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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

155 related items for PubMed ID: 37766002

  • 1. Characterizing Bodyweight-Supported Treadmill Walking on Land and Underwater Using Foot-Worn Inertial Measurement Units and Machine Learning for Gait Event Detection.
    Song S, Fernandes NJ, Nordin AD.
    Sensors (Basel); 2023 Sep 17; 23(18):. PubMed ID: 37766002
    [Abstract] [Full Text] [Related]

  • 2. Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach.
    Hossain MSB, Guo Z, Choi H.
    IEEE J Biomed Health Inform; 2023 Jun 17; 27(6):2829-2840. PubMed ID: 37030855
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  • 3. Automatic Body Segment and Side Recognition of an Inertial Measurement Unit Sensor during Gait.
    Baniasad M, Martin R, Crevoisier X, Pichonnaz C, Becce F, Aminian K.
    Sensors (Basel); 2023 Mar 29; 23(7):. PubMed ID: 37050647
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  • 4. Development of an IMU-based foot-ground contact detection (FGCD) algorithm.
    Kim M, Lee D.
    Ergonomics; 2017 Mar 29; 60(3):384-403. PubMed ID: 27068742
    [Abstract] [Full Text] [Related]

  • 5. Gait Phase Detection for Lower-Limb Exoskeletons using Foot Motion Data from a Single Inertial Measurement Unit in Hemiparetic Individuals.
    Sánchez Manchola MD, Pinto Bernal MJ, Munera M, Cifuentes CA.
    Sensors (Basel); 2019 Jul 06; 19(13):. PubMed ID: 31284619
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  • 7. A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.
    Romijnders R, Warmerdam E, Hansen C, Schmidt G, Maetzler W.
    Sensors (Basel); 2022 May 19; 22(10):. PubMed ID: 35632266
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  • 8. Kinematic analysis of gait in an underwater treadmill using land-based Vicon T 40s motion capture cameras arranged externally.
    Raghu SL, Conners RT, Kang CK, Landrum DB, Whitehead PN.
    J Biomech; 2021 Jul 19; 124():110553. PubMed ID: 34161842
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  • 9. Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment.
    Donahue SR, Hahn ME.
    Sci Rep; 2023 Feb 09; 13(1):2339. PubMed ID: 36759681
    [Abstract] [Full Text] [Related]

  • 10. Validity of shoe-type inertial measurement units for Parkinson's disease patients during treadmill walking.
    Lee M, Youm C, Jeon J, Cheon SM, Park H.
    J Neuroeng Rehabil; 2018 May 15; 15(1):38. PubMed ID: 29764466
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  • 12. The Accuracy and Precision of Gait Spatio-Temporal Parameters Extracted from an Instrumented Sock during Treadmill and Overground Walking in Healthy Subjects and Patients with a Foot Impairment Secondary to Psoriatic Arthritis.
    Walha R, Lebel K, Gaudreault N, Dagenais P, Cereatti A, Della Croce U, Boissy P.
    Sensors (Basel); 2021 Sep 15; 21(18):. PubMed ID: 34577387
    [Abstract] [Full Text] [Related]

  • 13. A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings.
    Prigent G, Aminian K, Cereatti A, Salis F, Bonci T, Scott K, Mazzà C, Alcock L, Del Din S, Gazit E, Hansen C, Paraschiv-Ionescu A, Mobilise-D consortium.
    Med Biol Eng Comput; 2023 Sep 15; 61(9):2341-2352. PubMed ID: 37069465
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  • 15. Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning.
    Lim H, Kim B, Park S.
    Sensors (Basel); 2019 Dec 24; 20(1):. PubMed ID: 31878224
    [Abstract] [Full Text] [Related]

  • 16. A Novel Gait Event Detection Algorithm Using a Thigh-Worn Inertial Measurement Unit and Joint Angle Information.
    Strick JA, Farris RJ, Sawicki JT.
    J Biomech Eng; 2024 Apr 01; 146(4):. PubMed ID: 38183222
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  • 18. 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
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