| Title |
Pilot Study on the Feasibility of Portable Fingertip ECG Measurement Device and Heart Health Monitoring System |
| Authors |
장승완(Seung-wan Jang) ; 김영(Young Kim) ; 왕창원(Chang-won Wang) ; 호종갑(Jong-Gab Ho) ; 김대겸(Dae-Gyeom Kim) ; 민세동(Se-Dong Min) |
| DOI |
https://doi.org/10.5370/KIEE.2020.69.9.1400 |
| Keywords |
ECG; Heart rate; Fingertip; Portable; R-R interval |
| Abstract |
As we entered the aging society, personal health has become more important and various technologies for easier use of electrocardiograms (ECG) have been developed. According to the national statistics, heart disease is a major cause of death in Korea. Considering the risk factors and characteristics of heart diseases, constant monitoring of hear conditions is essential for the patients with cardiovascular diseases. This study designed and implemented a portable ECG measurement device (PEMD) that can monitor heart health in everyday life by wearing the device on a fingertip. To evaluate the performance of this portable heart health monitoring system, two different commercial sensors that measure heart rate and blood pressure were selected for correlation analysis. For the feasibility study experiment, 5 healthy volunteers in their 20s were recruited. To induce changes in the subjects’ heart rate (HR) and R-R interval time, 5 experimental conditions (at rest (C), right after running (E1), right after drinking a shot of espresso (E2), 10 minutes after espresso (E3), 20 minutes after espresso (E4)) were randomly selected for each subject. To evaluate PEMD’s detection performance of the R peak and R-R intervals in ECG signals, Bland-Altman plots and ANOVA were used to analyze the differences in the 5 conditions of 5 subjects. Results showed a very high consistency (95%) between the values measured by the three sensor devices, suggesting that PEMD and its monitoring system tested in this study are able to detect meaningful changes in HR, R peak, and R-R interval times after running on a treadmill and taking caffeine. Further study considering personal lifestyle and amount of daily coffee intake on more number of people together with higher level of signal processing and noise filtering functions of the sensor are needed. |