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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.10066 |
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| _version_ | 1866910527058345984 |
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| author | Nnamdi, Micky Joboson, Peter Bala, Charles Bala, Charles Dyaji |
| author_facet | Nnamdi, Micky Joboson, Peter Bala, Charles Bala, Charles Dyaji |
| contents | Quality of health is greatly impacted by the quality of measurement, hence active monitoring of patient's vitals status greatly affects recovery and improves prognosis. In this paper, we proposed an IoT health based monitoring system which comprises of a wearable wristband mounted on the patient wrist to eliminate the concept of patient's being static. The wearable wristband composed of a digital temperature sensor and a pulse rate sensor can remotely monitor health status and utilizing Thingspeak result viewed via a web app or delivered on a smartphone to a specialist who is in a remote location. In order to achieve high accuracy in readings, the signal measured from the pulse rate sensor was passed through a two stage Hp-Lp circuit to eliminate DC offset and noise. In addition, a scaling factor of 10.41909 was formulated and used to convert the digital output from the pulse rate sensor into a more accurate representation of the patient heat rate readings. The results displayed by the proposed system proved the system to be well suited and reliable for healthcare monitoring. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_10066 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Monitoring Health Using IoT and Thingspeak Nnamdi, Micky Joboson, Peter Bala, Charles Bala, Charles Dyaji Signal Processing Quality of health is greatly impacted by the quality of measurement, hence active monitoring of patient's vitals status greatly affects recovery and improves prognosis. In this paper, we proposed an IoT health based monitoring system which comprises of a wearable wristband mounted on the patient wrist to eliminate the concept of patient's being static. The wearable wristband composed of a digital temperature sensor and a pulse rate sensor can remotely monitor health status and utilizing Thingspeak result viewed via a web app or delivered on a smartphone to a specialist who is in a remote location. In order to achieve high accuracy in readings, the signal measured from the pulse rate sensor was passed through a two stage Hp-Lp circuit to eliminate DC offset and noise. In addition, a scaling factor of 10.41909 was formulated and used to convert the digital output from the pulse rate sensor into a more accurate representation of the patient heat rate readings. The results displayed by the proposed system proved the system to be well suited and reliable for healthcare monitoring. |
| title | Monitoring Health Using IoT and Thingspeak |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2407.10066 |