Rizal, Aminuddin and Lin, Yu-Chen and Lin, Yuan-Hsiang (2018) Contactless vital signs measurement for self-service healthcare kiosk in intelligent building. In: 3rd International Conference on Intelligent Green Building and Smart Grid, 22-25 April 2018, Yilan, Taiwan.
Full text not available from this repository.Abstract
Contactless healthcare system is becoming a new trend to solve the existing healthcare system limitations. High flexibility and accessibility are the main advantages of contactless measurements. In this paper, we proposed a contactless healthcare kiosk for intelligent building application. The Remote Imaging Photoplethysmography (rIPPG) based framework to measure multiple human's vital signs, including pulse rate (PR), respiratory rate (RR), and systolic blood pressure (SBP) was developed to fulfill the performance requirement with a personal computer. Our experimental results show the Mean Absolute Error (MAE) of each measured parameters are 1.7 BPM, 0.41 BPM and 8.15 mmHg for PR, RR, and SBP respectively compared with clinical apparatus. These statistical numbers show the feasibility of using the contactless based system to measure numerous vital signs and also meet the requirements of standard healthcare device.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | contactless measurement , healthcare kiosk , remote imagingphotoplethysmography , vital signs |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation) 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 500 Science and Mathematic > 510 Mathematics > 510 Mathematics 600 Technology (Applied Sciences) > 600 Technology > 600 Technology 600 Technology (Applied Sciences) > 610 Medicine and Health > 613 Personal Health and Safety |
| Divisions: | Faculty of Engineering & Informatics > Electrical Engineering |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 02 Dec 2021 13:42 |
| Last Modified: | 02 Dec 2021 13:42 |
| URI: | https://kc.umn.ac.id/id/eprint/19315 |
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