Prospect and application of Internet of Things technology for prevention of SARIs
The Internet of Things (IoT) includes three core procedures: full spectrum perception, reliable transmission, and intelligent processing. It can be applied for the prevention and control of SARI (severe acute respiratory infection). By combining sensors, information technology, artificial intelligen...
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KeAi Communications Co., Ltd.
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doaj-011af12c57d74de48a868c99a1b78ae32021-04-02T20:09:26ZengKeAi Communications Co., Ltd.Clinical eHealth2588-91412020-01-01314Prospect and application of Internet of Things technology for prevention of SARIsYuanlin Song0Jinjun Jiang1Xun Wang2Dawei Yang3Chunxue Bai4Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, 200032 Shanghai, ChinaDepartment of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, 200032 Shanghai, ChinaDepartment of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, 200032 Shanghai, ChinaDepartment of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, 200032 Shanghai, ChinaCorresponding author.; Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, 200032 Shanghai, ChinaThe Internet of Things (IoT) includes three core procedures: full spectrum perception, reliable transmission, and intelligent processing. It can be applied for the prevention and control of SARI (severe acute respiratory infection). By combining sensors, information technology, artificial intelligence, and available dynamic networking devices, IoT could realize long-distance communication between hospitals, patients, and medical devices, which could ultimately improve current medical conditions.http://www.sciencedirect.com/science/article/pii/S2588914120300022Internet of ThingsMedical Internet of ThingsWireless sensing technologyInformation technologyRadio frequency identification technologySARI |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuanlin Song Jinjun Jiang Xun Wang Dawei Yang Chunxue Bai |
spellingShingle |
Yuanlin Song Jinjun Jiang Xun Wang Dawei Yang Chunxue Bai Prospect and application of Internet of Things technology for prevention of SARIs Clinical eHealth Internet of Things Medical Internet of Things Wireless sensing technology Information technology Radio frequency identification technology SARI |
author_facet |
Yuanlin Song Jinjun Jiang Xun Wang Dawei Yang Chunxue Bai |
author_sort |
Yuanlin Song |
title |
Prospect and application of Internet of Things technology for prevention of SARIs |
title_short |
Prospect and application of Internet of Things technology for prevention of SARIs |
title_full |
Prospect and application of Internet of Things technology for prevention of SARIs |
title_fullStr |
Prospect and application of Internet of Things technology for prevention of SARIs |
title_full_unstemmed |
Prospect and application of Internet of Things technology for prevention of SARIs |
title_sort |
prospect and application of internet of things technology for prevention of saris |
publisher |
KeAi Communications Co., Ltd. |
series |
Clinical eHealth |
issn |
2588-9141 |
publishDate |
2020-01-01 |
description |
The Internet of Things (IoT) includes three core procedures: full spectrum perception, reliable transmission, and intelligent processing. It can be applied for the prevention and control of SARI (severe acute respiratory infection). By combining sensors, information technology, artificial intelligence, and available dynamic networking devices, IoT could realize long-distance communication between hospitals, patients, and medical devices, which could ultimately improve current medical conditions. |
topic |
Internet of Things Medical Internet of Things Wireless sensing technology Information technology Radio frequency identification technology SARI |
url |
http://www.sciencedirect.com/science/article/pii/S2588914120300022 |
work_keys_str_mv |
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_version_ |
1721547869894213632 |