary encoder was utilized to measure the length of the spine. Subsequently, the data was transmitted to a computer over a Bluetooth module connection, following processing by the Arduino Nano microcontroller. The proposed system was employed on five healthy adult subjects to evaluate their standing posture in the sagittal plane, namely in the upright, flexion, and extension positions. The resulting parameters that define spinal alignment are provided. The suggested system offers the benefits of simplicity, portability, and cost-effectiveness, allowing for rapid and accurate assessment of sagittal spinal alignment. It enables quick clinical assessment and provides few health risks to the patient, leading to correct diagnosis.

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References

V. Mahadevan, "Anatomy of the vertebral column," Surgery (Oxford), vol. 36, no. 7, pp. 327-332, 2018. DOI: https://doi.org/10.1016/j.mpsur.2018.05.006

P. J. Bazira, "Clinically applied anatomy of the vertebral column," Surgery (Oxford), vol. 39, no. 6, pp. 315-323, 2021. DOI: https://doi.org/10.1016/j.mpsur.2021.04.004

S. Mihcin, "Spinal curvature for the assessment of spinal stability," International Journal of Biomedical Engineering and Technology, vol. 20, no. 3, pp. 226-242, 2016. DOI: https://doi.org/10.1504/IJBET.2016.075425

J.-O. Yoon, M.-H. Kang, J.-S. Kim, and J.-S. Oh, "The effects of gait with use of smartphone on repositioning error and curvature of the lumbar spine," Journal of physical therapy science, vol. 27, no. 8, pp. 2507-2508, 2015. DOI: https://doi.org/10.1589/jpts.27.2507

M. Masaki, T. Ikezoe, Y. Fukumoto, S. Minami, J. Aoyama, S. Ibuki, M. Kimura, and N. Ichihashi, "Association of walking speed with sagittal spinal alignment, muscle thickness, and echo intensity of lumbar back muscles in middle-aged and elderly women," Aging clinical and experimental research, vol. 28, pp. 429-434, 2016. DOI: https://doi.org/10.1007/s40520-015-0442-0

S. M. Walaa and M. E. Walaa, "Prevalence of scoliosis among Majmaah University physical therapy students-Saudi Arabia," International Journal of Medical Research & Health Sciences, vol. 5, no. 10, pp. 187-191, 2018.

K. Sugai, T. Michikawa, T. Takebayashi, M. Matsumoto, M. Nakamura, and Y. Nishiwaki, "Association between visual classification of kyphosis and future ADL decline in community-dwelling elderly people: the Kurabuchi study," Archives of Osteoporosis, vol. 14, pp. 1-9, 2019. DOI: https://doi.org/10.1007/s11657-018-0551-4

N. Azevedo, J. C. Ribeiro, and L. Machado, "Balance and Posture in Children and Adolescents: A Cross-Sectional Study," Sensors, vol. 22, no. 13, p. 4973, 2022. DOI: https://doi.org/10.3390/s22134973

A. Cepková, E. Zemková, Ľ. Šooš, M. Uvaček, and J. M. Muyor, "Sedentary lifestyle of university students is detrimental to the thoracic spine in men and to the lumbar spine in women," PloS one, vol. 18, no. 12, p. e0288553, 2023. DOI: https://doi.org/10.1371/journal.pone.0288553

M. S. Shehada, N. Karimi, P. Baraghoosh, F. Mohammadi, and A. Ahmadi, "Prevalence and Factors Associated With Postural Abnormalities in Male Students of Tehran Universities: A Cross-sectional Study," فیزیک درمانی-نشریه تخصصی فیزیوتراپی, vol. 13, no. 2, pp. 0-0, 2023. DOI: https://doi.org/10.32598/ptj.13.2.560.1

N. Azevedo, J. C. Ribeiro, and L. Machado, "Back pain in children and adolescents: a cross-sectional study," European Spine Journal, pp. 1-10, 2023.

