Research Article
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Year 2023, , 42 - 61, 30.09.2023
https://doi.org/10.59313/jsr-a.1296145

Abstract

References

  • [1] Frost, B. A., S. Camarero-Espinosa and E. J. Foster (2019). "Materials for the spine: anatomy, problems, and solutions." Materials 12(2): 253.
  • [2] Boseker, E. H., J. H. Moe, R. B. Winter and S. E. Koop (2000). "Determination of “normal” thoracic kyphosis: a roentgenographic study of 121 “normal” children." Journal of Pediatric Orthopaedics 20(6): 796-798.
  • [3] Issahaku, S., E. Sackey, E. K. Tiburu and T. A. Sackey (2023). "Determination of the Lumbar Lordotic and Lumbosacral Angles in Normal Adults Ghanaian Population Using Radiologic Imaging Technique."
  • [4] Gray, J. C. and O. Grimsby (2012). "Interrelationship of the spine, rib cage, and shoulder." Physical therapy of the shoulder: 87-130.
  • [5] Barrett, E., K. McCreesh and J. Lewis (2014). "Reliability and validity of non-radiographic methods of thoracic kyphosis measurement: a systematic review." Manual therapy 19(1): 10-17.
  • [6] Chaise, F. O., C. T. Candotti, M. L. Torre, T. S. Furlanetto, P. Pelinson and J. F. Loss (2011). "Validation, repeatability and reproducibility of a noninvasive instrument for measuring thoracic and lumbar curvature of the spine in the sagittal plane." Brazilian Journal of Physical Therapy 15: 511-517.
  • [7] Perdriolle, R. and J. Vidal (1987). Morphology of scoliosis: three-dimensional evolution, SLACK Incorporated Thorofare, NJ. 10: 909-915.
  • [8] Fletcher, N. D., H. Jeffrey, M. Anna, R. Browne and D. J. Sucato (2012). "Residual thoracic hypokyphosis after posterior spinal fusion and instrumentation in adolescent idiopathic scoliosis: risk factors and clinical ramifications." Spine 37(3): 200-206.
  • [9] Parvaresh, K. C., E. J. Osborn, F. G. Reighard, J. Doan, T. P. Bastrom and P. O. Newton (2017). "Predicting 3D thoracic kyphosis using traditional 2D radiographic measurements in adolescent idiopathic scoliosis." Spine Deformity 5(3): 159-165.
  • [10] Hayashi, K., V. V. Upasani, J. B. Pawelek, C.-É. Aubin, H. Labelle, L. G. Lenke, R. Jackson and P. O. Newton (2009). "Three-dimensional analysis of thoracic apical sagittal alignment in adolescent idiopathic scoliosis." Spine 34(8): 792-797.
  • [11] Hwang, S. W., A. F. Samdani, M. Tantorski, P. Cahill, J. Nydick, A. Fine, R. R. Betz and M. D. Antonacci (2011). "Cervical sagittal plane decompensation after surgery for adolescent idiopathic scoliosis: an effect imparted by postoperative thoracic hypokyphosis." Journal of Neurosurgery: Spine 15(5): 491-496.
  • [12] Adams, M., D. McNally, H. Chinn and P. Dolan (1994). "The clinical biomechanics award paper 1993 posture and the compressive strength of the lumbar spine." Clinical Biomechanics 9(1): 5-14.
  • [13] Potvin, J., R. Norman and S. McGill (1991). "Reduction in anterior shear forces on the L4L5 disc by the lumbar musculature." Clinical Biomechanics 6(2): 88-96.
  • [14] McGill, S. M., R. L. Hughson and K. Parks (2000). "Changes in lumbar lordosis modify the role of the extensor muscles." Clinical biomechanics 15(10): 777-780.
  • [15] Ghorbani, L. and G. Ghasemi (2007). "Effects of eight weeks corrective exercises on lumbar lordosis." Journal of research in rehabilitation sciences 3(2).
  • [16] Pace, N., L. Ricci and S. Negrini (2013). "A comparison approach to explain risks related to X-ray imaging for scoliosis, 2012 SOSORT award winner." Scoliosis 8(1): 1-7.
  • [17] Farago, E., D. MacIsaac, M. Suk and A. D. Chan (2022). "A review of techniques for surface electromyography signal quality analysis." IEEE Reviews in Biomedical Engineering 16: 472-486.
  • [18] Turker, H. (2013). Electrodiagnosis in new frontiers of clinical research, BoD–Books on Demand.
  • [19] Gazzoni, M. (2010). "Multichannel surface electromyography in ergonomics: Potentialities and limits." Human Factors and Ergonomics in Manufacturing & Service Industries 20(4): 255-271.
