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Validation of IMU against optical reference and development of open-source pipeline: proof of concept case report in a participant with transfemoral amputation fitted with a Percutaneous Osseointegrated Implant

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Názov: Validation of IMU against optical reference and development of open-source pipeline: proof of concept case report in a participant with transfemoral amputation fitted with a Percutaneous Osseointegrated Implant
Autori: Ahmed, Kirstin, 1974, Taheri, Shayan, Weygers, Ive, Ortiz Catalan, Max Jair, 1982
Zdroj: Journal of NeuroEngineering and Rehabilitation. 21(1)
Predmety: Orientation estimation algorithm, Osseointegration, Prosthetic gait, Transfemoral amputation gait, Gait analysis, IMU motion capture, Joint kinematics, Inertial measurement unit, Motion analysis, Motion capture validation
Popis: Background : Systems that capture motion under laboratory conditions limit validity in real-world environments. Mobile motion capture solutions such as Inertial Measurement Units (IMUs) can progress our understanding of "real" human movement. IMU data must be validated in each application to interpret with clinical applicability; this is particularly true for diverse populations. Our IMU analysis method builds on the OpenSim IMU Inverse Kinematics toolkit integrating the Versatile Quaternion-based Filter and incorporates realistic constraints to the underlying biomechanical model. We validate our processing method against the reference standard optical motion capture in a case report with participants with transfemoral amputation fitted with a Percutaneous Osseointegrated Implant (POI) and without amputation walking over level ground. We hypothesis that by using this novel pipeline, we can validate IMU motion capture data, to a clinically acceptable degree. Results : Average RMSE (across all joints) between the two systems from the participant with a unilateral transfemoral amputation (TFA) on the amputated and the intact sides were 2.35° (IQR = 1.45°) and 3.59° (IQR = 2.00°) respectively. Equivalent results in the non-amputated participant were 2.26° (IQR = 1.08°). Joint level average RMSE between the two systems from the TFA ranged from 1.66° to 3.82° and from 1.21° to 5.46° in the non-amputated participant. In plane average RMSE between the two systems from the TFA ranged from 2.17° (coronal) to 3.91° (sagittal) and from 1.96° (transverse) to 2.32° (sagittal) in the non-amputated participant. Coefficients of Multiple Correlation (CMC) results between the two systems in the TFA ranged from 0.74 to > 0.99 and from 0.72 to > 0.99 in the non-amputated participant and resulted in ‘excellent’ similarity in each data set average, in every plane and at all joint levels. Normalized RMSE between the two systems from the TFA ranged from 3.40% (knee level) to 54.54% (pelvis level) and from 2.18% to 36.01% in the non-amputated participant. Conclusions : We offer a modular processing pipeline that enables the addition of extra layers, facilitates changes to the underlying biomechanical model, and can accept raw IMU data from any vendor. We successfully validate the pipeline using data, for the first time, from a TFA participant using a POI and have proved our hypothesis.
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Prístupová URL adresa: https://research.chalmers.se/publication/539796
https://research.chalmers.se/publication/542306
https://research.chalmers.se/publication/542306/file/542306_Fulltext.pdf
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  Data: Validation of IMU against optical reference and development of open-source pipeline: proof of concept case report in a participant with transfemoral amputation fitted with a Percutaneous Osseointegrated Implant
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Ahmed%2C+Kirstin%22">Ahmed, Kirstin</searchLink>, 1974<br /><searchLink fieldCode="AR" term="%22Taheri%2C+Shayan%22">Taheri, Shayan</searchLink><br /><searchLink fieldCode="AR" term="%22Weygers%2C+Ive%22">Weygers, Ive</searchLink><br /><searchLink fieldCode="AR" term="%22Ortiz+Catalan%2C+Max+Jair%22">Ortiz Catalan, Max Jair</searchLink>, 1982
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  Data: <i>Journal of NeuroEngineering and Rehabilitation</i>. 21(1)
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  Data: <searchLink fieldCode="DE" term="%22Orientation+estimation+algorithm%22">Orientation estimation algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Osseointegration%22">Osseointegration</searchLink><br /><searchLink fieldCode="DE" term="%22Prosthetic+gait%22">Prosthetic gait</searchLink><br /><searchLink fieldCode="DE" term="%22Transfemoral+amputation+gait%22">Transfemoral amputation gait</searchLink><br /><searchLink fieldCode="DE" term="%22Gait+analysis%22">Gait analysis</searchLink><br /><searchLink fieldCode="DE" term="%22IMU+motion+capture%22">IMU motion capture</searchLink><br /><searchLink fieldCode="DE" term="%22Joint+kinematics%22">Joint kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22Inertial+measurement+unit%22">Inertial measurement unit</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+analysis%22">Motion analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+capture+validation%22">Motion capture validation</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Background : Systems that capture motion under laboratory conditions limit validity in real-world environments. Mobile motion capture solutions such as Inertial Measurement Units (IMUs) can progress our understanding of "real" human movement. IMU data must be validated in each application to interpret with clinical applicability; this is particularly true for diverse populations. Our IMU analysis method builds on the OpenSim IMU Inverse Kinematics toolkit integrating the Versatile Quaternion-based Filter and incorporates realistic constraints to the underlying biomechanical model. We validate our processing method against the reference standard optical motion capture in a case report with participants with transfemoral amputation fitted with a Percutaneous Osseointegrated Implant (POI) and without amputation walking over level ground. We hypothesis that by using this novel pipeline, we can validate IMU motion capture data, to a clinically acceptable degree. Results : Average RMSE (across all joints) between the two systems from the participant with a unilateral transfemoral amputation (TFA) on the amputated and the intact sides were 2.35° (IQR = 1.45°) and 3.59° (IQR = 2.00°) respectively. Equivalent results in the non-amputated participant were 2.26° (IQR = 1.08°). Joint level average RMSE between the two systems from the TFA ranged from 1.66° to 3.82° and from 1.21° to 5.46° in the non-amputated participant. In plane average RMSE between the two systems from the TFA ranged from 2.17° (coronal) to 3.91° (sagittal) and from 1.96° (transverse) to 2.32° (sagittal) in the non-amputated participant. Coefficients of Multiple Correlation (CMC) results between the two systems in the TFA ranged from 0.74 to > 0.99 and from 0.72 to > 0.99 in the non-amputated participant and resulted in ‘excellent’ similarity in each data set average, in every plane and at all joint levels. Normalized RMSE between the two systems from the TFA ranged from 3.40% (knee level) to 54.54% (pelvis level) and from 2.18% to 36.01% in the non-amputated participant. Conclusions : We offer a modular processing pipeline that enables the addition of extra layers, facilitates changes to the underlying biomechanical model, and can accept raw IMU data from any vendor. We successfully validate the pipeline using data, for the first time, from a TFA participant using a POI and have proved our hypothesis.
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      – Type: doi
        Value: 10.1186/s12984-024-01426-6
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Orientation estimation algorithm
        Type: general
      – SubjectFull: Osseointegration
        Type: general
      – SubjectFull: Prosthetic gait
        Type: general
      – SubjectFull: Transfemoral amputation gait
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      – SubjectFull: Gait analysis
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      – SubjectFull: IMU motion capture
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      – SubjectFull: Motion capture validation
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      – TitleFull: Validation of IMU against optical reference and development of open-source pipeline: proof of concept case report in a participant with transfemoral amputation fitted with a Percutaneous Osseointegrated Implant
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            NameFull: Ahmed, Kirstin
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