Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Cheolsoo Park"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3647-3656 (2024)
Motor imagery refers to the brain’s response during the mental simulation of physical activities, which can be detected through electroencephalogram (EEG) signals. However, EEG signals exhibit a low signal-to-noise ratio (SNR) due to various artifa
Externí odkaz:
https://doaj.org/article/29fd7dd3e1b94746b69c9c22c93938d0
Autor:
Geunbo Yang, Youngshin Kang, Peter H. Charlton, Panayiotis A. Kyriacou, Ko Keun Kim, Ling Li, Cheolsoo Park
Publikováno v:
Sensors, Vol 24, Iss 12, p 3980 (2024)
Respiratory rate (RR) is a vital indicator for assessing the bodily functions and health status of patients. RR is a prominent parameter in the field of biomedical signal processing and is strongly associated with other vital signs such as blood pres
Externí odkaz:
https://doaj.org/article/bd822939497b4b9089118820a71677bf
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 17, Iss 1 (2023)
ABSTRACTDespite decades of rigorous research into supercavitating flow, there is still a lack of in-depth knowledge on the properties of ventilated supercavitation with cavitators of varying angle of attack. To address this gap, this study aimed to i
Externí odkaz:
https://doaj.org/article/a6d3d27f85384d8aa341a882fb8ca4e0
Publikováno v:
IEEE Access, Vol 10, Pp 120191-120199 (2022)
The ever-growing field of wireless communication requires efficient radio frequency transceivers with tunable absorptive bandstop filters that can prevent the interference of out-of-band and reflected signals. This paper presents 4-pole tunable absor
Externí odkaz:
https://doaj.org/article/5ae7394020bf4c65b086b7703a88a4b1
Autor:
Jaewoo Baek, Choongseop Lee, Hyunsoo Yu, Suwhan Baek, Seokmin Lee, Seungmin Lee, Cheolsoo Park
Publikováno v:
IEEE Access, Vol 10, Pp 36895-36906 (2022)
Sleep experts manually label sleep stages via polysomnography (PSG) to diagnose sleep disorders. However, this process is time-consuming, requires a lot of labor from sleep experts, and makes the participants uncomfortable with the attachment of mult
Externí odkaz:
https://doaj.org/article/d652382c33204421bc61acbbc9e0981b
Autor:
Geunbo Yang, Wongyu Lee, Youjung Seo, Choongseop Lee, Woojoon Seok, Jongkil Park, Donggyu Sim, Cheolsoo Park
Publikováno v:
Sensors, Vol 23, Iss 16, p 7232 (2023)
A spiking neural network (SNN) is a type of artificial neural network that operates based on discrete spikes to process timing information, similar to the manner in which the human brain processes real-world problems. In this paper, we propose a new
Externí odkaz:
https://doaj.org/article/23569c085d8d4fcfb1c5b171d967e115
Publikováno v:
IEEE Access, Vol 9, Pp 16967-16974 (2021)
Cognitive radios require tunable band-switchable bandpass filters to respond to the dynamically changing operating frequencies in cognitive systems. This study presents a novel switchable dual-/single-band tunable bandpass filter using a single switc
Externí odkaz:
https://doaj.org/article/63a8e6711b434fbb8b5147c48eb46a8d
Publikováno v:
IEEE Access, Vol 9, Pp 117040-117051 (2021)
An efficient channel assignment plays an important role in mitigating co-channel interference in ultra-dense wireless networks. A simple solution is to separate interfering network nodes into orthogonal channels to reduce the interference among them.
Externí odkaz:
https://doaj.org/article/29a6266688af4498b267833efb3ae332
Publikováno v:
IEEE Access, Vol 8, Pp 10543-10553 (2020)
Automatic nailfold capillary segmentation is a challenging task owing to noise and large variabilities in images caused by insufficient focusing and low visibility of the capillaries. This task can be useful to detect and estimate the severity of aut
Externí odkaz:
https://doaj.org/article/713e400ca29244419e52fe5d286dc643
Publikováno v:
Sensors, Vol 23, Iss 3, p 1230 (2023)
In this study, the optimal features of electrocardiogram (ECG) signals were investigated for the implementation of a personal authentication system using a reinforcement learning (RL) algorithm. ECG signals were recorded from 11 subjects for 6 days.
Externí odkaz:
https://doaj.org/article/8dd64a829388406b8bb7cf421baf3fc1