BibTeX
@article{IJASEIT10814,
author = {Dagoberto Mayorca-Torres and Julio C. Caicedo-Eraso and Diego H. Peluffo-Ordóñez},
title = {Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {10},
number = {2},
year = {2020},
pages = {430--437},
keywords = {IMU; gait analysis; motion analysis; knee-joint angle; kalman filter.},
abstract = {Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the knee-joint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient’s knee-joint kinematics during a human gait.},
issn = {2088-5334},
publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10814},
doi = {10.18517/ijaseit.10.2.10814}
}
EndNote
%A Mayorca-Torres, Dagoberto
%A Caicedo-Eraso, Julio C.
%A Peluffo-Ordóñez, Diego H.
%D 2020
%T Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis
%B 2020
%9 IMU; gait analysis; motion analysis; knee-joint angle; kalman filter.
%! Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis
%K IMU; gait analysis; motion analysis; knee-joint angle; kalman filter.
%X Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the knee-joint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient’s knee-joint kinematics during a human gait.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10814
%R doi:10.18517/ijaseit.10.2.10814
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 2
%@ 2088-5334
IEEE
Dagoberto Mayorca-Torres,Julio C. Caicedo-Eraso and Diego H. Peluffo-Ordóñez,"Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 2, pp. 430-437, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.2.10814.
RefMan/ProCite (RIS)
TY - JOUR
AU - Mayorca-Torres, Dagoberto
AU - Caicedo-Eraso, Julio C.
AU - Peluffo-Ordóñez, Diego H.
PY - 2020
TI - Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 2
Y2 - 2020
SP - 430
EP - 437
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - IMU; gait analysis; motion analysis; knee-joint angle; kalman filter.
N2 - Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the knee-joint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient’s knee-joint kinematics during a human gait.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10814
DO - 10.18517/ijaseit.10.2.10814
RefWorks
RT Journal Article
ID 10814
A1 Mayorca-Torres, Dagoberto
A1 Caicedo-Eraso, Julio C.
A1 Peluffo-Ordóñez, Diego H.
T1 Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 2
YR 2020
SP 430
OP 437
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 IMU; gait analysis; motion analysis; knee-joint angle; kalman filter.
AB Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the knee-joint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient’s knee-joint kinematics during a human gait.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10814
DO - 10.18517/ijaseit.10.2.10814
