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The Center of Pressure Velocity as a Discriminant of Static Alignment in Transtibial Prostheses


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DOI: https://doi.org/10.15866/ireme.v17i6.23631

Abstract


Alignment of transtibial prostheses is a key factor in the rehabilitation of individuals with below-knee amputation. Despite being performed by trained and experienced personnel, alignment often relies on observational methods, highlighting the need for technological tools that provide objective guidance in the placement of prosthesis components. A case study has been conducted, measuring the Center of Pressure (CoP) in five participants with transtibial amputation at three different locations within the socket: alignment, flexion, and extension. Variability in CoP velocity has been found in relation to socket location, and two computational models (decision trees and KNN K-Nearest Neighbors) have been generated to determine the correct socket placement. The computational models have demonstrated an accuracy of 0.677 for the decision tree and 0.787 for KNN, discriminating the socket positions based on CoP velocity. This provides valuable information to medical professional for evaluating alignment and supports the rehabilitation process. Overall, the text presents significant research on the alignment of transtibial prostheses and offers a potential solution to the need for technological tools to improve the accuracy and objectivity of the alignment process.
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Keywords


Alignment of Transtibial; Center for Pressure (CoP); k-Nearest Neighbors; Prosthesis; Support Vector Machines

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References


L. Baron, Functionality assessment in unilateral transtibial amputee patients based on the Prosthesis Evaluation Questionnaire (PEQ), Universidad El Bosque, 2020.

M. P. Chagas, F. R. Castro, M. A. A. Sanches, J. H. Agostinho, C. A. Alves, and A. A. Carvalho, Instrumental platform for the static alignment of lower limb prostheses, Instrum. Sci. Technol., vol. 48, no. 3, pp. 231-241, May 2020.
https://doi.org/10.1080/10739149.2019.1691586

E. Vázquez, Amputees and their rehabilitation. México, DF: CONACYT, 2016. [Online]. Available:
https://www.anmm.org.mx/publicaciones/ultimas_publicaciones/Rehabilitacion.pdf

Camargo, E., Luengas, L., Garzón, E., Effects of Dynamic Alignment on the Transtibial Prosthetic Gait in the Sagittal Plane of a Kinematic Model Using OpenSim, (2022) International Review on Modelling and Simulations (IREMOS), 15 (6), pp. 374-380.
https://doi.org/10.15866/iremos.v15i6.19054

L. Montesinos, R. Castaldo, and L. Pecchia, On the use of approximate entropy and sample entropy with centre of pressure time-series, J. Neuroeng. Rehabil., vol. 15, no. 1, 2018.
https://doi.org/10.1186/s12984-018-0465-9

A. Khajuria and D. Joshi, EEG-explained cortical correlates of transfemoral amputees during balancing with vibrotactile feedback: A pilot study, Med. Eng. Phys., vol. 101, 2022.
https://doi.org/10.1016/j.medengphy.2022.103772

S. Baig, R. M. Dansereau, A. D. C. Chan, A. Remaud, and M. Bilodeau, Cluster Analysis of Center-of-Pressure Measures, Int. J. Electr. Comput. Eng., vol. 1, no. 1, 2012.
https://doi.org/10.11159/ijecs.2012.002

D. C. Toloza, L. A. Luengas-C., and Y. Pérez, Analysis tools for static postural stability. Application case: individuals with transtibial amputation. Bogotá: UD Editorial, 2022. [Online]. Available:
https://www.udistrital.edu.co/universidad/quienes-somos/historia/

G. Sarailidis, T. Wagener, and F. Pianosi, Integrating scientific knowledge into machine learning using interactive decision trees, Comput. Geosci., vol. 170, 2023.
https://doi.org/10.1016/j.cageo.2022.105248

C. B. Tan, M. H. A. Hijazi, and P. N. E. Nohuddin, A comparison of different support vector machine kernels for artificial speech detection, Telkomnika (Telecommunication Comput. Electron. Control., vol. 21, no. 1, 2023.
https://doi.org/10.12928/telkomnika.v21i1.24259

