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@article{ART002665239},
author={Choi, Jong Myung and Jeon Gyeong Suk and Sun Kyung Kim and Choi Jeong-Min and Dong Young Rhyu and Sook Yoon},
title={Design of Remote Early Dementia Diagnosis Systems},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2020},
volume={6},
number={4},
pages={27-32}

TY - JOUR
AU - Choi, Jong Myung
AU - Jeon Gyeong Suk
AU - Sun Kyung Kim
AU - Choi Jeong-Min
AU - Dong Young Rhyu
AU - Sook Yoon
TI - Design of Remote Early Dementia Diagnosis Systems
JO - Journal of Internet of Things and Convergence
PY - 2020
VL - 6
IS - 4
PB - The Korea Internet of Things Society
SP - 27
EP - 32
SN - 2466-0078
AB - Along with the aging of the population, the number of dementia patients is increasing, and the social and economic burden is also increasing. Currently, the effective way to manage dementia patients is to identify patients with dementia early. However, in rural and island areas where medical staff are scarce, there is a problem that it is difficult to visit a hospital and get an early examination. Therefore, we propose a remote early detection system for dementia to solve the problems. The remote dementia early diagnosis system is a system that allows a patient to receive examination and treatment from a remote dementia expert using remote medical technology based on real-time image communication. The remote early diagnosis system for dementia consists of a local client system used by medical staff at health centers in the island, an image server that transmits, stores and manages images, and an expert client used by remote dementia experts. The local client subsystem satisfies the current medical law's remote collaboration by allowing the patient to use it with the health center's medical staff. In addition, expert clients are used by dementia experts, and can store/manage patient information, analyze patient history information, and predict the degree of dementia progression in the future.
KW - Dementia;early diagnosis;telemedicine;remote diagnosis;video conferencing examination
DO -
UR -
ER -

Choi, Jong Myung, Jeon Gyeong Suk, Sun Kyung Kim, Choi Jeong-Min, Dong Young Rhyu and Sook Yoon. (2020). Design of Remote Early Dementia Diagnosis Systems. Journal of Internet of Things and Convergence, 6(4), 27-32.

Choi, Jong Myung, Jeon Gyeong Suk, Sun Kyung Kim, Choi Jeong-Min, Dong Young Rhyu and Sook Yoon. 2020, "Design of Remote Early Dementia Diagnosis Systems", Journal of Internet of Things and Convergence, vol.6, no.4 pp.27-32.

Choi, Jong Myung, Jeon Gyeong Suk, Sun Kyung Kim, Choi Jeong-Min, Dong Young Rhyu, Sook Yoon "Design of Remote Early Dementia Diagnosis Systems" Journal of Internet of Things and Convergence 6.4 pp.27-32 (2020) : 27.

Choi, Jong Myung, Jeon Gyeong Suk, Sun Kyung Kim, Choi Jeong-Min, Dong Young Rhyu, Sook Yoon. Design of Remote Early Dementia Diagnosis Systems. 2020; 6(4), 27-32.

Choi, Jong Myung, Jeon Gyeong Suk, Sun Kyung Kim, Choi Jeong-Min, Dong Young Rhyu and Sook Yoon. "Design of Remote Early Dementia Diagnosis Systems" Journal of Internet of Things and Convergence 6, no.4 (2020) : 27-32.

Choi, Jong Myung; Jeon Gyeong Suk; Sun Kyung Kim; Choi Jeong-Min; Dong Young Rhyu; Sook Yoon. Design of Remote Early Dementia Diagnosis Systems. Journal of Internet of Things and Convergence, 6(4), 27-32.

Choi, Jong Myung; Jeon Gyeong Suk; Sun Kyung Kim; Choi Jeong-Min; Dong Young Rhyu; Sook Yoon. Design of Remote Early Dementia Diagnosis Systems. Journal of Internet of Things and Convergence. 2020; 6(4) 27-32.

Choi, Jong Myung, Jeon Gyeong Suk, Sun Kyung Kim, Choi Jeong-Min, Dong Young Rhyu, Sook Yoon. Design of Remote Early Dementia Diagnosis Systems. 2020; 6(4), 27-32.

Choi, Jong Myung, Jeon Gyeong Suk, Sun Kyung Kim, Choi Jeong-Min, Dong Young Rhyu and Sook Yoon. "Design of Remote Early Dementia Diagnosis Systems" Journal of Internet of Things and Convergence 6, no.4 (2020) : 27-32.