Abstract
| Language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Telecommunications and Photonics (ICTP) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 28-32 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538633748 |
| ISBN (Print) | 9781538633755 |
| DOIs | |
| Publication status | Published - 5 Dec 2017 |
| Externally published | Yes |
| Event | 2017 IEEE International Conference on Telecommunications and Photonics (ICTP) - Dhaka, Bangladesh Duration: 26 Dec 2017 → 28 Dec 2017 |
Conference
| Conference | 2017 IEEE International Conference on Telecommunications and Photonics (ICTP) |
|---|---|
| Country | Bangladesh |
| City | Dhaka |
| Period | 26/12/17 → 28/12/17 |
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Keywords
- Cloud computing
- internet of things
- tiny and affordable computers
- health care system
- sensors, mobile and web development
- sensors
- mobile and web development
Cite this
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Smart health care system for underdeveloped countries. / Arefin, Md Sultanul; Surovi, Tania Haider; Snigdha, Nazmun Nahar; Mridha, Md Firoz; Adnan, Md Akhtaruzzaman.
2017 IEEE International Conference on Telecommunications and Photonics (ICTP). Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 28-32.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
TY - GEN
T1 - Smart health care system for underdeveloped countries
AU - Arefin, Md Sultanul
AU - Surovi, Tania Haider
AU - Snigdha, Nazmun Nahar
AU - Mridha, Md Firoz
AU - Adnan, Md Akhtaruzzaman
PY - 2017/12/5
Y1 - 2017/12/5
N2 - Nowadays state of the art health care systems are either based on hospital or household environs and its scope is confined to urban areas of a country. Yet traditional healthcare systems are facing challenges such as lack of ubiquity, use of backdated techniques, inadequacies in tracking, observing and reporting status of patients and diseases as well as unaffordability. However, modern updates in IoT, cloud computing, mobile and web development and computer vision technology are offering us a wider scope in providing an effective health care system to everyone. The assistance includes automation in systematic monitoring of patients, transmission of medical data at real-time, saving those data in cloud servers, manipulate data for future use, presenting real time scenario to stake holders and many more. Here we suggest a wireless network infrastructure that will provide useful health and medical services to children and adults as well as assist in distributing vaccines, tablets and personnel to monitor endemic diseases. We have two components in our system, first one is the clinic booth accompanied by health workers. This system assists health workers in their work and acquire personalized data and sends them to an online server for future use. Second is the administration and presentation of the ground data to stake holders. In our preliminary network evaluation of the IoT powered clinic booth design we found average response time of 1.5 seconds with uptime of 98.16%.
AB - Nowadays state of the art health care systems are either based on hospital or household environs and its scope is confined to urban areas of a country. Yet traditional healthcare systems are facing challenges such as lack of ubiquity, use of backdated techniques, inadequacies in tracking, observing and reporting status of patients and diseases as well as unaffordability. However, modern updates in IoT, cloud computing, mobile and web development and computer vision technology are offering us a wider scope in providing an effective health care system to everyone. The assistance includes automation in systematic monitoring of patients, transmission of medical data at real-time, saving those data in cloud servers, manipulate data for future use, presenting real time scenario to stake holders and many more. Here we suggest a wireless network infrastructure that will provide useful health and medical services to children and adults as well as assist in distributing vaccines, tablets and personnel to monitor endemic diseases. We have two components in our system, first one is the clinic booth accompanied by health workers. This system assists health workers in their work and acquire personalized data and sends them to an online server for future use. Second is the administration and presentation of the ground data to stake holders. In our preliminary network evaluation of the IoT powered clinic booth design we found average response time of 1.5 seconds with uptime of 98.16%.
KW - Cloud computing
KW - internet of things
KW - tiny and affordable computers
KW - health care system
KW - sensors, mobile and web development
KW - sensors
KW - mobile and web development
UR - http://www.scopus.com/inward/record.url?scp=85050627128&partnerID=8YFLogxK
U2 - 10.1109/ICTP.2017.8285926
DO - 10.1109/ICTP.2017.8285926
M3 - Conference proceeding contribution
SN - 9781538633755
SP - 28
EP - 32
BT - 2017 IEEE International Conference on Telecommunications and Photonics (ICTP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -