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Economical and wearable pulse oximeter using IoT
16th IEEE International Conference on Computer Science and Education, ICCSE 2021 ; : 168-171, 2021.
Article in English | Scopus | ID: covidwho-1522566
ABSTRACT
In this paper, we are presenting economical and wearable pulse oximeter device using sparkfun oximeter sensor and raspberry pi v2 model B. Nowadays whole world is facing COVID-19 pandemic from December 2091 and in corona patient blood oxygen level is goes down due to attack of virus on lungs. In this scenario economical and easy to use pulse oximeter is life saving device. To control pandemic;early detection of patients are important. We have presented easy to develop oximeter in this paper. We have connected sensor to Arduino uno using I2C protocol and using serial communication data is sent do raspberry pi using USB serial communication. We have achieved over 90% accuracy when result are compare with commercial health band. We also did comparative study with other sensor and we found that sparkfun sensor gives more accurate and quick results. Data visualization is implemented using python library. This device can be used as health band or for covid-19 patient monitoring using remotely. © 2021 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 16th IEEE International Conference on Computer Science and Education, ICCSE 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 16th IEEE International Conference on Computer Science and Education, ICCSE 2021 Year: 2021 Document Type: Article