V. Zaborova, O. Zolnikova, N. Dzhakhaya, S. Prokhorova, A. Izotov, T. Butkova, V. Pustovoyt, K. Yurku, D. Shestakov, and T. Zaytseva, "Associations between Physical Activity and Kyphosis and Lumbar Lordosis Abnormalities, Pain, and Quality of Life in Healthy Older Adults: A Cross-Sectional Study," in Healthcare, 2023, vol. 11, no. 19: MDPI, p. 2651. DOI: https://doi.org/10.3390/healthcare11192651

Ş. T. Çelenay and D. Ö. Kaya, "Relationship of spinal curvature, mobility, and low back pain in womenwith and without urinary incontinence," Turkish journal of medical sciences, vol. 47, no. 4, pp. 1257-1262, 2017. DOI: https://doi.org/10.3906/sag-1609-67

A. Muramoto, S. Imagama, Z. Ito, K. Hirano, N. Ishiguro, and Y. Hasegawa, "Spinal sagittal balance substantially influences locomotive syndrome and physical performance in community-living middle-aged and elderly women," Journal of Orthopaedic Science, vol. 21, no. 2, pp. 216-221, 2016. DOI: https://doi.org/10.1016/j.jos.2015.12.016

M. Machino, K. Ando, K. Kobayashi, H. Nakashima, S. Kanbara, S. Ito, T. Inoue, H. Yamaguchi, H. Koshimizu, and T. Seki, "Influence of global spine sagittal balance and spinal degenerative changes on locomotive syndrome risk in a middle-age and elderly community-living population, BioMed Research International, vol. 2020, 2020," DOI: https://doi. org/10.1155/2020/3274864. DOI: https://doi.org/10.1155/2020/3274864

R. Corona-Cedillo, M.-T. Saavedra-Navarrete, J.-J. Espinoza-Garcia, A.-N. Mendoza-Aguilar, S. K. Ternovoy, and E. Roldan-Valadez, "Imaging assessment of the postoperative spine: an updated pictorial review of selected complications," BioMed Research International, vol. 2021, pp. 1-20, 2021. DOI: https://doi.org/10.1155/2021/9940001

M. S. Linet, T. L. Slovis, D. L. Miller, R. Kleinerman, C. Lee, P. Rajaraman, and A. Berrington de Gonzalez, "Cancer risks associated with external radiation from diagnostic imaging procedures," CA: a cancer journal for clinicians, vol. 62, no. 2, pp. 75-100, 2012. DOI: https://doi.org/10.3322/caac.21132

E. E. Rutherford, L. J. Tarplett, E. M. Davies, J. M. Harley, and L. J. King, "Lumbar spine fusion and stabilization: hardware, techniques, and imaging appearances," Radiographics, vol. 27, no. 6, pp. 1737-1749, 2007. DOI: https://doi.org/10.1148/rg.276065205

S. Zamani, F. Okhovatian, S.-S. Naemi, and A. A. Baghban, "Intra-examiner reliability of goniometer instrument for all active movements of cervical spine in asymptomatic young women," J Rehab Med, vol. 4, no. 4, pp. 57-64, 2016.

C. M. Todd, C. Agnvall, P. Kovac, A. Sward, C. Johansoon, L. Sward, J. Karlsson, and A. Baranto, "Validation of spinal sagittal alignment with plain radiographs and the Debrunner Kyphometer," Medical Research Archives, vol. 2, no. 1, 2015. DOI: https://doi.org/10.18103/mra.v2i1.319

M. Adams, P. Dolan, C. Marx, and W. Hutton, "An electronic inclinometer technique for measuring lumbar curvature," Clinical Biomechanics, vol. 1, no. 3, pp. 130-134, 1986. DOI: https://doi.org/10.1016/0268-0033(86)90002-1

A. Topalidou, G. Tzagarakis, K. Balalis, and A. Papaioannou, "Posterior decompression and fusion: whole-spine functional and clinical outcomes," PloS one, vol. 11, no. 8, p. e0160213, 2016. DOI: https://doi.org/10.1371/journal.pone.0160213

I. A. O. M. T. PtyLtd. "Idiag M360." Idiag https://idiagm360.com.au/idiag/ (accessed.

R. B. Post, C. K. van der Sluis, V. Leferink, and H.-J. ten Duis, "Long-term functional outcome after type A3 spinal fractures: operative versus non-operative treatment," Acta orthopaedica belgica, vol. 75, no. 3, p. 389, 2009.

