Foot progression angle estimation using a single foot-worn inertial sensor

Autor: Frank J. Wouda, Stephan L. J. O. Jaspar, Jaap Harlaar, Bert-Jan F. van Beijnum, Peter H. Veltink

Publikováno v: Journal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-10 (2021)

Abstract Background The foot progression angle is an important measure used to help patients reduce their knee adduction moment. Current measurement systems are either lab-bounded or do not function in all environments (e.g., magnetically distorted).

Externí odkaz: https://doaj.org/article/be414aab729d46b38bf73e6a4375e0cd

A multidisciplinary neuro-oncological triage panel reduces the time to referral and treatment for patients with a brain tumor

Autor: Geert Kazemier, Ernest J Wouda, Merijn E de Swart, Esther Sanchez Aliaga, David P. Noske, Maaike Schuur, B. Moraal, Babette I. Kuiper, Philip C. De Witt Hamer, Tjeerd J. Postma, William P. Vandertop, Mathilde C.M. Kouwenhoven, Niels K Maliepaard, B.M. Zonderhuis, Bernard M. J. Uitdehaag, Tessa Hellingman, Cathelijne Gorter de Vries, Machteld Leembruggen-Vellinga

Publikováno v: de Swart, M E, Kouwenhoven, M C M, Hellingman, T, Kuiper, B I, Gorter de Vries, C, Leembruggen-Vellinga, M, Maliepaard, N K, Wouda, E J, Moraal, B, Noske, D P, Postma, T J, Sanchez Aliaga, E, Uitdehaag, B M J, Vandertop, W P, Zonderhuis, B M, Kazemier, G, de Witt Hamer, P C & Schuur, M 2021, ' A multidisciplinary neuro-oncological triage panel reduces the time to referral and treatment for patients with a brain tumor ', Neuro-Oncology Practice, vol. 8, no. 5, pp. 559-568 . https://doi.org/10.1093/nop/npab040
Neuro-oncology practice, 8(5), 559-568. Oxford University Press
Neuro-Oncology Practice, 8(5), 559-568. Oxford University Press
Neuro-Oncology Practice

BackgroundRegional collaboration and appropriate referral management are crucial in neuro-oncological care. Lack of electronic access to medical records across health care organizations impedes interhospital consultation and may lead to incomplete an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559f4c8af24c5c122ed8d6e16a284672
http://www.scopus.com/inward/record.url?scp=85117376035&partnerID=8YFLogxK

Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?

Autor: Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Peter H. Veltink

Publikováno v: Sensors, Vol 16, Iss 12, p 2138 (2016)

Human movement analysis has become easier with the wide availability of motion capture systems. Inertial sensing has made it possible to capture human motion without external infrastructure, therefore allowing measurements in any environment. As high

Externí odkaz: https://doaj.org/article/319a283941bb4fd89c3d4960c4676a43

Towards Motion Capture with Minimal Sensing

Autor: Frank J. Wouda

Human motion capture is important for a wide variety of applications, e.g., biomechanical analysis, virtual reality and character animation. Current human motion capture solutions require a large number of markers/sensors to be placed on the body. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6feae3f637cdfc4323477d52a6a431fa
https://doi.org/10.3990/1.9789036549233

Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning

Autor: Matteo Giuberti, Nina Rudigkeit, Peter H. Veltink, Bert-Jan van Beijnum, Mannes Poel, Frank J. Wouda

Publikováno v: Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 17, p 3716 (2019)
Sensors (Switzerland), 19:3716. MDPI
Sensors
Volume 19
Issue 17

Full-body motion capture typically requires sensors/markers to be placed on each rigid body segment, which results in long setup times and is obtrusive. The number of sensors/markers can be reduced using deep learning or offline methods. However, thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a82976ac991b117070c3bd13a25d463
https://pubmed.ncbi.nlm.nih.gov/31461958