Open AccessDevelopment of ECG sensor using arduino uno and e-health sensor platform: mood detection from heartbeat
Author(s) -
Lantana Dioren Rumpa,
Sallolo Suluh,
Irene Hendrika Ramopoly,
Wilson Jefriyanto
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1528/1/012043
Subject(s) - heartbeat , arduino , computer science , mood , noise (video) , microcontroller , measure (data warehouse) , heart rate monitor , artificial intelligence , computer hardware , embedded system , heart rate , psychology , medicine , computer security , data mining , psychiatry , radiology , blood pressure , image (mathematics)
Many researcher said that emotion or mood can be detected from physiological changes like the heartbeat. In order to measure human heart activity, we were using tools like Electrocardiograph. The changes on human emotion or mood affect physiology. This paper is part of our research that talked about Analysis of Mood State from Heart Signal during Playing Flappy Bird. In this paper, we will explain how we design ECG tools that could measure or detect the human heartbeat especially that affect by mood changes. E-Health Sensor Platform v2.0 and Arduino Uno were used to build this system. E-Health Sensor Platform v2.0 contains several sensors that can measure the biological state of humans such as heart rate, breathing, skin conductance and many others. This device can operate when connected with Arduino Uno as a microcontroller. Arduino uno role as a liaison between the Platform and the PC via a serial port. We were using C programming languange on Arduino Uno. 100 Hz were sett in programming code so we can read all data from ECG sensor clearly. To visualize the heartbeat signals we were using KSTPlot. This system has successfully read the heart signals of 20 participants. Although there is signal noise but it does not affect the data. The noise can also be removed with a filter.In our next study, the raw data will be analyzed using the HRV method, but this will be discussed in another paper.