Zobrazeno 1 - 10
of 1 626
pro vyhledávání: '"An, Su Kyoung"'
Background: For an individualized support of patients during rehabilitation, learning of individual machine learning models from the human electroencephalogram (EEG) is required. Our approach allows labeled training data to be recorded without the ne
Externí odkaz:
http://arxiv.org/abs/2402.17790
Autor:
Kueper, Niklas, Chari, Kartik, Bütefür, Judith, Habenicht, Julia, Kim, Su Kyoung, Rossol, Tobias, Tabie, Marc, Kirchner, Frank, Kirchner, Elsa Andrea
Publikováno v:
Front. Hum. Neurosci. 18 (2024)
This paper presents a dataset containing recordings of the electroencephalogram (EEG) and the electromyogram (EMG) from eight subjects who were assisted in moving their right arm by an active orthosis device. The supported movements were elbow joint
Externí odkaz:
http://arxiv.org/abs/2305.11996
Autor:
Su Kyoung Lee, Yong Jin Kwon
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objective To examine the association between patterns of alcohol consumption in the past and the risk of depression among medical aid beneficiaries and National Health Insurance beneficiaries in Korea. Methods We used data from the National
Externí odkaz:
https://doaj.org/article/cbb729522fc44fe786638a0ed56d4cba
Autor:
Young Hyun Yun, Hyeok Yi Kwon, Su Kyoung Jeon, Yu Mi Jon, Min Jung Park, Dong Hoon Shin, Hyung Jin Choi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In recent years, human anatomy education has faced challenges with traditional donor dissection, leading to the emergence of virtual dissection as an alternative. This study aims to investigate the academic performance and satisfaction of me
Externí odkaz:
https://doaj.org/article/1d3710d8289b4003905491fc9a20a725
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Exoskeleton-based support for patients requires the learning of individual machine-learning models to recognize movement intentions of patients based on the electroencephalogram (EEG). A major issue in EEG-based movement intention recognitio
Externí odkaz:
https://doaj.org/article/0d84d3f840564c27804e26fd4a70c112
Publikováno v:
Journal of Neural Engineering 14 2 (2017) 025003
Objective: Classifier transfers usually come with dataset shifts. To overcome them, online strategies have to be applied. For practical applications, limitations in the computational resources for the adaptation of batch learning algorithms, like the
Externí odkaz:
http://arxiv.org/abs/2208.05112
Publikováno v:
Int. Conf. Human-Computer Interaction (2023) 92-101
Human-in-the-loop approaches are of great importance for robot applications. In the presented study, we implemented a multimodal human-robot interaction (HRI) scenario, in which a simulated robot communicates with its human partner through speech and
Externí odkaz:
http://arxiv.org/abs/2207.12267
Publikováno v:
Fisheries and Aquatic Sciences, Vol 26, Iss 11, Pp 649-659 (2023)
The present study compared the structure of mixilliped of Fenneropenaeus chinensis between the larval and adult stage and investigated the effect of the structural difference on the immunity of F. chinensis. A fourteen day and a one-month long cultur
Externí odkaz:
https://doaj.org/article/de942857b5774ac7a3eed79bb8373882
Autor:
Seong, Su Kyoung, Koh, Hyun-Jung, Kim, Hyun Jeong, Yi, Yoojung, Choi, Chan Woong, Shin, In Soo, Choi, Youngju, Kim, Young Hoon
Publikováno v:
In Biologicals February 2025 89
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Transitional care is an integrated service to ensure coordination and continuity of patients’ healthcare. Many models are being developed and implemented for this care. This study aims to identify the facilitators and obstacles
Externí odkaz:
https://doaj.org/article/2ca404a1c385499281023437955d0cc6