Zobrazeno 1 - 10
of 266
pro vyhledávání: '"gait events"'
Autor:
Robbin Romijnders, Francesca Salis, Clint Hansen, Arne Küderle, Anisoara Paraschiv-Ionescu, Andrea Cereatti, Lisa Alcock, Kamiar Aminian, Clemens Becker, Stefano Bertuletti, Tecla Bonci, Philip Brown, Ellen Buckley, Alma Cantu, Anne-Elie Carsin, Marco Caruso, Brian Caulfield, Lorenzo Chiari, Ilaria D'Ascanio, Silvia Del Din, Björn Eskofier, Sara Johansson Fernstad, Marceli Stanislaw Fröhlich, Judith Garcia Aymerich, Eran Gazit, Jeffrey M. Hausdorff, Hugo Hiden, Emily Hume, Alison Keogh, Cameron Kirk, Felix Kluge, Sarah Koch, Claudia Mazzà, Dimitrios Megaritis, Encarna Micó-Amigo, Arne Müller, Luca Palmerini, Lynn Rochester, Lars Schwickert, Kirsty Scott, Basil Sharrack, David Singleton, Abolfazl Soltani, Martin Ullrich, Beatrix Vereijken, Ioannis Vogiatzis, Alison Yarnall, Gerhard Schmidt, Walter Maetzler
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
IntroductionThe clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis is shifting to unsupervised monitoring in n
Externí odkaz:
https://doaj.org/article/585bc85ed4db487aadf57ac2531369d7
Publikováno v:
Sensors, Vol 22, Iss 10, p 3859 (2022)
Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement unit (IMU) sensors to detect gait events (i.e., initial and final foot contact). However, these algorithms often require knowledge about sensor orientation and use e
Externí odkaz:
https://doaj.org/article/66a49c3cc1044fd2ba144944688b57c1
Autor:
Seth R. Donahue, Michael E. Hahn
Publikováno v:
Sensors, Vol 22, Iss 9, p 3452 (2022)
The development of lightweight portable sensors and algorithms for the identification of gait events at steady-state running speeds can be translated into the real-world environment. However, the output of these algorithms needs to be validated. The
Externí odkaz:
https://doaj.org/article/d4fc9b1c3b7640f29fbdd2499ce23135
Autor:
Chloé Hatrisse, Claire Macaire, Marie Sapone, Camille Hebert, Sandrine Hanne-Poujade, Emeline De Azevedo, Frederic Marin, Pauline Martin, Henry Chateau
Publikováno v:
Sensors, Vol 22, Iss 3, p 703 (2022)
The development of on-board technologies has enabled the development of quantification systems to monitor equine locomotion parameters. Their relevance among others relies on their ability to determine specific locomotor events such as foot-on and he
Externí odkaz:
https://doaj.org/article/f9bd9c57e2b54958b15db280b1041fa0
Publikováno v:
Sensors, Vol 21, Iss 22, p 7473 (2021)
People walk on different types of terrain daily; for instance, level-ground walking, ramp and stair ascent and descent, and stepping over obstacles are common activities in daily life. Movement patterns change as people move from one terrain to anoth
Externí odkaz:
https://doaj.org/article/7d35c8acd13d43da8a93504bd5d9e469
Publikováno v:
Sensors, Vol 21, Iss 16, p 5632 (2021)
Gait analysis has many applications, and specifically can improve the control of prosthesis, exoskeletons, or Functional Electrical Stimulation systems. The use of canes is common to complement the assistance in these cases, and the synergy between u
Externí odkaz:
https://doaj.org/article/be444d8f9f52439c916c768e32627201
Akademický článek
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Autor:
Benish Fida, Daniele Bibbo, Ivan Bernabucci, Antonino Proto, Silvia Conforto, Maurizio Schmid
Publikováno v:
EAI Endorsed Transactions on Mobile Communications and Applications, Vol 2, Iss 9, Pp 1-4 (2016)
We propose an event-based dynamic segmentation technique for the classification of locomotion activities, able to detect the mid-swing, initial contact and end contact events. This technique is based on the use of a shank-mounted inertial sensor inco
Externí odkaz:
https://doaj.org/article/fcf849b95e9341f9847a68374cf0612c
Publikováno v:
Sensors, Vol 20, Iss 21, p 6331 (2020)
Backward walking (BW) is being increasingly used in neurologic and orthopedic rehabilitation as well as in sports to promote balance control as it provides a unique challenge to the sensorimotor control system. The identification of initial foot cont
Externí odkaz:
https://doaj.org/article/cb568c36cdb3412da837b8c27f16ae5f
Publikováno v:
Sensors, Vol 20, Iss 12, p 3338 (2020)
Gait analysis based on full-body motion capture technology (MoCap) can be used in rehabilitation to aid in decision making during treatments or therapies. In order to promote the use of MoCap gait analysis based on inertial measurement units (IMUs) o
Externí odkaz:
https://doaj.org/article/9c7a1656dced4cf18fcb69bc945e8c9c