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DC Field | Value | Language |
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dc.contributor.author | Sueaseenak D. | |
dc.contributor.author | Thongnawakun P. | |
dc.contributor.author | Thongklang A. | |
dc.contributor.author | Pinkaraket C. | |
dc.contributor.author | Rattanajaruskul N. | |
dc.contributor.author | Roongsangmanoon W. | |
dc.date.accessioned | 2021-04-05T03:01:34Z | - |
dc.date.available | 2021-04-05T03:01:34Z | - |
dc.date.issued | 2020 | |
dc.identifier.other | 2-s2.0-85084983490 | |
dc.identifier.uri | https://ir.swu.ac.th/jspui/handle/123456789/11982 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084983490&doi=10.1109%2fiEECON48109.2020.229567&partnerID=40&md5=10ea1c5f0603828db57202893c84ef95 | |
dc.description.abstract | Health and wellness are important for people. The report of the world health organization (WHO), cardiovascular diseases are the main course which lead human to death. The electrocardiography (ECG) is used to diagnose normal and abnormal heart. In this research, the personal heart healthcare system was proposed to use the ECG signal. The system consists of ECG measurement and the signal processing system by using a commercial-grade module. In our project, the transmission of ECG signals uses Bluetooth in Android smartphones with applications in real-time. To investigate and evaluate the performance of our purposed system, we use a well-known method such as similarity measurement technique, frequency analysis, and latency. From experiment, the results show that correlation coefficients are 0.99. Furthermore, the frequency content of normal ECG is 0.5 Hz - 40 Hz. As result, our system can be used effectively in a real application in the future. In addition, the result is very promising. © 2020 IEEE. | |
dc.subject | mHealth | |
dc.subject | Signal processing | |
dc.subject | Cardio-vascular disease | |
dc.subject | Correlation coefficient | |
dc.subject | Frequency Analysis | |
dc.subject | Health and wellness | |
dc.subject | Health-care system | |
dc.subject | Signal processing systems | |
dc.subject | Similarity measurements | |
dc.subject | World Health Organization | |
dc.subject | Electrocardiography | |
dc.title | Development of Personal Heart Healthcare System to Promote a Wellness of Thai People | |
dc.type | Conference Paper | |
dc.rights.holder | Scopus | |
dc.identifier.bibliograpycitation | 2020 8th International Electrical Engineering Congress, iEECON 2020. Vol , No. (2020), p.- | |
dc.identifier.doi | 10.1109/iEECON48109.2020.229567 | |
Appears in Collections: | Scopus 1983-2021 |
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