Towards Artificial Proprioception in Prosthetic Devices

International Journal of Medical Science

© 2023 by SSRG - IJMS Journal

Volume 10 Issue 1

Year of Publication : 2023

Authors : Octavio Diaz-Hernandez, Igor Salinas-Sanchez

10.14445/23939117/IJMS-V10I1P101

How to Cite?

Octavio Diaz-Hernandez, Igor Salinas-Sanchez, "Towards Artificial Proprioception in Prosthetic Devices," SSRG International Journal of Medical Science, vol. 10,  no. 1, pp. 1-5, 2023. Crossref, https://doi.org/10.14445/23939117/IJMS-V10I1P101

Abstract:

The human proprioception is one of the mechanisms utilized to recognize the location of the different segments or body parts, also identify them in space; the problem comes when the loss of a nervous pathway (e.g., due to amputation of a limb). Given the background in literature and technological development, this work's purpose is to establish a definition and to demarcate a methodology for Artificial Proprioception in persons who have lost their natural proprioception. Although this work can be applied to a wide variety of disorders, this work is aimed to be implemented in Prosthetic Devices to assist people with amputation, and the major example is the loss of the lower limb at the transfemoral level. We see Artificial Proprioception as the integral incorporation of a mechatronic system to the person, not only for the prosthesis but also for neurological rehabilitation purposes to regain lost abilities that can help the patient to achieve activities or avoid accidents (e.g., a fall during gait).

Keywords:

Artificial proprioception, Rehabilitation auxiliary devices, Biomechatronic, Prosthetics, Orthotics.

References:

[1] Rafael Escamilla-Nunez, Alexandria Michelini, and Jan Andrysek, “A Wearable Vibrotactile Biofeedback System Targeting Gait Symmetry of Lower-limb Prosthetic Users,” Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 3281–3284, 2020. Crossref, http://doi.org/10.1109/EMBC44109.2020.9176666
[2] Raffaele Di Gregorio, and Lucas Vocenas, “Identification of Gait-Cycle Phases for Prosthesis Control,” Biomimetics, vol. 6, no. 2, 2021. Crossref, http://doi.org/10.3390/biomimetics6020022
[3] Guoxiang Fu et al., “Mechatronic Design of a Low-Noise Active Knee Prosthesis with High Backdrivability,” Proceedings - IEEE International Conference on Robotics and Automation, pp. 7027–7032, 2021. Crossref, http://doi.org/10.1109/ICRA48506.2021.9562052
[4] Rafael R. Torrealba, and Edgar D. Fonseca-Rojas, “Toward the Development of Knee Prostheses: Review of Current Active Devices,” Applied Mechanics Reviews, vol. 71, no. 3, 2019. Crossref, http://doi.org/10.1115/1.4043323
[5] Oscar Arteaga et al., “Design of Human Knee Smart Prosthesis with Active Torque Control,” International Journal of Mechanical Engineering and Robotics Research, vol. 9, no. 3, pp. 347–352, 2020. Crossref, http://doi.org/10.18178/ijmerr.9.3.347-352
[6] Christine Chen et al., “Economic Benefits of Microprocessor Controlled Prosthetic Knees: A Modeling Study,” Journal of Prosthetics and Orthotics, vol. 31, no. 1, pp. p84–p93, 2019. Crossref, http://doi.org/10.1097/JPO.0000000000000236
[7] Steven A. Gard, “The Influence of Prosthetic Knee Joints on Gait,” Handbook of Human Motion, vol. 2–3, 2018. Crossref, http://doi.org/10.1007/978-3-319-14418-4_75
[8] Wen-Zhou Li, Guang-Zhong Cao, and Ai-Bin Zhu, “Review on Control Strategies for Lower Limb Rehabilitation Exoskeletons,” IEEE Access, vol. 9, pp. 123040–123060, 2021. Crossref, http://doi.org/10.1109/ACCESS.2021.3110595
[9] Majun Song et al., “Design Method and Verification of a Hybrid Prosthetic Mechanism with Energy-Damper Clutchable Device for Transfemoral Amputees,” Frontiers of Mechanical Engineering, vol. 16, no. 4, pp. 747–764, 2021. Crossref, http://doi.org/10.1007/s11465-021-0644-4
[10] J. T. Kahle et al., “Effect of Transfemoral Prosthetic Socket Interface Design on Gait, Balance, Mobility, and Preference: A Randomized Clinical Trial,” Prosthetics and Orthotics International, vol. 45, no. 4, pp. 304–312, 2021. Crossref, http://doi.org/10.1097/PXR.0000000000000013
[11] J. Kahle et al., “The Effect of the Transfemoral Prosthetic Socket Interface Designs on Skeletal Motion and Socket Comfort: A Randomized Clinical Trial,” Prosthetics and Orthotics International, vol. 44, no. 3, pp. 145–154, 2020. Crossref, http://doi.org/10.1177/0309364620913459
[12] T. Kevin Best et al., “Phase-Variable Control of a Powered Knee-Ankle Prosthesis over Continuously Varying Speeds and Inclines,” IEEE International Conference on Intelligent Robots and Systems, pp. 6182–6189, 2021. Crossref, http://doi.org/10.1109/IROS51168.2021.9636180
[13] Huang Qitao, Li Bowen, and Liu Huajian, “An Electro-Hydrostatic Powered Ankle-Foot Prosthesis Improves the Locomotion Gait of Lower-Limb Amputees,” Journal of Harbin Engineering University, vol. 42, no. 10, pp. 1527–1534, 2021. Crossref, http://doi.org/10.11990/jheu.201912008
[14] J. Sebastian Contreras Marquez, and C. Cifuentes-De La Portilla, “Design of Transtibial Mechanical Prosthesis with Feedback to Ground Irregularities,” 2021 IEEE 2nd International Congress of Biomedical Engineering and Bioengineering, CI-IB and BI, pp. 1-4, 2021. Crossref, http://doi.org/10.1109/CI-IBBI54220.2021.9626051
[15] Stanisa Raspopovic, Giacomo Valle, and Francesco Maria Petrini, “Sensory Feedback for Limb Prostheses in Amputees,” Nature Materials, vol. 20, no. 7, pp. 925–939, 2021. Crossref, http://doi.org/10.1038/s41563-021-00966-9
[16] Chiara Basla et al., “A Non-Invasive Wearable Sensory Leg Neuroprosthesis: Mechanical, Electrical and Functional Validation,” Journal of Neural Engineering, vol. 19, no. 1, 2022. Crossref, http://doi.org/10.1088/1741-2552/ac43f8
[17] John E. Mendoza, and Anne L. Foundas, “Clinical Neuroanatomy: A Neurobehavioral Approach,” Springer, 2008. Crossref, https://doi.org/10.1007/978-0-387-36601-2
[18] Mahesh Gadhvi, and Muhammad Waseem, “Physiology, Sensory System,” Stat Pearls, 2021.
[19] J. L. Taylor, “Proprioception,” Encyclopedia of Neuroscience, pp. 1143–1149, 2009. Crossref, http://doi.org/10.1016/B978-008045046- 9.01907-0
[20] Rafael Escamilla-Nunez, Alexandria Michelini, and Jan Andrysek, “Biofeedback Systems for Gait Rehabilitation of Individuals with Lower-Limb Amputation: A Systematic Review,” Sensors, vol. 20, no. 6, p. 1628, 2020. Crossref, http://doi.org/10.3390/s20061628