  • [20] Taborri, J., J. Keogh, A. Kos, A. Santuz, A. Umek, C. Urbanczyk, E. van der Kruk and S. Rossi (2020). "Sport biomechanics applications using inertial, force, and EMG sensors: A literature overview." Applied bionics and biomechanics 20-20
  • [21] Li, G., O. W. Samuel, C. Lin, M. G. Asogbon, P. Fang and P. O. Idowu (2019). "Realizing efficient EMG-based prosthetic control strategy." Neural Interface: Frontiers and Applications: 149-166.
  • [22] Topçu, Ç., H. Uysal, Ö. Özkan, Ö. Özkan, Ö. Polat, M. Bedeloğlu, A. Akgül, E. N. Döğer, R. Sever and Ö. H. Çolak (2018). "Recovery of facial expressions using functional electrical stimulation after full-face transplantation." Journal of NeuroEngineering and Rehabilitation 15: 1
  • [23] Esposito, F., A. Veicsteinas, C. Orizio and D. Malgrati (1996). "Time and frequency domain analysis of electromyogram and sound myogram in the elderly." European journal of applied physiology and occupational physiology 73: 503-510.
  • [24] Altan, E., K. Pehlivan and E. Kaplanoğlu (2019). Comparison of EMG based finger motion classification algorithms. 2019 27th Signal Processing and Communications Applications Conference (SIU), IEEE.
  • [25] Ahamed, N. U., Z. Taha, M. Alqahtani, O. Altwijri, M. Rahman and A. Deboucha (2016). Age related differences in the surface EMG signals on adolescent's muscle during contraction. IOP Conference Series: Materials Science and Engineering, IOP Publishing.
  • [26] Junior, J. J. A. M., M. L. Freitas, H. V. Siqueira, A. E. Lazzaretti, S. F. Pichorim and S. L. Stevan Jr (2020). "Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach." Biomedical Signal Processing and Control 59: 101920.
  • [27] Ferdjallah, M., J. J. Wertsch and R. Shaker (2000). "Spectral analysis of surface electromyography (EMG) of upper esophageal sphincter-opening muscles during head lift exercise." Journal of rehabilitation research and development 37(3): 335-340.
  • [28] Chowdhury, R. H., M. B. Reaz, M. A. B. M. Ali, A. A. Bakar, K. Chellappan and T. G. Chang (2013). "Surface electromyography signal processing and classification techniques." Sensors 13(9): 12431-12466.
  • [29] Camata, T. V., J. L. Dantas, T. Abrão, M. A. Brunetto, A. C. Moraes and L. R. Altimari (2010). Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, IEEE.
  • [30] Sparto, P. J., M. Parnianpour, E. A. Barria and J. M. Jagadeesh (2000). "Wavelet and short-time Fourier transform analysis of electromyography for detection of back muscle fatigue." IEEE Transactions on rehabilitation engineering 8(3): 433-436.
  • [31] Zhang, X., Y. Wang and R. P. Han (2010). Wavelet transform theory and its application in EMG signal processing. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, IEEE.
  • [32] Strang, G. and T. Nguyen (1996). Wavelets and filter banks, SIAM.
  • [33] Rong, Y., D. Hao, X. Han, Y. Zhang, J. Zhang and Y. Zeng (2013). "Classification of surface EMGs using wavelet packet energy analysis and a genetic algorithm-based support vector machine." Neurophysiology 45: 39-48.
  • [34] Wallen, R. D. (2004). "The illustrated wavelet transform handbook." Biomedical Instrumentation & Technology 38(4): 298-298.
  • [35] Daubechies, I. (1992). Ten lectures on wavelets, SIAM.
  • [36] Englehart, K., B. Hudgin and P. A. Parker (2001). "A wavelet-based continuous classification scheme for multifunction myoelectric control." IEEE Transactions on Biomedical Engineering 48(3): 302-311.
  • [37] Tombak, K. (2021). Adölesan idiopatik skolyozda kontrollü schroth egzersiz ve ev programlarının gövde simetrisi, deformite algısı ve yaşam kalitesi üzerindeki etkilerinin karşılaştırılması (Doctoral dissertation), Eastern Meditarranean University, Cyprus
  • [38] Daryabor, A., Arazpour, M., Sharifi, G., Bani, M. A., Aboutorabi, A., & Golchin, N. (2017). Gait and energy consumption in adolescent idiopathic scoliosis: A literature review. Annals of physical and rehabilitation medicine, 60(2), 107-116.
  • [39] Wilczyński, J., Habik, N., Paprocki, M. J., Rychter, P., Wilczyński, I., & Dworakowska, D. (2017). Scoliosis compensation and postural responses in school girls. Journal of Education, Health and Sport, 7(8), 218-232.

