Smart Watches and Pulse Bands with Built-in Oximeter
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| Abstract |
In the present day we live in, a catastrophic virus COVID-19 has drastically changed the day to day living of a human being. The virus causes hypoxemia (shortness of breath), sometimes even severe cases. Hypoxemia is caused due to low oxygen saturation (SpO2) levels and in order to monitor SpO2 levels we utilize the method of Pulse Oximetry. It has played a major role in monitoring oxygen levels in a continuous and accurate manner. Patients who are diagnosed during the early stages with the virus are able to monitor their SpO2 levels at home and take the prescribed medicines. This reduced the need for hospital beds and chaos during the pandemic as patients were able to self-isolate and monitor themselves. The principle that Oximetry is contingent on is light reflectance. The fingertip model is the most common technique used to display the blood oxygenation level. However, the finger model is not as comfortable and does not promote continuous monitoring of SpO2 levels. Factors such as nail polish can play a role in the accuracy of the reading. The proposed design is a non-invasive medical device that can measure the oxygen saturation level in a person's blood. Wrist wearing is preferable to finger models as it is a comfortable site for measuring than that of the latter, therefore enabling continuous monitoring of oxygen saturation level. Most devices in application today are inaccurate and used for non-clinical use. Therefore, it is aimed to achieve better accuracy by avoiding readings that are influenced by factors such as motion artifacts by utilizing sensors that are appropriate through an accelerometer and gyroscope. The sensors have been utilized to its maximum potential as the model also detects heart rate levels. Providing device connectivity to the proposed wrist pulse oximeter through a Wi- Fi module has advanced its functionality by transmitting notifications that alert an individual with the levels of oxygen saturation, fall detection and heart rate levels. |
| Year of Conference |
2024
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| Conference Name |
ISML 2024 - Intelligent Systems and Machine Learning Conference
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| Number of Pages |
101-105,
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| Publisher |
Institute of Electrical and Electronics Engineers Inc.
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| ISBN Number |
979-835034387-8 (ISBN)
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| URL |
https://ieeexplore.ieee.org/document/11007413
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| DOI |
10.1109/ISML60050.2024.11007413
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| Alternate Title |
ISML - Intell. Syst. Mach.Learn. Conf.
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Conference Proceedings
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