TY - GEN
T1 - A study of Real-Time HRV Analysis Using a Commercial Wearable Device
AU - Pramukantoro, Eko Sakti
AU - Gofuku, Akio
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/9/13
Y1 - 2021/9/13
N2 - In heart rate variability (HRV) measurement, a Holter monitor is typically used to observe ECG data. However, since this device lacks mobility, any alternative wearable devices with a similar capability of recording cardiac data are preferred. On the other hand, the application provided alongside wearable devices are mostly installed in smartphone environments, which cause significant concern in user's privacy. It is better to develop our application to calculate sensitive data. This study proposed an application that utilizes a commercialized wearable wireless device to collect electrocardiography data and performs an HRV measurement using time domain, frequency domain, and nonlinear domain. Furthermore, it also examines RR interval and ECG data produced by Polar H10. This study is done by prototyping and experimenting involving participants in a laboratory environment. As a result, the proposed application successfully extracts several pieces of information based on HRV measurement. Using T-test shows data RR interval data and ECG data produced by Polar H10 are equal. Thus, RR interval data is suggested for HRV measurement instead of ECG data from the device. Because in ECG data produced by Polar H10 consist of noise especially in early recording. The benefit of using this application is the ability to conducting real-time and continuous measurement cardiac data based on HVR methods.
AB - In heart rate variability (HRV) measurement, a Holter monitor is typically used to observe ECG data. However, since this device lacks mobility, any alternative wearable devices with a similar capability of recording cardiac data are preferred. On the other hand, the application provided alongside wearable devices are mostly installed in smartphone environments, which cause significant concern in user's privacy. It is better to develop our application to calculate sensitive data. This study proposed an application that utilizes a commercialized wearable wireless device to collect electrocardiography data and performs an HRV measurement using time domain, frequency domain, and nonlinear domain. Furthermore, it also examines RR interval and ECG data produced by Polar H10. This study is done by prototyping and experimenting involving participants in a laboratory environment. As a result, the proposed application successfully extracts several pieces of information based on HRV measurement. Using T-test shows data RR interval data and ECG data produced by Polar H10 are equal. Thus, RR interval data is suggested for HRV measurement instead of ECG data from the device. Because in ECG data produced by Polar H10 consist of noise especially in early recording. The benefit of using this application is the ability to conducting real-time and continuous measurement cardiac data based on HVR methods.
KW - BLE Frameworks
KW - ECG
KW - HRV
KW - RR interval
UR - http://www.scopus.com/inward/record.url?scp=85118886476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118886476&partnerID=8YFLogxK
U2 - 10.1145/3479645.3479677
DO - 10.1145/3479645.3479677
M3 - Conference contribution
AN - SCOPUS:85118886476
T3 - ACM International Conference Proceeding Series
SP - 216
EP - 220
BT - Proceedings of 2021 International Conference on Sustainable Information Engineering and Technology, SIET 2021
PB - Association for Computing Machinery
T2 - 6th International Conference on Sustainable Information Engineering and Technology, SIET 2021
Y2 - 13 September 2021 through 14 September 2021
ER -