Development of ECG sensor using Arduino Uno and e-health sensor platform: mood detection from heartbeat

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 set in the programming
code so we can read all data from the ECG sensor clearly. To visualize the heartbeat signals we were
using KSTPlot. This system successfully read the heart signals of 20 participants. Although
there is signal noise 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.