ANALYSIS AND CLINICAL EVALUATION OF MUSCLE DYNAMICS IN ADOLESCENTS WITH SAGITTAL PLANE DEFORMITY

Year 2023, , 42 - 61, 30.09.2023
https://doi.org/10.59313/jsr-a.1296145

Abstract

Sagittal plane deformity can be defined as a deviation from the normal curvature of the spine in the sagittal plane. This deformity can distort the natural shape of the spine and cause posture problems. In recent years, effects such as reduced activity in daily life, increased time spent in front of computers and mobile phones, and inactivity during the recent pandemic have also led to a significant increase in sagittal plane deformity. In this study, 16 healthy adolescents and 16 adolescents with sagittal plane deformity participated. Surface EMG (sEMG) recordings were obtained from thoracal kyphosis subjects and lumbar lordosis subjects, commonly seen in patients with sagittal plane deformity (SPD), and from healthy subjects. After filtering the raw sEMG data, wavelet packet transform analysis was performed. The energy values of the wavelet packets corresponding to the low and high frequency components have been calculated. These energy values were statistically analysed using the Mann-Whitney U test to determine muscle differences between SPD subjects and healthy subjects. This statistical analysis identified the channels with significant differences between SPD subjects and healthy subjects. Channels with a statistical significance level of p<0.05 were included. When the muscle activation of these channels was compared, higher activity was found in SPD subjects, while in some movements activation was found in different channels in SPD subjects and healthy subjects. SPD subjects showed more muscle activity than healthy subjects and spent more energy to increase the quality of movements and to perform them with the correct muscle dynamics. It has been observed that SPD subjects develop compensations from different muscle regions in order to perform movements correctly due to postural changes. In healthy subjects, it was observed that movements were completed in accordance with the kinematics of the movement and that maximum movement quality was observed with less energy.

