Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems

M. H. Pérez-Bahena; P. A. Niño-Suarez; O. F. Avilés Sánchez; R. D. Hernández Beleño; O. I. Pellico-Sánchez

doi:10.1007/978-981-19-6347-6_3

Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems

M. H. Pérez-Bahena, P. A. Niño-Suarez, O. F. Avilés Sánchez, R. D. Hernández Beleño, O. I. Pellico-Sánchez

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Azcapotzalco

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The analysis of the gait cycle in the lower limb has become relevant in recent years, as it is necessary to complement many systems that focus from assistance to lower limb rehabilitation. Having adequate data to be able to compare gait cycles is an area of opportunity that this work covers. To achieve this, data capture was performed from two systems, with the objective of creating a real database to be able to apply them to existing mechanical systems or use them in intelligent systems; the hip, knee, and ankle joints were selected, which are the most important in the analysis of the gait cycle, in the three anatomical planes. In addition, plantar pressure data were obtained during the gait cycle, and the result of the data obtained has application for multiple systems.

Original language	English
Title of host publication	Communication and Applied Technologies - Proceedings of ICOMTA 2022
Editors	Paulo Carlos López-López, Ángel Torres-Toukoumidis, Andrea De-Santis, Óscar Avilés, Daniel Barredo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	25-34
Number of pages	10
ISBN (Print)	9789811963469
DOIs	https://doi.org/10.1007/978-981-19-6347-6_3
State	Published - 2023
Event	International Conference on Communication and Applied Technologies, ICOMTA 2022 - Cuenca, Ecuador Duration: 7 Sep 2022 → 9 Sep 2022

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	318
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	International Conference on Communication and Applied Technologies, ICOMTA 2022
Country/Territory	Ecuador
City	Cuenca
Period	7/09/22 → 9/09/22

Keywords

Foot
Gait analysis
Hip
Knee
Lower limb
Plantar pressure

Access to Document

10.1007/978-981-19-6347-6_3

Cite this

Pérez-Bahena, M. H., Niño-Suarez, P. A., Avilés Sánchez, O. F., Hernández Beleño, R. D., & Pellico-Sánchez, O. I. (2023). Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems. In P. C. López-López, Á. Torres-Toukoumidis, A. De-Santis, Ó. Avilés, & D. Barredo (Eds.), Communication and Applied Technologies - Proceedings of ICOMTA 2022 (pp. 25-34). (Smart Innovation, Systems and Technologies; Vol. 318). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6347-6_3

Pérez-Bahena, M. H. ; Niño-Suarez, P. A. ; Avilés Sánchez, O. F. et al. / Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems. Communication and Applied Technologies - Proceedings of ICOMTA 2022. editor / Paulo Carlos López-López ; Ángel Torres-Toukoumidis ; Andrea De-Santis ; Óscar Avilés ; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. pp. 25-34 (Smart Innovation, Systems and Technologies).

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abstract = "The analysis of the gait cycle in the lower limb has become relevant in recent years, as it is necessary to complement many systems that focus from assistance to lower limb rehabilitation. Having adequate data to be able to compare gait cycles is an area of opportunity that this work covers. To achieve this, data capture was performed from two systems, with the objective of creating a real database to be able to apply them to existing mechanical systems or use them in intelligent systems; the hip, knee, and ankle joints were selected, which are the most important in the analysis of the gait cycle, in the three anatomical planes. In addition, plantar pressure data were obtained during the gait cycle, and the result of the data obtained has application for multiple systems.",

keywords = "Foot, Gait analysis, Hip, Knee, Lower limb, Plantar pressure",

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Pérez-Bahena, MH, Niño-Suarez, PA, Avilés Sánchez, OF, Hernández Beleño, RD & Pellico-Sánchez, OI 2023, Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems. in PC López-López, Á Torres-Toukoumidis, A De-Santis, Ó Avilés & D Barredo (eds), Communication and Applied Technologies - Proceedings of ICOMTA 2022. Smart Innovation, Systems and Technologies, vol. 318, Springer Science and Business Media Deutschland GmbH, pp. 25-34, International Conference on Communication and Applied Technologies, ICOMTA 2022, Cuenca, Ecuador, 7/09/22. https://doi.org/10.1007/978-981-19-6347-6_3

Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems. / Pérez-Bahena, M. H.; Niño-Suarez, P. A.; Avilés Sánchez, O. F. et al.
Communication and Applied Technologies - Proceedings of ICOMTA 2022. ed. / Paulo Carlos López-López; Ángel Torres-Toukoumidis; Andrea De-Santis; Óscar Avilés; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. p. 25-34 (Smart Innovation, Systems and Technologies; Vol. 318).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems

AU - Pérez-Bahena, M. H.

AU - Niño-Suarez, P. A.

AU - Avilés Sánchez, O. F.

AU - Hernández Beleño, R. D.

AU - Pellico-Sánchez, O. I.

PY - 2023

Y1 - 2023

N2 - The analysis of the gait cycle in the lower limb has become relevant in recent years, as it is necessary to complement many systems that focus from assistance to lower limb rehabilitation. Having adequate data to be able to compare gait cycles is an area of opportunity that this work covers. To achieve this, data capture was performed from two systems, with the objective of creating a real database to be able to apply them to existing mechanical systems or use them in intelligent systems; the hip, knee, and ankle joints were selected, which are the most important in the analysis of the gait cycle, in the three anatomical planes. In addition, plantar pressure data were obtained during the gait cycle, and the result of the data obtained has application for multiple systems.

AB - The analysis of the gait cycle in the lower limb has become relevant in recent years, as it is necessary to complement many systems that focus from assistance to lower limb rehabilitation. Having adequate data to be able to compare gait cycles is an area of opportunity that this work covers. To achieve this, data capture was performed from two systems, with the objective of creating a real database to be able to apply them to existing mechanical systems or use them in intelligent systems; the hip, knee, and ankle joints were selected, which are the most important in the analysis of the gait cycle, in the three anatomical planes. In addition, plantar pressure data were obtained during the gait cycle, and the result of the data obtained has application for multiple systems.

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BT - Communication and Applied Technologies - Proceedings of ICOMTA 2022

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A2 - De-Santis, Andrea

A2 - Avilés, Óscar

A2 - Barredo, Daniel

PB - Springer Science and Business Media Deutschland GmbH

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Y2 - 7 September 2022 through 9 September 2022

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Pérez-Bahena MH, Niño-Suarez PA, Avilés Sánchez OF, Hernández Beleño RD, Pellico-Sánchez OI. Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems. In López-López PC, Torres-Toukoumidis Á, De-Santis A, Avilés Ó, Barredo D, editors, Communication and Applied Technologies - Proceedings of ICOMTA 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 25-34. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-19-6347-6_3

Lower Limb Gait Cycle and Foot Plantar Pressure Data Collection for Assistance and Rehabilitation Systems

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Keywords

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