van der Zwaag BJ - Search Results

1

EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait.

Bosch S, Serra Bragança F, Marin-Perianu M, Marin-Perianu R, van der Zwaag BJ, Voskamp J, Back W, van Weeren R, Havinga P. Bosch S, et al. Among authors: van der zwaag bj. Sensors (Basel). 2018 Mar 13;18(3):850. doi: 10.3390/s18030850. Sensors (Basel). 2018. PMID: 29534022 Free PMC article.

2

Sensor networks in the low lands.

Meratnia N, van der Zwaag BJ, van Dijk HW, Bijwaard DJ, Havinga PJ. Meratnia N, et al. Among authors: van der zwaag bj. Sensors (Basel). 2010;10(9):8504-25. doi: 10.3390/s100908504. Epub 2010 Sep 10. Sensors (Basel). 2010. PMID: 22163669 Free PMC article.

3

Validation of distal limb mounted inertial measurement unit sensors for stride detection in Warmblood horses at walk and trot.

Bragança FM, Bosch S, Voskamp JP, Marin-Perianu M, Van der Zwaag BJ, Vernooij JCM, van Weeren PR, Back W. Bragança FM, et al. Among authors: van der zwaag bj. Equine Vet J. 2017 Jul;49(4):545-551. doi: 10.1111/evj.12651. Epub 2016 Dec 13. Equine Vet J. 2017. PMID: 27862238 Free PMC article.

4

Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning.

Serra Bragança FM, Broomé S, Rhodin M, Björnsdóttir S, Gunnarsson V, Voskamp JP, Persson-Sjodin E, Back W, Lindgren G, Novoa-Bravo M, Gmel AI, Roepstorff C, van der Zwaag BJ, Van Weeren PR, Hernlund E. Serra Bragança FM, et al. Among authors: van der zwaag bj. Sci Rep. 2020 Oct 20;10(1):17785. doi: 10.1038/s41598-020-73215-9. Sci Rep. 2020. PMID: 33082367 Free PMC article.

5

Using Different Combinations of Body-Mounted IMU Sensors to Estimate Speed of Horses-A Machine Learning Approach.

Darbandi H, Serra Bragança F, van der Zwaag BJ, Voskamp J, Gmel AI, Haraldsdóttir EH, Havinga P. Darbandi H, et al. Among authors: van der zwaag bj. Sensors (Basel). 2021 Jan 26;21(3):798. doi: 10.3390/s21030798. Sensors (Basel). 2021. PMID: 33530288 Free PMC article.

6

Author Correction: Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning.

Serra Bragança FM, Broomé S, Rhodin M, Björnsdóttir S, Gunnarsson V, Voskamp JP, Persson-Sjodin E, Back W, Lindgren G, Novoa-Bravo M, Gmel AI, Roepstorff C, van der Zwaag BJ, Van Weeren PR, Hernlund E. Serra Bragança FM, et al. Among authors: van der zwaag bj. Sci Rep. 2021 Apr 26;11(1):9379. doi: 10.1038/s41598-021-88880-7. Sci Rep. 2021. PMID: 33903727 Free PMC article. No abstract available.

7

Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks.

Parmentier JIM, Bosch S, van der Zwaag BJ, Weishaupt MA, Gmel AI, Havinga PJM, van Weeren PR, Braganca FMS. Parmentier JIM, et al. Among authors: van der zwaag bj. Sci Rep. 2023 Jan 13;13(1):740. doi: 10.1038/s41598-023-27899-4. Sci Rep. 2023. PMID: 36639409 Free PMC article.

8

Automated attention flags in chronic disease care planning.

Warren JR, Noone JT, Smith BJ, Ruffin R, Frith P, van der Zwaag BJ, Beliakov GV, Frankel HK, McElroy HJ. Warren JR, et al. Among authors: van der zwaag bj. Med J Aust. 2001 Sep 17;175(6):308-12. doi: 10.5694/j.1326-5377.2001.tb143588.x. Med J Aust. 2001. PMID: 11665944

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