Zobrazeno 1 - 10
of 1 496
pro vyhledávání: '"gait pattern"'
Autor:
Kento Kusuda, Shigehito Matsubara, Daisuke Noguchi, Moe Kuwahara, Hiroomi Hamasaki, Toshihiro Miwa, Toru Maeda, Toshihito Nakanishi, Shogo Ninomiya, Keita Honda
Publikováno v:
Biomechanics, Vol 4, Iss 3, Pp 411-427 (2024)
The advancement in depth-sensor technology increased the potential for the clinical use of markerless three-dimensional motion analysis (3DMA); however, the accurate quantification of depth-sensor-based 3DMA on gait characteristics deviating from nor
Externí odkaz:
https://doaj.org/article/250fa682c4fb4d0c8652f10babffc315
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10721 (2024)
The purpose of this study is to develop an optimized system for predicting Knee Adduction Moment (KAM) using wearable Inertial Measurement Unit (IMU) sensors and Long Short-Term Memory (LSTM) RNN. Traditional KAM measurement methods are limited by th
Externí odkaz:
https://doaj.org/article/9412bd9aaccb4cfd8920ac22f477b605
Publikováno v:
Journal of Medical Signals and Sensors, Vol 14, Iss 10, Pp 29-29 (2024)
Background: Autism spectrum disorders are a type of developmental disorder that primarily disrupt social interactions and communications. Autism has no treatment, but early diagnosis of it is crucial to reduce these effects. The incidence of autism i
Externí odkaz:
https://doaj.org/article/e77ed8dad16e4a0cb787e59325d78c25
Publikováno v:
Journal of Medical Case Reports, Vol 17, Iss 1, Pp 1-4 (2023)
Abstract Background Tarlov’s cyst is often underdiagnosed since it is difficult to identify without imaging assistance. Herein, we report the case of a young girl who presented with an 8-year history of chronic osteomyelitis of bilateral proximal p
Externí odkaz:
https://doaj.org/article/db0b6b8a3e3f4559abd3076398c40b61
Autor:
Meir Plotnik, Evyatar Arad, Adam Grinberg, Moran Salomon, Yotam Bahat, Sharon Hassin-Baer, Gabi Zeilig
Publikováno v:
BMC Neurology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Interventions using split belt treadmills (SBTM) aim to improve gait symmetry (GA) in Parkinson's disease (PD). Comparative effects in conjugated SBTM conditions were not studied systematically despite potentially affecting interv
Externí odkaz:
https://doaj.org/article/9f15c2eea6514eefa4c8279f188ec405
Autor:
Pablo Romero-Sorozábal, Gabriel Delgado-Oleas, Annemarie F. Laudanski, Álvaro Gutiérrez, Eduardo Rocon
Publikováno v:
Biomimetics, Vol 9, Iss 6, p 352 (2024)
Enhancing human–robot interaction has been a primary focus in robotic gait assistance, with a thorough understanding of human motion being crucial for personalizing gait assistance. Traditional gait trajectory references from Clinical Gait Analysis
Externí odkaz:
https://doaj.org/article/8099ef9b29ae438cbad202eaca0ebfe7
Publikováno v:
International Journal of Optomechatronics, Vol 17, Iss 1 (2023)
AbstractAlthough conventional gait pattern control in humanoid robots is typically performed on flat terrains, the roads that people walk on every day have bumps and potholes. Therefore, to make humanoid robots more similar to humans, the movement pa
Externí odkaz:
https://doaj.org/article/44d5b51193454d12829c3ab03319731c
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2564 (2024)
Insects are good examples of ground locomotion because they can adapt their gait pattern to propel them in any direction, over uneven terrain, in a stable manner. Nevertheless, replicating such locomotion skills to a legged robot is not a straightfor
Externí odkaz:
https://doaj.org/article/972e118ed0c84eb09bcd3a14e3b1d8d0
Autor:
Carla Pais-Vieira, José Gabriel Figueiredo, André Perrotta, Demétrio Matos, Mafalda Aguiar, Júlia Ramos, Márcia Gato, Tânia Poleri, Miguel Pais-Vieira
Publikováno v:
Life, Vol 14, Iss 3, p 396 (2024)
Brain–computer interfaces (BCIs) that integrate virtual reality with tactile feedback are increasingly relevant for neurorehabilitation in spinal cord injury (SCI). In our previous case study employing a BCI-based virtual reality neurorehabilitatio
Externí odkaz:
https://doaj.org/article/c6f169573c934ac0b91b08a072d0ada6
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