A. F. Mannion, K. Knecht, G. Balaban, J. Dvorak, and D. Grob, "A new skin-surface device for measuring the curvature and global and segmental ranges of motion of the spine: reliability of measurements and comparison with data reviewed from the literature," European Spine Journal, vol. 13, pp. 122-136, 2004. DOI: https://doi.org/10.1007/s00586-003-0618-8

J. Zafereo, S. Wang-Price, J. Brown, and E. Carson, "Reliability and comparison of spinal end-range motion assessment using a skin-surface device in participants with and without low back pain," Journal of manipulative and physiological therapeutics, vol. 39, no. 6, pp. 434-442, 2016. DOI: https://doi.org/10.1016/j.jmpt.2016.05.008

K. Nirmal, A. Sreejith, J. Mathew, M. Sarpotdar, A. Suresh, A. Prakash, M. Safonova, and J. Murthy, "Noise modeling and analysis of an IMU-based attitude sensor: improvement of performance by filtering and sensor fusion," in Advances in optical and mechanical technologies for telescopes and instrumentation II, 2016, vol. 9912: SPIE, pp. 2138-2147. DOI: https://doi.org/10.1117/12.2234255

Y. Vazquez-Gutierrez, "Contributions to the modeling of the incremental optical encoder and speed estimation methods for motion control," 2019.

C. K. Mummadi, F. Philips Peter Leo, K. Deep Verma, S. Kasireddy, P. M. Scholl, J. Kempfle, and K. Van Laerhoven, "Real-time and embedded detection of hand gestures with an IMU-based glove," in Informatics, 2018, vol. 5, no. 2: MDPI, p. 28. DOI: https://doi.org/10.3390/informatics5020028

B. R. Chandra, "Development of Gyroscopic Angle Measuring Sensor by Using Arduino," 2022.

M. Afandi, H. Adinanta, A. Setiono, and B. Widiyatmoko, "High resolution extensometer based on optical encoder for measurement of small landslide displacements," in Journal of Physics: Conference Series, 2018, vol. 985, no. 1: IOP Publishing, p. 012007. DOI: https://doi.org/10.1088/1742-6596/985/1/012007

Y. Vazquez‐Gutierrez, D. L. O'Sullivan, and R. C. Kavanagh, "Evaluation of three optical‐encoder‐based speed estimation methods for motion control," The Journal of Engineering, vol. 2019, no. 17, pp. 4069-4073, 2019. DOI: https://doi.org/10.1049/joe.2018.8058

T. K. Koo and M. Y. Li, "A guideline of selecting and reporting intraclass correlation coefficients for reliability research," Journal of chiropractic medicine, vol. 15, no. 2, pp. 155-163, 2016. DOI: https://doi.org/10.1016/j.jcm.2016.02.012

xUser_Guide_SM, 2013. [Online]. Available: https://static1.squarespace.com/static/51763de2e4b0e95e599b4f29/t/52fceaa5e4b01b2bb4f8caba/1392306853736/xUser_Guide_SM_SW_EN_16.10.13.pdf.

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Published

20-12-2024

How to Cite

[1]
I. Khalifa, A. Ghazwan, and L. A. Mahmood, “The Assessment of Spinal Alignment Based on a Computer-Assisted Electromechanical Device”, NJES, vol. 27, no. 4, pp. 477–485, Dec. 2024, doi: 10.29194/NJES.27040477.

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