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Development Of Wireless Nurse Call System With Automated Fall Detector Using Wi-Fi

Goh, May Yee (2018) Development Of Wireless Nurse Call System With Automated Fall Detector Using Wi-Fi. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Development Of Wireless Nurse Call System With Automated Fall Detector Using Wi-Fi.pdf - Submitted Version

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Abstract

Nurse Call System is the first line of defense for patients who are under medical care unit.However,the existing problems with the traditional nurse call systems are the systems are hard-wired and the traditional fall detection systems are mostly passive.If a patient fell to unconscious mind,he or she will not able to call for help.Therefore,a system is developed to tackle these problems by using Wi-Fi as the wireless protocol for the Nurse Call Button devices to communicate with the Nurse Station servers.Moreover,an accelerometer is embedded inside of the Nurse Call button to detect falls based on the threshold value.If the value detected exceeds the threshold,the fall signal will be sent to Nurse Station and displayed on the LED Dot Matrix Display.This LED Dot Matrix Display device displays the respective patient ID and the status (either fall or call).In addition,a database is created to store the history and the updated status.These can be viewed on the webpage in Nurse Station Computers.The range of the system is based on the strength of Wi-Fi signal.This system has been tested indoors and outdoors using a mobile hotspot.The result shows that the outdoor signal is stronger than indoor due to mobile hotspot relies on cellular network and the ideal falling threshold is 16.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Detectors,Arduino (Programmable controller).
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FTKEE
Depositing User: Mohd. Nazir Taib
Date Deposited: 20 Feb 2020 02:55
Last Modified: 20 Feb 2020 02:55
URI: http://digitalcollection.utem.edu.my/id/eprint/24246

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