Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sang Kyong Kim"'
Autor:
Heenam Yoon, Sang Ho Choi, Sang Kyong Kim, Hyun Bin Kwon, Seong Min Oh, Jae-Won Choi, Yu Jin Lee, Do-Un Jeong, Kwang Suk Park
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
Human physiological systems have a major role in maintenance of internal stability. Previous studies have found that these systems are regulated by various types of interactions associated with physiological homeostasis. However, whether there is any
Externí odkaz:
https://doaj.org/article/e1ff30ea5bfb4fa994ff9a3617f77978
Autor:
Hong Ji Lee, Sang Kyong Kim, Hyeyoung Park, Han Byul Kim, Hyo Seon Jeon, Yu Jin Jung, Eungseok Oh, Hee Jin Kim, Ji Young Yun, Beom S Jeon, Kwang Suk Park
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0131703 (2015)
The standard assessment method for tremor severity in Parkinson's disease is visual observation by neurologists using clinical rating scales. This is, therefore, a subjective rating that is dependent on clinical expertise. The objective of this study
Externí odkaz:
https://doaj.org/article/c98535863f4249bd8c9a28daa5d95539
Autor:
Hyoseon Jeon, Woongwoo Lee, Hyeyoung Park, Hong Ji Lee, Sang Kyong Kim, Han Byul Kim, Beomseok Jeon, Kwang Suk Park
Publikováno v:
Sensors, Vol 18, Iss 1, p 33 (2017)
n/a
Externí odkaz:
https://doaj.org/article/14ad3e44f76a40e5a696116cce02eff6
Autor:
Hyoseon Jeon, Woongwoo Lee, Hyeyoung Park, Hong Ji Lee, Sang Kyong Kim, Han Byul Kim, Beomseok Jeon, Kwang Suk Park
Publikováno v:
Sensors, Vol 17, Iss 9, p 2067 (2017)
Although there is clinical demand for new technology that can accurately measure Parkinsonian tremors, automatic scoring of Parkinsonian tremors using machine-learning approaches has not yet been employed. This study aims to fill this gap by proposin
Externí odkaz:
https://doaj.org/article/15fb5f6f42504aab8effeea65c555f79
Autor:
Won-Jin Yi, Beomseok Jeon, Hong Ji Lee, Han Byul Kim, Hye Young Park, Woong-Woo Lee, Hyo Seon Jeon, Sang Kyong Kim, Chae Won Shin, K.S. Park
Publikováno v:
Telemedicine and e-Health. 24:899-907
Freezing of gait (FOG) is a commonly observed motor symptom for patients with Parkinson's disease (PD). The symptoms of FOG include reduced step lengths or motor blocks, even with an evident intention of walking. FOG should be monitored carefully bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76c84c29868e2ab71f0636206620e156
https://doi.org/10.1089/tmj.2017.0215
https://doi.org/10.1089/tmj.2017.0215
Autor:
Woong-Woo Lee, Hyeyoung Park, Sang Kyong Kim, Hyo Seon Jeon, Kwang Suk Park, Han Byul Kim, Hong Ji Lee, Beom S. Jeon
Publikováno v:
Journal of the Neurological Sciences. 362:272-277
Tremor characteristics-amplitude and frequency components-are primary quantitative clinical factors for diagnosis and monitoring of tremors. Few studies have investigated how different patient's conditions affect tremor frequency characteristics in P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e213c30a0ea002b829e69075bf248947
https://doi.org/10.1016/j.jns.2016.01.058
https://doi.org/10.1016/j.jns.2016.01.058
Autor:
Jae-Won Choi, Sang Kyong Kim, Kwang Suk Park, Sang Ho Choi, Su Hwan Hwang, Heenam Yoon, Sung Min Oh, Hyun Bin Kwon, Do-Un Jeong, Yu Jin Lee
Publikováno v:
IEEE transactions on bio-medical engineering. 65(12)
Objective: Cardiorespiratory interactions have been widely investigated in different physiological states and conditions. Various types of coupling characteristics have been observed in the cardiorespiratory system; however, it is difficult to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147cfbb5b65f8d6148656c6bb9b47637
https://pubmed.ncbi.nlm.nih.gov/29993405
https://pubmed.ncbi.nlm.nih.gov/29993405
Autor:
Hyeyoung Park, Woong-Woo Lee, Hanbyul Kim, Hong Ji Lee, Hyo Seon Jeon, Beom S. Jeon, Kwang Suk Park, Sang Kyong Kim
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 1, p 33 (2017)
Sensors, Vol 18, Iss 1, p 33 (2017)
Although there is clinical demand for new technology that can accurately measure Parkinsonian tremors, automatic scoring of Parkinsonian tremors using machine-learning approaches has not yet been employed. This study aims to fill this gap by proposin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327f15c1a7eb1780019a439283d7233c
https://pubmed.ncbi.nlm.nih.gov/28891942
https://pubmed.ncbi.nlm.nih.gov/28891942
Autor:
Sang Kyong Kim, Woong-Woo Lee, Kwang Suk Park, Hye Young Park, Hong Ji Lee, Han Byul Kim, Hyo Seon Jeon, Aryun Kim, Beomseok Jeon
Publikováno v:
Computers in biology and medicine. 95
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and accurate measurement of tremor severity is essential in prescribing appropriate treatment to relieve its symptoms. We propose a tremor assessment system based on the u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7e675a8285e4364868e65dc38070335
https://pubmed.ncbi.nlm.nih.gov/29500984
https://pubmed.ncbi.nlm.nih.gov/29500984
High-accuracy automatic classification of Parkinsonian tremor severity using machine learning method
Autor:
Hyeyoung Park, Hong Ji Lee, Sang Kyong Kim, Beomseok Jeon, Hyoseon Jeon, Kwang Suk Park, Han Byul Kim, Woong-Woo Lee
Publikováno v:
Physiological measurement. 38(11)
Motivation: Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremor severity using machine learning approaches has not yet been employed. Objective: This study aims t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce5a5ff61f392b54feadd4734c8184ad
https://pubmed.ncbi.nlm.nih.gov/28933707
https://pubmed.ncbi.nlm.nih.gov/28933707