QRS complex detection, analysis and pre-processing to determine stress
Ancona, 31 October 2014. Daniel Scherz presented a algorithmic calculation for stress detection. The system is designed to enable real time monitoring of stress by using a mobile, cheap and light-weighted device. The results have shown that stress can be detected even in the case that people may have a naturally low or a height heart rate. The prototype can be connected to different systems (PCs or smartphones). The algorithm for stress detection has been implemented with a small footprint and it can be deployed in prototyping board, for example, an Arduino Uno has been used. The system has been tested while doing sport activities but the interference generated by the movement of the electrodes generates artefacts in the signal, which has to be filtered or corrected.
There are several approaches to determine and calculate a stress level. They are usually divided in dif-ferent categories: Labour systems belong to the first category which allow to measure stress precisely and proficiently but the systems are not mobile and transportable and they do not support real-time feedback. Systems of the second category do not need any equipment to measure stress but their dis-advantage is that they are limited to specific use cases. This work presents a mobile low-cost system that provides stress detection, analysis, pre-processing, data-stream and visualization over a wireless connection to a mobile system.