References

  • [1] Frost, B. A., S. Camarero-Espinosa and E. J. Foster (2019). "Materials for the spine: anatomy, problems, and solutions." Materials 12(2): 253.
  • [2] Boseker, E. H., J. H. Moe, R. B. Winter and S. E. Koop (2000). "Determination of “normal” thoracic kyphosis: a roentgenographic study of 121 “normal” children." Journal of Pediatric Orthopaedics 20(6): 796-798.
  • [3] Issahaku, S., E. Sackey, E. K. Tiburu and T. A. Sackey (2023). "Determination of the Lumbar Lordotic and Lumbosacral Angles in Normal Adults Ghanaian Population Using Radiologic Imaging Technique."
  • [4] Gray, J. C. and O. Grimsby (2012). "Interrelationship of the spine, rib cage, and shoulder." Physical therapy of the shoulder: 87-130.
  • [5] Barrett, E., K. McCreesh and J. Lewis (2014). "Reliability and validity of non-radiographic methods of thoracic kyphosis measurement: a systematic review." Manual therapy 19(1): 10-17.
  • [6] Chaise, F. O., C. T. Candotti, M. L. Torre, T. S. Furlanetto, P. Pelinson and J. F. Loss (2011). "Validation, repeatability and reproducibility of a noninvasive instrument for measuring thoracic and lumbar curvature of the spine in the sagittal plane." Brazilian Journal of Physical Therapy 15: 511-517.
  • [7] Perdriolle, R. and J. Vidal (1987). Morphology of scoliosis: three-dimensional evolution, SLACK Incorporated Thorofare, NJ. 10: 909-915.
  • [8] Fletcher, N. D., H. Jeffrey, M. Anna, R. Browne and D. J. Sucato (2012). "Residual thoracic hypokyphosis after posterior spinal fusion and instrumentation in adolescent idiopathic scoliosis: risk factors and clinical ramifications." Spine 37(3): 200-206.
  • [9] Parvaresh, K. C., E. J. Osborn, F. G. Reighard, J. Doan, T. P. Bastrom and P. O. Newton (2017). "Predicting 3D thoracic kyphosis using traditional 2D radiographic measurements in adolescent idiopathic scoliosis." Spine Deformity 5(3): 159-165.
  • [10] Hayashi, K., V. V. Upasani, J. B. Pawelek, C.-É. Aubin, H. Labelle, L. G. Lenke, R. Jackson and P. O. Newton (2009). "Three-dimensional analysis of thoracic apical sagittal alignment in adolescent idiopathic scoliosis." Spine 34(8): 792-797.
  • [11] Hwang, S. W., A. F. Samdani, M. Tantorski, P. Cahill, J. Nydick, A. Fine, R. R. Betz and M. D. Antonacci (2011). "Cervical sagittal plane decompensation after surgery for adolescent idiopathic scoliosis: an effect imparted by postoperative thoracic hypokyphosis." Journal of Neurosurgery: Spine 15(5): 491-496.
  • [12] Adams, M., D. McNally, H. Chinn and P. Dolan (1994). "The clinical biomechanics award paper 1993 posture and the compressive strength of the lumbar spine." Clinical Biomechanics 9(1): 5-14.
  • [13] Potvin, J., R. Norman and S. McGill (1991). "Reduction in anterior shear forces on the L4L5 disc by the lumbar musculature." Clinical Biomechanics 6(2): 88-96.
  • [14] McGill, S. M., R. L. Hughson and K. Parks (2000). "Changes in lumbar lordosis modify the role of the extensor muscles." Clinical biomechanics 15(10): 777-780.
  • [15] Ghorbani, L. and G. Ghasemi (2007). "Effects of eight weeks corrective exercises on lumbar lordosis." Journal of research in rehabilitation sciences 3(2).
  • [16] Pace, N., L. Ricci and S. Negrini (2013). "A comparison approach to explain risks related to X-ray imaging for scoliosis, 2012 SOSORT award winner." Scoliosis 8(1): 1-7.
  • [17] Farago, E., D. MacIsaac, M. Suk and A. D. Chan (2022). "A review of techniques for surface electromyography signal quality analysis." IEEE Reviews in Biomedical Engineering 16: 472-486.
  • [18] Turker, H. (2013). Electrodiagnosis in new frontiers of clinical research, BoD–Books on Demand.
  • [19] Gazzoni, M. (2010). "Multichannel surface electromyography in ergonomics: Potentialities and limits." Human Factors and Ergonomics in Manufacturing & Service Industries 20(4): 255-271.
  • [20] Taborri, J., J. Keogh, A. Kos, A. Santuz, A. Umek, C. Urbanczyk, E. van der Kruk and S. Rossi (2020). "Sport biomechanics applications using inertial, force, and EMG sensors: A literature overview." Applied bionics and biomechanics 20-20
  • [21] Li, G., O. W. Samuel, C. Lin, M. G. Asogbon, P. Fang and P. O. Idowu (2019). "Realizing efficient EMG-based prosthetic control strategy." Neural Interface: Frontiers and Applications: 149-166.
