Internet of things based multi-sensor patient fall detection system
Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness. In this study, the authors present a cost-effective integrated system designed to remotely detect patient falls in hospitals in a...
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| Main Author: | Khan, Sarah (author) |
|---|---|
| Other Authors: | Qamar, Ramsha (author), Zaheen, Rahma (author), Al-Ali, Abdul-Rahman (author), Al Nabulsi, Ahmad (author), Al-Nashash, Hasan (author) |
| Format: | article |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/16598 |
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