Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Seoyoon Heo"'
Publikováno v:
Digital Health, Vol 10 (2024)
Background ChatGPT is an artificial intelligence-based large language model (LLM). ChatGPT has been widely applied in medicine, but its application in occupational therapy has been lacking. Objective This study examined the accuracy of ChatGPT on the
Externí odkaz:
https://doaj.org/article/8d26698609dd4b90b569a70229489668
Publikováno v:
Bioengineering, Vol 10, Iss 8, p 891 (2023)
The increasing prevalence of machine learning (ML) and automated machine learning (AutoML) applications across diverse industries necessitates rigorous comparative evaluations of their predictive accuracies under various computational environments. T
Externí odkaz:
https://doaj.org/article/6a90a72c2d7e47b58d11777465ce426f
Autor:
Seoyoon Heo, Wansuk Choi
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2743 (2021)
While the physical conditions of stroke patients are diverse, the joystick-type steering controller of the electric-powered wheelchair (EPW) is almost the same, making the user uncomfortable and not fully utilizing the function of the wheelchair. The
Externí odkaz:
https://doaj.org/article/228b95c89f464b26a66e6e333fb54b77
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 10:122-127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b3e08010f1babad18b6fb6fae0de06c
https://doi.org/10.5573/ieiespc.2021.10.2.122
https://doi.org/10.5573/ieiespc.2021.10.2.122
Publikováno v:
Journal of International Academy of Physical Therapy Research. 11:2021-2027
Background: Previous robot-mediated gait training has been proven several limitations such as pointless repeated motion training, decreased presence, etc. In this research, adult stroke patients were participated in robot-mediated gait training accom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a91cea71fc0339271bc83eda84baf13
https://doi.org/10.20540/jiaptr.2020.11.2.2021
https://doi.org/10.20540/jiaptr.2020.11.2.2021
Immediate Effect of Spinal Mobilization on Lower Limb Strength in Healthy Individuals: A Pilot Study
Publikováno v:
Journal of International Academy of Physical Therapy Research. 11:2090-2095
Background: Spinal Mobilization is one of the manual therapy technique that clinicians have used to treat pain, however, there is still a lack of research on changes in strength in healthy people. Objectives: To investigate the effect of posterior-an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6359a46c87623bc601400b4c32807ff
https://doi.org/10.20540/jiaptr.2020.11.2.2090
https://doi.org/10.20540/jiaptr.2020.11.2.2090
Publikováno v:
Journal of International Academy of Physical Therapy Research. 11:2096-2101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf73e589ebd2fab37e4fffc6fe53f581
https://doi.org/10.20540/jiaptr.2020.11.2.2096
https://doi.org/10.20540/jiaptr.2020.11.2.2096
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::655f689886290012d7978ee4df880fa0
https://doi.org/10.2139/ssrn.4109965
https://doi.org/10.2139/ssrn.4109965
Publikováno v:
International Journal of Environmental Research and Public Health. 20:3502
Background: The concept of virtual reality (VR)-based rehabilitation therapy for treating people with low back pain is of growing research interest. However, the effectiveness of such therapy for pain reduction in clinical settings remains controvers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::384e4badb04fdfc0a99f5cda30c271fb
https://doi.org/10.3390/ijerph20043502
https://doi.org/10.3390/ijerph20043502
Autor:
Wan-Suk Choi, Seoyoon Heo
Publikováno v:
Healthcare
Volume 9
Issue 11
Healthcare, Vol 9, Iss 1579, p 1579 (2021)
Volume 9
Issue 11
Healthcare, Vol 9, Iss 1579, p 1579 (2021)
The purpose of this study was to classify ULTT videos through transfer learning with pre-trained deep learning models and compare the performance of the models. We conducted transfer learning by combining a pre-trained convolution neural network (CNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c6f8c3822ca9ec098519669bae5dbde