  • [22] Topçu, Ç., H. Uysal, Ö. Özkan, Ö. Özkan, Ö. Polat, M. Bedeloğlu, A. Akgül, E. N. Döğer, R. Sever and Ö. H. Çolak (2018). "Recovery of facial expressions using functional electrical stimulation after full-face transplantation." Journal of NeuroEngineering and Rehabilitation 15: 1
  • [23] Esposito, F., A. Veicsteinas, C. Orizio and D. Malgrati (1996). "Time and frequency domain analysis of electromyogram and sound myogram in the elderly." European journal of applied physiology and occupational physiology 73: 503-510.
  • [24] Altan, E., K. Pehlivan and E. Kaplanoğlu (2019). Comparison of EMG based finger motion classification algorithms. 2019 27th Signal Processing and Communications Applications Conference (SIU), IEEE.
  • [25] Ahamed, N. U., Z. Taha, M. Alqahtani, O. Altwijri, M. Rahman and A. Deboucha (2016). Age related differences in the surface EMG signals on adolescent's muscle during contraction. IOP Conference Series: Materials Science and Engineering, IOP Publishing.
  • [26] Junior, J. J. A. M., M. L. Freitas, H. V. Siqueira, A. E. Lazzaretti, S. F. Pichorim and S. L. Stevan Jr (2020). "Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach." Biomedical Signal Processing and Control 59: 101920.
  • [27] Ferdjallah, M., J. J. Wertsch and R. Shaker (2000). "Spectral analysis of surface electromyography (EMG) of upper esophageal sphincter-opening muscles during head lift exercise." Journal of rehabilitation research and development 37(3): 335-340.
  • [28] Chowdhury, R. H., M. B. Reaz, M. A. B. M. Ali, A. A. Bakar, K. Chellappan and T. G. Chang (2013). "Surface electromyography signal processing and classification techniques." Sensors 13(9): 12431-12466.
  • [29] Camata, T. V., J. L. Dantas, T. Abrão, M. A. Brunetto, A. C. Moraes and L. R. Altimari (2010). Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, IEEE.
  • [30] Sparto, P. J., M. Parnianpour, E. A. Barria and J. M. Jagadeesh (2000). "Wavelet and short-time Fourier transform analysis of electromyography for detection of back muscle fatigue." IEEE Transactions on rehabilitation engineering 8(3): 433-436.
  • [31] Zhang, X., Y. Wang and R. P. Han (2010). Wavelet transform theory and its application in EMG signal processing. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, IEEE.
  • [32] Strang, G. and T. Nguyen (1996). Wavelets and filter banks, SIAM.
  • [33] Rong, Y., D. Hao, X. Han, Y. Zhang, J. Zhang and Y. Zeng (2013). "Classification of surface EMGs using wavelet packet energy analysis and a genetic algorithm-based support vector machine." Neurophysiology 45: 39-48.
  • [34] Wallen, R. D. (2004). "The illustrated wavelet transform handbook." Biomedical Instrumentation & Technology 38(4): 298-298.
  • [35] Daubechies, I. (1992). Ten lectures on wavelets, SIAM.
  • [36] Englehart, K., B. Hudgin and P. A. Parker (2001). "A wavelet-based continuous classification scheme for multifunction myoelectric control." IEEE Transactions on Biomedical Engineering 48(3): 302-311.
  • [37] Tombak, K. (2021). Adölesan idiopatik skolyozda kontrollü schroth egzersiz ve ev programlarının gövde simetrisi, deformite algısı ve yaşam kalitesi üzerindeki etkilerinin karşılaştırılması (Doctoral dissertation), Eastern Meditarranean University, Cyprus
  • [38] Daryabor, A., Arazpour, M., Sharifi, G., Bani, M. A., Aboutorabi, A., & Golchin, N. (2017). Gait and energy consumption in adolescent idiopathic scoliosis: A literature review. Annals of physical and rehabilitation medicine, 60(2), 107-116.
  • [39] Wilczyński, J., Habik, N., Paprocki, M. J., Rychter, P., Wilczyński, I., & Dworakowska, D. (2017). Scoliosis compensation and postural responses in school girls. Journal of Education, Health and Sport, 7(8), 218-232.
There are 39 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Kadir Gök 0000-0003-3386-1512

Ela Naz Gök 0009-0000-5626-4652

Kadriye Tombak 0000-0002-9574-7443

Nehir Samancı Karaman 0000-0002-0110-1650

Ömer Halil Çolak 0000-0003-0293-3931

Publication Date September 30, 2023
Submission Date May 12, 2023
Published in Issue Year 2023

Cite

IEEE K. Gök, E. N. Gök, K. Tombak, N. Samancı Karaman, and Ö. H. Çolak, “ANALYSIS AND CLINICAL EVALUATION OF MUSCLE DYNAMICS IN ADOLESCENTS WITH SAGITTAL PLANE DEFORMITY”, JSR-A, no. 054, pp. 42–61, September 2023, doi: 10.59313/jsr-a.1296145.