ECG is a bio-signal used to diagnose abnormalities in the heart. In general, often measuring and analyze ECG in a stable state. However even if not heart disease, ECG is variably changed according to the user's environment or activity states, such as exercising, drinking coffee and others.In this paper, we implemented the abnormal heart rate and ECG monitoring system based on variable threshold considering the user's surrounding environment and activity state. The implemented system detects R-peak interval after preprocessing in the ECG signal for heart rate measurement. After then, the detected heart rate can be monitor to abnormalities heart rate through abnormal heart rate determination algorithm.In order to evaluate the heart rate detection according to the activity state of the implemented system, heart rate was measured according to the walking speed and slope. For accurate heart rate measurements, the experiments took a break between experiments to allow the heart rate to proceed in a steady state. A break is no time limit for the break to allow the heart rate to stable state. As an experiment result, the heart rate was detected higher in FW than SW. Both SW and FW was decreased heart rate when walking downhill, maintained heart rate when walking flat land and increased heart rate when walking uphill. In addition, for precise analysis were compared implemented system and commercial system. As a result of comparing R-peak detection between the commercial system and the implemented system, the detection accuracy of SW = 97.04% and FW = 95.96% were confirmed. SW showed high detection performance, but FW showed very poor detection performance.Some errors are considered to be due to external noise and motion noise. In future studies, we will implement an effective noise remove algorithm according to environmental and motion size to establish an accurate threshold range.
Volume 11 | 06-Special Issue
Pages: 2055-2059