A convolution-based asymmetry metric for intersegmental synergistic coordination in sagittal 2D gait analysis
Tóm tắt: 21
|
PDF: 20
##plugins.themes.academic_pro.article.main##
Author
-
Fukino GoKogakuin University, JapanTachibana KantaKogakuin University, Japan
Từ khóa:
Tóm tắt
This study proposes a novel method to evaluate gait symmetry based on the velocity patterns of body parts during walking. Unlike conventional approaches relying on electromyographic (EMG) or acceleration differences between sides, this method focuses on intersegmental coordination—the dynamic relationship between contralateral body parts. The coordination is modeled as a Linear Time-Invariant (LTI) system, reflecting how muscle contractions produce joint acceleration and how joint elasticity and viscosity affect velocity. Gait symmetry is then quantified by measuring the dissimilarity between the left and right LTI systems. The proposed metric was applied to video data from five healthy subjects walking under both normal and intentionally asymmetrical conditions. Results demonstrate that this velocity-based approach effectively captures gait asymmetries, providing a new framework for motion analysis that emphasizes the dynamic properties of musculoskeletal coordination.
Tài liệu tham khảo
-
[1] W. Wang, K. Li, N. Wei, C. Yin, and S. Yue, “Post-stroke asymmetry of muscle contractions for knee flexion and extension during walking,” in 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Datong, China, 2016, pp. 1712-1716.
[2] R. Rathore, A. K. Singh, H. Chaudhary, and K. Kandan, “Gait Abnormality Detection in Unilateral Trans-Tibial Amputee in Real-Time Gait Using Wearable Setup,” IEEE Sensors Journal, vol. 23, no. 12, pp. 12567-12573, 15 Jun. 2023, doi: 10.1109/JSEN.2023.3263399.
[3] L. D'Arco et al., “Smart Insoles-based Gait Symmetry Detection for People with Lower-limb Amputation,” in 2024 35th Irish Signals and Systems Conference (ISSC), Belfast, United Kingdom, 2024, pp. 1-7, doi: 10.1109/ISSC61953.2024.10602869.
[4] I. Loiret et al., “Are Wearable Insoles a Validated Tool for Quantifying Transfemoral Amputee Gait Asymmetry,” Prosthetics and Orthotics International, vol. 43, no. 5, pp. 492-499, 2019, doi: 10.1177/0309364619865814.
[5] J. R. Williamson, A. Dumas, A. R. Hess, T. Patel, B. A. Telfer, and M. J. Buller, “Detecting and tracking gait asymmetries with wearable accelerometers,” in 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Cambridge, MA, USA, 2015, pp. 1-6.
[6] S. Qin, B. Dai, J. Yan, P. Li, Z. Liu, and X. Chen, “Human Gait Symmetry Analysis Based on Human Electrostatic Fields,” IEEE Sensors Journal, vol. 23, no. 12, pp. 13422-13432, 15 Jun. 2023, doi: 10.1109/JSEN.2023.3273604.
[7] X. Chen, J. Yan, S. Qin, P. Li, S. Ning, and Y. Liu, “Fall Detection Method Based on a Human Electrostatic Field and VMD-ECANet Architecture,” IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 1, pp. 583-595, Jan. 2025, doi: 10.1109/JBHI.2024.3481237.
[8] S. Qin, D. Gao, X. Chen, S. Ning, Z. Liu, and P. Li, “Analysis of Motor Functions of Hemiplegic Patients Based on Dual-Mode Signal Fusion,” IEEE Sensors Journal, vol. 24, no. 20, pp. 32694-32706, 15 Oct. 2024, doi: 10.1109/JSEN.2024.3450540.
[9] S. Qin, J. Yan, X. Chen, W. Li, P. Li, and Z. Liu, “Assessing the Stability of Human Gait Based on a Human Electrostatic Field Detection System,” IEEE Sensors Journal, vol. 24, no. 7, pp. 11036-11047, 1 Apr. 2024, doi: 10.1109/JSEN.2024.3370301.
[10] G. Yogev, M. Plotnik, C. Peretz, N. Giladi, and J. M. Hausdorff, “Gait asymmetry in patients with Parkinson’s disease and elderly fallers: when does the bilateral coordination of gait require attention?” Experimental Brain Research, vol. 177, no. 3, pp. 336–346, Sep. 2006, doi: 10.1007/s00221-006-0676-3.
[11] P. G. Adamczyk and A. D. Kuo, “Mechanisms of Gait Asymmetry Due to Push-Off Deficiency in Unilateral Amputees,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 23, no. 5, pp. 776-785, Sep. 2015, doi: 10.1109/TNSRE.2014.2356722.
[12] A. S. Anna and N. Wickström, “A Symbol-Based Approach to Gait Analysis From Acceleration Signals: Identification and Detection of Gait Events and a New Measure of Gait Symmetry,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 5, pp. 1180-1187, Sep. 2010, doi: 10.1109/TITB.2010.2047402.
[13] W. Zhang, M. Smuck, C. Legault, M. A. Ith, A. Muaremi, and K. Aminian, “Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients,” Sensors, vol. 18, no. 10, p. 3322, 3 Oct. 2018, doi: 10.3390/s18103322.
[14] D. Gouwanda, “Further validation of Normalized Symmetry Index and normalized cross-correlation in identifying gait asymmetry on restricted knee and ankle movement,” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Langkawi, Malaysia, 2012, pp. 423-427, doi: 10.1109/IECBES.2012.6498167.
[15] W. Sheng, W. Guo, F. Zha, Z. Jiang, X. Wang, and H. Zhang, “The Effectiveness of Gait Event Detection Based on Absolute Shank Angular Velocity in Turning,” in 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM), Toyonaka, Japan, 2019, pp. 899-904, doi: 10.1109/ICARM.2019.8834082.
[16] A. C. Yep Khoo, Y. Ting Yap, D. Gouwanda, and A. A. Gopalai, “Examination of Interlimb Coordination of Human Asymmetrical Gait,” in 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Sarawak, Malaysia, 2018, pp. 680-685, doi: 10.1109/IECBES.2018.8626691.
[17] P. G. Arauz et al., “Spine and lower body symmetry during treadmill walking in healthy individuals – In-vivo 3-dimensional kinematic analysis,” PLOS ONE, vol. 17, no. 10, e0275174, 2022.
[18] H. L. Siebers et al., “Comparison of different symmetry indices for the quantification of dynamic joint angles,” BMC Sports Science, Medicine and Rehabilitation, vol. 13, no. 1, 2021.
[19] C. Ochoa-Diaz, A. Padilha, and L. Bó, “Symmetry analysis of amputee gait based on body center of mass trajectory and discrete Fourier transform,” Sensors, vol. 20, no. 8, 2020.

