A real-time algorithm for movement assessment using fuzzy logic of hip arthroplasty patients

César Guevara, Janio Jadán-Guerrero, Yves Rybarczyk, Patricia Acosta-Vargas, Wilmer Esparza, Mario González, Santiago Villarreal, Sandra Sanchez-Gordon, Tania Calle-Jimenez, Isabel L. Nunes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The present work proposes a model of detection of movements of patients in rehabilitation of hip surgery in real time. The model applies the Fuzzy Logic technique to identify correct and incorrect movements in the execution of rehabilitation exercises using the motion capture device called XBOXONE Microsoft’s Kinect. An algorithm generates a multivalent logical model that allows the simultaneous modeling of deductive and decision-making processes. This model identifies the correct and incorrect movements of the patient during the execution of rehabilitation exercises. This model uses all the information collected from 24 points of the body with their respective axes of coordinates (X, Y, Z). Using data mining analysis, the algorithm selects the most remarkable attributes, eliminating non-relevant information. The main contributions of this work are: creation of a patient profile based on the movement of the human being in a generic way for the detection and prediction of execution of physical exercises in rehabilitation. On the other hand, an avatar was developed in 3D, which copies and evidences graphically the exercises performed by patients in real time.

Original languageEnglish
Title of host publicationAdvances in Human Factors and Systems Interaction - Proceedings of the AHFE 2018 International Conference on Human Factors and Systems Interaction, 2018
EditorsIsabel L. Nunes
PublisherSpringer Verlag
Pages265-273
Number of pages9
ISBN (Print)9783319943336
DOIs
Publication statusPublished - 1 Jan 2019
EventAHFE International Conference on Human Factors and Systems Interaction, 2018 - Orlando, United States
Duration: 21 Jul 201825 Jul 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume781
ISSN (Print)2194-5357

Conference

ConferenceAHFE International Conference on Human Factors and Systems Interaction, 2018
CountryUnited States
CityOrlando
Period21/07/1825/07/18

Fingerprint

Arthroplasty
Fuzzy logic
Patient rehabilitation
Surgery
Data mining
Decision making

Keywords

  • Fuzzy logic
  • Hip arthroplasty patients
  • Kinect
  • Movement assessment
  • Tele-rehabilitation platform

Cite this

Guevara, C., Jadán-Guerrero, J., Rybarczyk, Y., Acosta-Vargas, P., Esparza, W., González, M., ... Nunes, I. L. (2019). A real-time algorithm for movement assessment using fuzzy logic of hip arthroplasty patients. In I. L. Nunes (Ed.), Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2018 International Conference on Human Factors and Systems Interaction, 2018 (pp. 265-273). (Advances in Intelligent Systems and Computing; Vol. 781). Springer Verlag. https://doi.org/10.1007/978-3-319-94334-3_27
Guevara, César ; Jadán-Guerrero, Janio ; Rybarczyk, Yves ; Acosta-Vargas, Patricia ; Esparza, Wilmer ; González, Mario ; Villarreal, Santiago ; Sanchez-Gordon, Sandra ; Calle-Jimenez, Tania ; Nunes, Isabel L. / A real-time algorithm for movement assessment using fuzzy logic of hip arthroplasty patients. Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2018 International Conference on Human Factors and Systems Interaction, 2018. editor / Isabel L. Nunes. Springer Verlag, 2019. pp. 265-273 (Advances in Intelligent Systems and Computing).
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Guevara, C, Jadán-Guerrero, J, Rybarczyk, Y, Acosta-Vargas, P, Esparza, W, González, M, Villarreal, S, Sanchez-Gordon, S, Calle-Jimenez, T & Nunes, IL 2019, A real-time algorithm for movement assessment using fuzzy logic of hip arthroplasty patients. in IL Nunes (ed.), Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2018 International Conference on Human Factors and Systems Interaction, 2018. Advances in Intelligent Systems and Computing, vol. 781, Springer Verlag, pp. 265-273, AHFE International Conference on Human Factors and Systems Interaction, 2018, Orlando, United States, 21/07/18. https://doi.org/10.1007/978-3-319-94334-3_27

A real-time algorithm for movement assessment using fuzzy logic of hip arthroplasty patients. / Guevara, César; Jadán-Guerrero, Janio; Rybarczyk, Yves; Acosta-Vargas, Patricia; Esparza, Wilmer; González, Mario; Villarreal, Santiago; Sanchez-Gordon, Sandra; Calle-Jimenez, Tania; Nunes, Isabel L.

Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2018 International Conference on Human Factors and Systems Interaction, 2018. ed. / Isabel L. Nunes. Springer Verlag, 2019. p. 265-273 (Advances in Intelligent Systems and Computing; Vol. 781).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Esparza, Wilmer

AU - González, Mario

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N2 - The present work proposes a model of detection of movements of patients in rehabilitation of hip surgery in real time. The model applies the Fuzzy Logic technique to identify correct and incorrect movements in the execution of rehabilitation exercises using the motion capture device called XBOXONE Microsoft’s Kinect. An algorithm generates a multivalent logical model that allows the simultaneous modeling of deductive and decision-making processes. This model identifies the correct and incorrect movements of the patient during the execution of rehabilitation exercises. This model uses all the information collected from 24 points of the body with their respective axes of coordinates (X, Y, Z). Using data mining analysis, the algorithm selects the most remarkable attributes, eliminating non-relevant information. The main contributions of this work are: creation of a patient profile based on the movement of the human being in a generic way for the detection and prediction of execution of physical exercises in rehabilitation. On the other hand, an avatar was developed in 3D, which copies and evidences graphically the exercises performed by patients in real time.

AB - The present work proposes a model of detection of movements of patients in rehabilitation of hip surgery in real time. The model applies the Fuzzy Logic technique to identify correct and incorrect movements in the execution of rehabilitation exercises using the motion capture device called XBOXONE Microsoft’s Kinect. An algorithm generates a multivalent logical model that allows the simultaneous modeling of deductive and decision-making processes. This model identifies the correct and incorrect movements of the patient during the execution of rehabilitation exercises. This model uses all the information collected from 24 points of the body with their respective axes of coordinates (X, Y, Z). Using data mining analysis, the algorithm selects the most remarkable attributes, eliminating non-relevant information. The main contributions of this work are: creation of a patient profile based on the movement of the human being in a generic way for the detection and prediction of execution of physical exercises in rehabilitation. On the other hand, an avatar was developed in 3D, which copies and evidences graphically the exercises performed by patients in real time.

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Guevara C, Jadán-Guerrero J, Rybarczyk Y, Acosta-Vargas P, Esparza W, González M et al. A real-time algorithm for movement assessment using fuzzy logic of hip arthroplasty patients. In Nunes IL, editor, Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2018 International Conference on Human Factors and Systems Interaction, 2018. Springer Verlag. 2019. p. 265-273. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-94334-3_27