Heart Rate Monitoring System During Physical Exercise for Fatigue Warning Using Non-invasive Wearable Sensor
| Autor: | Rahmat Zaitul Ikhlas, Shelvi Ekariani, Dody Ichwana |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Warning system
Computer science 0206 medical engineering Real-time computing System testing Wearable computer 020206 networking & telecommunications Physical exercise 02 engineering and technology 020601 biomedical engineering Photoplethysmogram Heart rate 0202 electrical engineering electronic engineering information engineering Scenario testing Android (operating system) |
| Zdroj: | 2018 International Conference on Information Technology Systems and Innovation (ICITSI). |
| DOI: | 10.1109/icitsi.2018.8696039 |
| Popis: | Exercise provides many benefits for the body. For someone who has heart problems, exercise should be aligned according to the heart condition. This paper proposes to report a system of monitoring heart rate in real time based on Android by using photoplethysmograph (ppg) signals to provide early warning in anticipation of fatigue during running exercise. The contribution of this study is an algorithm to define the level of fatigue when a user running exercise. During exercise, the heart rate monitoring system in the application will record heart rate data in real time and give a warning message in the form of vibration on the user’s smartphone device when the heart rate is too fast or over the maximum limit. Monitoring heart rate using an Android application and easy pulse plug-in sensor. The easy pulse plug-in sensor is placed on the user’s fingertips to record heart rate data using photoplethysmograph (ppg) signals when the user do the exercise. The heart rate detection by the easy pulse plug-in sensor is done in the microcontroller, and then the heart rate data is sent to the smartphone via Bluetooth communication media. System testing is done by running exercise using a test scenario in the form of variations in age, running speed and length of running period to see the effect of physical activity on the number of heart rates. The test results show that the accuracy of heart rate detection is 95.923% and the android application can give a warning when the user’s heart rate more than the normal limit when running. |
| Databáze: | OpenAIRE |
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