These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

313 related articles for article (PubMed ID: 34502766)

  • 1. The Use of Synthetic IMU Signals in the Training of Deep Learning Models Significantly Improves the Accuracy of Joint Kinematic Predictions.
    Sharifi Renani M; Eustace AM; Myers CA; Clary CW
    Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502766
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BioMAT: An Open-Source Biomechanics Multi-Activity Transformer for Joint Kinematic Predictions Using Wearable Sensors.
    Sharifi-Renani M; Mahoor MH; Clary CW
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447628
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Body-Worn IMU-Based Human Hip and Knee Kinematics Estimation during Treadmill Walking.
    McGrath T; Stirling L
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408159
    [TBL] [Abstract][Full Text] [Related]  

  • 4. DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living.
    Hossain MSB; Dranetz J; Choi H; Guo Z
    IEEE J Biomed Health Inform; 2022 Aug; 26(8):3906-3917. PubMed ID: 35385394
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validation of wearable inertial sensor-based gait analysis system for measurement of spatiotemporal parameters and lower extremity joint kinematics in sagittal plane.
    Patel G; Mullerpatan R; Agarwal B; Shetty T; Ojha R; Shaikh-Mohammed J; Sujatha S
    Proc Inst Mech Eng H; 2022 May; 236(5):686-696. PubMed ID: 35001713
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Concurrent validity and within-session reliability of gait kinematics measured using an inertial motion capture system with repeated calibration.
    Berner K; Cockcroft J; Morris LD; Louw Q
    J Bodyw Mov Ther; 2020 Oct; 24(4):251-260. PubMed ID: 33218520
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Framework for Analytical Validation of Inertial-Sensor-Based Knee Kinematics Using a Six-Degrees-of-Freedom Joint Simulator.
    Ortigas Vásquez A; Maas A; List R; Schütz P; Taylor WR; Grupp TM
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616945
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting Knee Joint Kinematics from Wearable Sensor Data in People with Knee Osteoarthritis and Clinical Considerations for Future Machine Learning Models.
    Tan JS; Tippaya S; Binnie T; Davey P; Napier K; Caneiro JP; Kent P; Smith A; O'Sullivan P; Campbell A
    Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062408
    [TBL] [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; 19(1):57. PubMed ID: 32709239
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach.
    Hernandez V; Dadkhah D; Babakeshizadeh V; Kulić D
    Gait Posture; 2021 Jan; 83():185-193. PubMed ID: 33161275
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimation of kinematics from inertial measurement units using a combined deep learning and optimization framework.
    Rapp E; Shin S; Thomsen W; Ferber R; Halilaj E
    J Biomech; 2021 Feb; 116():110229. PubMed ID: 33485143
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 125():110552. PubMed ID: 34237661
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of inertial measurement units as a novel method for kinematic gait evaluation in dogs.
    Duerr FM; Pauls A; Kawcak C; Haussler K; Bertocci G; Moorman V; King M
    Vet Comp Orthop Traumatol; 2016 Nov; 29(6):475-483. PubMed ID: 27761576
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effects of camera viewing angles on tracking kinematic gait patterns using Azure Kinect, Kinect v2 and Orbbec Astra Pro v2.
    Yeung LF; Yang Z; Cheng KC; Du D; Tong RK
    Gait Posture; 2021 Jun; 87():19-26. PubMed ID: 33878509
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features.
    Teufl W; Taetz B; Miezal M; Lorenz M; Pietschmann J; Jöllenbeck T; Fröhlich M; Bleser G
    Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31744141
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validity of Inertial Measurement Units to Measure Lower-Limb Kinematics and Pelvic Orientation at Submaximal and Maximal Effort Running Speeds.
    Lin YC; Price K; Carmichael DS; Maniar N; Hickey JT; Timmins RG; Heiderscheit BC; Blemker SS; Opar DA
    Sensors (Basel); 2023 Dec; 23(23):. PubMed ID: 38067972
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting Knee Joint Contact Forces During Normal Walking Using Kinematic Inputs With a Long-Short Term Neural Network.
    Bennett HJ; Estler K; Valenzuela K; Weinhandl JT
    J Biomech Eng; 2024 Aug; 146(8):. PubMed ID: 38270972
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prescribing joint co-ordinates during model preparation in OpenSim improves lower limb unplanned sidestepping kinematics.
    Donnelly CJ; Jackson C; Weir G; Alderson J; Robinson MA
    J Sci Med Sport; 2021 Feb; 24(2):159-163. PubMed ID: 32798129
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics.
    Niswander W; Wang W; Kontson K
    Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33105876
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement units.
    Mohammadi Moghadam S; Ortega Auriol P; Yeung T; Choisne J
    Front Bioeng Biotechnol; 2024; 12():1372669. PubMed ID: 38572359
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 16.