Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Taehwa Han"'
Publikováno v:
Medicina, Vol 60, Iss 4, p 632 (2024)
Background: Insomnia is increasingly recognized for its marked impact on public health and is often associated with various adverse health outcomes, including cardiovascular diseases and mental health disorders. The aim of this study was to investiga
Externí odkaz:
https://doaj.org/article/a3117a1159084089bca9a59261075588
Publikováno v:
Medicina, Vol 59, Iss 6, p 1066 (2023)
Background and Objectives: Light therapy (LT) is used as an adjunctive treatment for sleep problems. This study evaluates the impact of LT on sleep quality and sleep-related parameters in patients with sleep disorders. Materials and Methods: We perfo
Externí odkaz:
https://doaj.org/article/a31ce8eb1bd044eba8c82023b5634984
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12042 (2022)
IoT technology is used in various industries, including the manufacturing, energy, finance, education, transportation, smart home, and medical fields. In the medical field, IoT applications can provide high-quality medical services through the effici
Externí odkaz:
https://doaj.org/article/db8d85e05f2a401b854c651f9e5dabfc
Publikováno v:
Journal of Personalized Medicine, Vol 12, Iss 1, p 20 (2022)
Assessing the symptoms of proximal weakness caused by neurological deficits requires the knowledge and experience of neurologists. Recent advances in machine learning and the Internet of Things have resulted in the development of automated systems th
Externí odkaz:
https://doaj.org/article/58195b363cdc4d2e9a116a7556928c55
Publikováno v:
Medicina; Volume 59; Issue 6; Pages: 1066
Background and Objectives: Light therapy (LT) is used as an adjunctive treatment for sleep problems. This study evaluates the impact of LT on sleep quality and sleep-related parameters in patients with sleep disorders. Materials and Methods: We perfo
Publikováno v:
Health Insurance Review & Assessment Service Research. 2:47-56
BACKGROUND Assessing the symptoms of proximal weakness caused by neurological deficits requires expert knowledge and experienced neurologists. Recent advances in artificial intelligence and the Internet of Things have resulted in the development of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5036eea95116e32aaa82c0fcd07f425b
https://doi.org/10.2196/preprints.29698
https://doi.org/10.2196/preprints.29698
BACKGROUND Subtle abnormal motor signs are indications of serious neurological diseases. Although neurological deficits require fast initiation of treatment in a restricted time, it is difficult for nonspecialists to detect and objectively assess the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b733b00a4d27652b9e753b0135d3ba7
https://doi.org/10.2196/preprints.20641
https://doi.org/10.2196/preprints.20641
Publikováno v:
ICCAE
In this paper, we introduce an automatic evaluation system, mFAST, for the examination of neurological deficits and personalized stroke prediction. The proposed system enables mobile monitoring of stroke patients utilizing sensors and machine learnin
Publikováno v:
Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 9, p e20641 (2020)
Journal of Medical Internet Research, Vol 22, Iss 9, p e20641 (2020)
Background Subtle abnormal motor signs are indications of serious neurological diseases. Although neurological deficits require fast initiation of treatment in a restricted time, it is difficult for nonspecialists to detect and objectively assess the