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Journal Abstract Search

224 related items for PubMed ID: 36271241

  • 1. Verification of gait analysis method fusing camera-based pose estimation and an IMU sensor in various gait conditions.
    Yamamoto M, Shimatani K, Ishige Y, Takemura H.
    Sci Rep; 2022 Oct 21; 12(1):17719. PubMed ID: 36271241
    [Abstract] [Full Text] [Related]

  • 2. Accuracy of Temporo-Spatial and Lower Limb Joint Kinematics Parameters Using OpenPose for Various Gait Patterns With Orthosis.
    Yamamoto M, Shimatani K, Hasegawa M, Kurita Y, Ishige Y, Takemura H.
    IEEE Trans Neural Syst Rehabil Eng; 2021 Oct 21; 29():2666-2675. PubMed ID: 34914592
    [Abstract] [Full Text] [Related]

  • 3. Verification of validity of gait analysis systems during treadmill walking and running using human pose tracking algorithm.
    Ota M, Tateuchi H, Hashiguchi T, Ichihashi N.
    Gait Posture; 2021 Mar 21; 85():290-297. PubMed ID: 33636458
    [Abstract] [Full Text] [Related]

  • 4. Real-time conversion of inertial measurement unit data to ankle joint angles using deep neural networks.
    Senanayake D, Halgamuge S, Ackland DC.
    J Biomech; 2021 Aug 26; 125():110552. PubMed ID: 34237661
    [Abstract] [Full Text] [Related]

  • 5. Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture.
    Takeda I, Yamada A, Onodera H.
    Comput Methods Biomech Biomed Engin; 2021 Jun 26; 24(8):864-873. PubMed ID: 33290107
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  • 8. Development of an IMU based 2-segment foot model for an applicable medical gait analysis.
    Bauer L, Hamberger MA, Böcker W, Polzer H, Baumbach SF.
    BMC Musculoskelet Disord; 2024 Jul 31; 25(1):606. PubMed ID: 39085824
    [Abstract] [Full Text] [Related]

  • 9. Kinematics and temporospatial parameters during gait from inertial motion capture in adults with and without HIV: a validity and reliability study.
    Berner K, Cockcroft J, Louw Q.
    Biomed Eng Online; 2020 Jul 24; 19(1):57. PubMed ID: 32709239
    [Abstract] [Full Text] [Related]

  • 10. Integrating an LSTM framework for predicting ankle joint biomechanics during gait using inertial sensors.
    Xiang L, Gu Y, Gao Z, Yu P, Shim V, Wang A, Fernandez J.
    Comput Biol Med; 2024 Mar 24; 170():108016. PubMed ID: 38277923
    [Abstract] [Full Text] [Related]

  • 11. On the reliability of single-camera markerless systems for overground gait monitoring.
    Boldo M, Di Marco R, Martini E, Nardon M, Bertucco M, Bombieri N.
    Comput Biol Med; 2024 Mar 24; 171():108101. PubMed ID: 38340440
    [Abstract] [Full Text] [Related]

  • 12. Validity of Measurement for Trailing Limb Angle and Propulsion Force during Gait Using a Magnetic Inertial Measurement Unit.
    Miyazaki T, Kawada M, Nakai Y, Kiyama R, Yone K.
    Biomed Res Int; 2019 Mar 24; 2019():8123467. PubMed ID: 31930138
    [Abstract] [Full Text] [Related]

  • 13. Comparing the accuracy of open-source pose estimation methods for measuring gait kinematics.
    Washabaugh EP, Shanmugam TA, Ranganathan R, Krishnan C.
    Gait Posture; 2022 Sep 24; 97():188-195. PubMed ID: 35988434
    [Abstract] [Full Text] [Related]

  • 14. Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits.
    Potter MV, Cain SM, Ojeda LV, Gurchiek RD, McGinnis RS, Perkins NC.
    Sensors (Basel); 2022 Nov 01; 22(21):. PubMed ID: 36366096
    [Abstract] [Full Text] [Related]

  • 15. Measurement of multi-segment foot joint angles during gait using a wearable system.
    Rouhani H, Favre J, Crevoisier X, Aminian K.
    J Biomech Eng; 2012 Jun 01; 134(6):061006. PubMed ID: 22757503
    [Abstract] [Full Text] [Related]

  • 16. Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait.
    Bailey CA, Uchida TK, Nantel J, Graham RB.
    Sensors (Basel); 2021 Nov 19; 21(22):. PubMed ID: 34833766
    [Abstract] [Full Text] [Related]

  • 17. Concurrent assessment of gait kinematics using marker-based and markerless motion capture.
    Kanko RM, Laende EK, Davis EM, Selbie WS, Deluzio KJ.
    J Biomech; 2021 Oct 11; 127():110665. PubMed ID: 34380101
    [Abstract] [Full Text] [Related]

  • 18. Estimation of Ankle Joint Power during Walking Using Two Inertial Sensors.
    Jiang X, Gholami M, Khoshnam M, Eng JJ, Menon C.
    Sensors (Basel); 2019 Jun 21; 19(12):. PubMed ID: 31234451
    [Abstract] [Full Text] [Related]

  • 19. Using Inertial Measurement Unit Sensor Single Axis Rotation Angles for Knee and Hip Flexion Angle Calculations During Gait.
    Oliveira N, Park J, Barrance P.
    IEEE J Transl Eng Health Med; 2023 Jun 21; 11():80-86. PubMed ID: 36704243
    [Abstract] [Full Text] [Related]

  • 20. Pose2Sim: An End-to-End Workflow for 3D Markerless Sports Kinematics-Part 2: Accuracy.
    Pagnon D, Domalain M, Reveret L.
    Sensors (Basel); 2022 Apr 01; 22(7):. PubMed ID: 35408326
    [Abstract] [Full Text] [Related]

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