Amazon Web Services and MicroPython Based ECG Monitoring System

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dc.contributor.authorMert, T.U.
dc.contributor.authorAsadi, Farzin
dc.date.accessioned2024-07-12T21:40:48Z
dc.date.available2024-07-12T21:40:48Z
dc.date.issued2023en_US
dc.department[Belirlenecek]en_US
dc.description14th International Conference on Electrical and Electronics Engineering, ELECO 2023 -- 30 November 2023 through 2 December 2023 -- -- 197135en_US
dc.description.abstractWith the development of wearable sensor technologies, traceability of sports and health data has become widespread. Electrocardiography (ECG) is an important data in the detection of heart diseases and is a graphical representation of the electrical events occurring in the human heart. In this study, real-time transfer of ECG data to the cloud environment was performed with MicroPython using the ESP32 family microcontroller. MicroPython allows complex operations such as machine learning to be performed on microcontrollers with low processing power. Despite this, it seems that the number of studies conducted with MicroPython in the literature is still limited. In this study, after the ECG signal was cleared of noise with the designed software filters, the data was directed to the Amazon Web Services (AWS) cloud environment. Message Queuing Telemetry Transfer (MQTT) protocol is used for instant transmission of data to the cloud environment. In addition, ECG data was read from the cloud environment and graphs were drawn with the Python code developed on the computer. Analysis of the ECG signal was performed using available libraries. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ELECO60389.2023.10416021
dc.identifier.isbn9.79835E+12
dc.identifier.scopus2-s2.0-85185823456en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ELECO60389.2023.10416021
dc.identifier.urihttps://hdl.handle.net/20.500.12415/7471
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY08815
dc.subjectData Transferen_US
dc.subjectMicrocontrollersen_US
dc.subjectWearable Computersen_US
dc.subjectWearable Sensorsen_US
dc.subjectWeb Servicesen_US
dc.subjectWebsitesen_US
dc.subjectAmazon Web Servicesen_US
dc.subjectCloud Environmentsen_US
dc.subjectGraphical Representationsen_US
dc.subjectHealth Dataen_US
dc.subjectHeart Diseaseen_US
dc.subjectHuman Hearten_US
dc.subjectMonitoring Systemen_US
dc.subjectReal-Time Transferen_US
dc.subjectSensor Technologiesen_US
dc.subjectSports Dataen_US
dc.subjectElectrocardiographyen_US
dc.titleAmazon Web Services and MicroPython Based ECG Monitoring Systemen_US
dc.typeConference Object
dspace.entity.typePublication

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