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Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
215 related items for PubMed ID: 37177436
1. Extended Application of Inertial Measurement Units in Biomechanics: From Activity Recognition to Force Estimation. Liang W, Wang F, Fan A, Zhao W, Yao W, Yang P. Sensors (Basel); 2023 Apr 24; 23(9):. PubMed ID: 37177436 [Abstract] [Full Text] [Related]
3. Estimation of lower back muscle force in a lifting task using wearable IMUs. Shakourisalim M, Martinez KB, Golabchi A, Tavakoli M, Rouhani H. J Biomech; 2024 Apr 24; 167():112077. PubMed ID: 38599020 [Abstract] [Full Text] [Related]
6. 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]
7. Influence of IMU position and orientation placement errors on ground reaction force estimation. Tan T, Chiasson DP, Hu H, Shull PB. J Biomech; 2019 Dec 03; 97():109416. PubMed ID: 31630774 [Abstract] [Full Text] [Related]
8. Infant trunk posture and arm movement assessment using pressure mattress, inertial and magnetic measurement units (IMUs). Rihar A, Mihelj M, Pašič J, Kolar J, Munih M. J Neuroeng Rehabil; 2014 Sep 06; 11():133. PubMed ID: 25194825 [Abstract] [Full Text] [Related]
9. A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling. Matijevich ES, Volgyesi P, Zelik KE. Sensors (Basel); 2021 Jan 06; 21(2):. PubMed ID: 33419101 [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 06; 83():185-193. PubMed ID: 33161275 [Abstract] [Full Text] [Related]
11. Three-Dimensional Human Posture Recognition by Extremity Angle Estimation with Minimal IMU Sensor. Shiao Y, Chen GY, Hoang T. Sensors (Basel); 2024 Jul 02; 24(13):. PubMed ID: 39001085 [Abstract] [Full Text] [Related]
15. 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 Jul 02; 12():1372669. PubMed ID: 38572359 [Abstract] [Full Text] [Related]
16. Using Wearable Sensors to Estimate Mechanical Power Output in Cyclical Sports Other than Cycling-A Review. de Vette VG, Veeger DHEJ, van Dijk MP. Sensors (Basel); 2022 Dec 21; 23(1):. PubMed ID: 36616649 [Abstract] [Full Text] [Related]
17. A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate. Jiang Y, Hernandez V, Venture G, Kulić D, K Chen B. Sensors (Basel); 2021 Feb 22; 21(4):. PubMed ID: 33671497 [Abstract] [Full Text] [Related]
19. 3D Knee and Hip Angle Estimation With Reduced Wearable IMUs via Transfer Learning During Yoga, Golf, Swimming, Badminton, and Dance. Li J, Zhu K, Li D, Kang P, Shull PB. IEEE Trans Neural Syst Rehabil Eng; 2024 Feb 22; 32():325-338. PubMed ID: 38224523 [Abstract] [Full Text] [Related]
20. Wearable Devices for Classification of Inadequate Posture at Work Using Neural Networks. Barkallah E, Freulard J, Otis MJ, Ngomo S, Ayena JC, Desrosiers C. Sensors (Basel); 2017 Sep 01; 17(9):. PubMed ID: 28862665 [Abstract] [Full Text] [Related] Page: [Next] [New Search]