IoT Edge Device to Estimate Breathing Rate from ECG Signal for Continuous Monitoring

Ricardo Yauri

doi:10.1109/EIRCON56026.2022.9934805

IoT Edge Device to Estimate Breathing Rate from ECG Signal for Continuous Monitoring

Ricardo Yauri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Devices developed for health applications are being driven by technologies such as the Internet of Things (IoT) due to the evolution of hardware and software. In addition, the large amount of information that is generated, in data source devices, is not used properly, using only its computational power to transmit raw data. For this reason, this paper describes how the implementation of an Edge device, together with IoT technologies, allows the processing of vital signs avoiding intensive transmissions to cloud services. This research describes the design and implementation of adaptation, smoothing and filtering processes of the ECG signal to obtain the heart and respiratory rate without the need to use other types of sensors. The results show the need to consider the characteristics of the hardware during the validation stage of the processing algorithms. Due to the limitations of the Broker MQTT server, the transmission is made using the Json format of the breathing rate, heart rate and temperature values to avoid saturating the Web service.

Original language	English
Title of host publication	Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665450829
DOIs	https://doi.org/10.1109/EIRCON56026.2022.9934805
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Engineering International Research Conference, EIRCON 2022 - Lima, Peru Duration: 26 Oct 2022 → 28 Oct 2022

Publication series

Name	Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022

Conference

Conference	2022 IEEE Engineering International Research Conference, EIRCON 2022
Country/Territory	Peru
City	Lima
Period	26/10/22 → 28/10/22

Bibliographical note

Funding Information:
This paper was developed as part of Doctoral studies at the Faculty of Systems Engineering and Informatics in UNMSM (Universidad Nacional Mayor de San Marcos).

Publisher Copyright:
© 2022 IEEE.

Keywords

Breathing Rate
ECG
Edge computing
Edge Device
heart rate
Internet of Things

Access to Document

10.1109/EIRCON56026.2022.9934805

Cite this

Yauri, R. (2022). IoT Edge Device to Estimate Breathing Rate from ECG Signal for Continuous Monitoring. In Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022 (Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIRCON56026.2022.9934805

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doi = "10.1109/EIRCON56026.2022.9934805",

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Yauri, R 2022, IoT Edge Device to Estimate Breathing Rate from ECG Signal for Continuous Monitoring. in Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022. Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Engineering International Research Conference, EIRCON 2022, Lima, Peru, 26/10/22. https://doi.org/10.1109/EIRCON56026.2022.9934805

IoT Edge Device to Estimate Breathing Rate from ECG Signal for Continuous Monitoring. / Yauri, Ricardo.
Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Yauri R. IoT Edge Device to Estimate Breathing Rate from ECG Signal for Continuous Monitoring. In Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings of the 2022 IEEE Engineering International Research Conference, EIRCON 2022). doi: 10.1109/EIRCON56026.2022.9934805

IoT Edge Device to Estimate Breathing Rate from ECG Signal for Continuous Monitoring

Abstract

Publication series

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Bibliographical note

Keywords

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