Al-Tarawneh, M., Muheilan, M., Al Tarawneh, Z., Hand Movement-Based Diabetes Detection Using Machine Learning Techniques, (2021) International Journal on Engineering Applications (IREA), 9 (4), pp. 234-242.
https://doi.org/10.15866/irea.v9i4.20616

E. Matel, F. Vahdatikhaki, S. Hosseinyalamdary, T. Evers, and H. Voordijk, An artificial neural network approach for cost estimation of engineering services, Int. J. Constr. Manag., vol. 22, no. 7, 2022.
https://doi.org/10.1080/15623599.2019.1692400

Y. Du et al., A classification model for detection of ductal carcinoma in situ by Fourier transform infrared spectroscopy based on deep structured semantic model, Anal. Chim. Acta, vol. 1251, 2023.
https://doi.org/10.1016/j.aca.2023.340991

L. A. Luengas-C., D. C. Toloza, and L. F. Wanumen, Contribution of each leg in the static postural stability of unilateral transtibial amputees, a study with Information Theory, Inge Cuc, vol. 17, no. 2, pp. 211-220, 2021.

N. Tafti, M. Karimlou, M. A. Mardani, A. S. Jafarpisheh, G. R. Aminian, and R. Safari, Development and preliminary evaluation of a new anatomically based prosthetic alignment method for below-knee prosthesis, Assist. Technol., vol. 32, no. 1, pp. 38-46, Jan. 2020.
https://doi.org/10.1080/10400435.2018.1467513

R. T. Disler et al., Factors impairing the postural balance in COPD patients and its influence upon activities of daily living, Eur. Respir. J., vol. 15, no. 1, 2019.

H. Hashimoto, T. Kobayashi, F. Gao, M. Kataoka, M. S. Orendurff, and K. Okuda, The effect of transverse prosthetic alignment changes on socket reaction moments during gait in individuals with transtibial amputation, Gait Posture, vol. 65, no. June, pp. 8-14, 2018.
https://doi.org/10.1016/j.gaitpost.2018.06.119

G. Pirouzi, N. A. Abu Osman, S. Ali, and M. Davoodi Makinejad, A new prosthetic alignment device to read and record prosthesis alignment data, Proc. Inst. Mech. Eng. Part H J. Eng. Med., vol. 231, no. 12, pp. 1127-1132, Dec. 2017.
https://doi.org/10.1177/0954411917735082

T. Nomura, K. Watanabe, T. Nosaka, H. Matsubara, M. Akiyama, and K. Inui, The relationship between trans-femoral prosthesis alignment and the center trajectory of plantar pressure in the frontal plane, J. Phys. Ther. Sci., vol. 28, no. 2, 2016.
https://doi.org/10.1589/jpts.28.576

K. Taneda et al., Effects of simulated peripheral visual field loss on the static postural control in young healthy adults, Gait Posture, vol. 86, no. December 2019, pp. 233-239, 2021.
https://doi.org/10.1016/j.gaitpost.2021.03.011

A. A. Ramli et al., Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer : Classical Machine Learning and Deep Learning Approaches, Elsevier, 2021.

X. Zhang, Z. Liu, and G. Qiu, Measuring Balance Abilities of Transtibial Amputees Using Multiattribute Utility Theory, Biomed Res. Int., vol. 2021, 2021.
https://doi.org/10.1155/2021/8340367

N. Y. Won et al., Scoping review to evaluate existing measurement parameters and clinical outcomes of transtibial prosthetic alignment and socket fit, Prosthetics and Orthotics International, vol. 46, no. 2. 2022.
https://doi.org/10.1097/PXR.0000000000000061

Ben Safar, S., A New Approach for Faults Detection and Classification in Overhead Line Systems Using Multiple Methods, (2020) International Review of Electrical Engineering (IREE), 15 (5), pp. 412-420.
https://doi.org/10.15866/iree.v15i5.16800

Moloi, K., Jordaan, J., Hamam, Y., The Development of a High Impedance Fault Diagnostic Scheme on Power Distribution Network, (2020) International Review of Electrical Engineering (IREE), 15 (1), pp. 69-79.
https://doi.org/10.15866/iree.v15i1.17074


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