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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/80237
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Sheet, Sinan S. Mohammed | - |
dc.contributor.author | Jarjess, Mohammed S. | - |
dc.contributor.author | Shanshal, Abdullah K. | - |
dc.contributor.author | Elhaj, Fatin A. | - |
dc.date.accessioned | 2024-03-04T08:17:27Z | - |
dc.date.available | 2024-03-04T08:17:27Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | The Journal of the Institution of Engineers, Malaysia, vol.83 (1), 2022, pages 22-24 | en_US |
dc.identifier.issn | 0126-513x | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/80237 | - |
dc.description | Link to publisher’s homepages at https://www.myiem.org.my/ | en_US |
dc.description.abstract | Using IoT technology to monitor patients' vital signs can help limit the spread of the coronavirus. Therefore, a cost-effective remote monitoring system measuring vital signs is proposed. Dual heart rate and oxygen level sensor, a temperature sensor, two microcontrollers, UNO as a power supply, and Node as the main controller are used in this system. The vital signs are monitored non invasively utilising Photoplethysmography equipment and wirelessly relayed to the person involved via the Blynk platform utilising a Wi-Fi device. Photoplethysmography is the core technology for the entire system. It also shows how the system can connect to the internet worldwide, which lets it be used in different clinical tests. | en_US |
dc.language.iso | en | en_US |
dc.publisher | The Institution of Engineers, Malaysia (IEM) | en_US |
dc.subject.other | Blynk platform | en_US |
dc.subject.other | Internet of Things | en_US |
dc.subject.other | Microcontrollers | en_US |
dc.subject.other | Vital signs | en_US |
dc.title | IOT platform for vital signs detection using node microcontroller | en_US |
dc.type | Article | en_US |
dc.identifier.url | https://www.myiem.org.my/ | - |
Appears in Collections: | IEM Journal |
Files in This Item:
File | Description | Size | Format | |
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IOT platform for vital signs detection using node microcontroller.pdf | Main article | 704.26 kB | Adobe PDF | View/Open |
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