Implementation of Kalman Filter Method in COVID-19 Patients Monitoring Application based on Bluetooth Low Energy (BLE)

Chika Novelia, Hani’ah Mahmudah, Aries Pratiarso, Nur Siswandari, Ari Wijayanti, Okkie Puspitorini

2021

Abstract

The COVID-19 disease is currently declared to be a global pandemic. Self-quarantining at home is one of the best solutions proposed to prevent COVID-19 spread and patient monitoring system will be useful for tracking the patient’s position during the implementation of this self-quarantine. The purpose of this paper is to implement the Kalman Filter method to processing RSSI value from BLE beacons in order to obtain distance values that resemble the real distance, so it can be used in the COVID-19 patient monitoring application. The distance will be calculated using the Log Normal Shadowing method and the estimation process will use the Kalman Filter method to obtain the distance value that is resemble to the real distance. From the test results, it show that the Kalman Filter method provides a distance value that resemble the actual distance with an error of 8.7%. While the Kalman Filter method is implemented in the patient monitoring application, it successfully sends the warning notification with success rate of 94% for patient and 90% for admin. The results show that the Kalman Filter method is appropriate to be implemented in the COVID-19 patient monitoring application.

Paper Citation

in Harvard Style

Novelia C., Mahmudah H., Pratiarso A., Siswandari N., Wijayanti A. and Puspitorini O. (2021). Implementation of Kalman Filter Method in COVID-19 Patients Monitoring Application based on Bluetooth Low Energy (BLE). In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 935-941. DOI: 10.5220/0010956900003260

in Bibtex Style

@conference{icast-es21,
author={Chika Novelia and Hani’ah Mahmudah and Aries Pratiarso and Nur Siswandari and Ari Wijayanti and Okkie Puspitorini},
title={Implementation of Kalman Filter Method in COVID-19 Patients Monitoring Application based on Bluetooth Low Energy (BLE)},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={935-941},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010956900003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Implementation of Kalman Filter Method in COVID-19 Patients Monitoring Application based on Bluetooth Low Energy (BLE)
SN - 978-989-758-615-6
AU - Novelia C.
AU - Mahmudah H.
AU - Pratiarso A.
AU - Siswandari N.
AU - Wijayanti A.
AU - Puspitorini O.
PY - 2021
SP - 935
EP - 941
DO - 10.5220/0010956900003260