The thesis compares three systems for measuring electrodermal activity: the stationary BIOPAC MP150 system with the EDA100C module, the wireless BioNomadix BN-PPGED system, and the wearable Senstream Research Ring. The aim was to evaluate signal quality, system response during the transition from rest to movement, and the influence of sensor design and attachment on the measurements.
Measurements were performed on the same participant in three repetitions and included rest, walking, and running phases. The signals were processed in Python using the NeuroKit2 library. The analysis focused on the tonic SCL component, the number of detected SCR peaks, changes in SCL between phases, and correlations of tonic trends between devices.
The results show that all three systems respond to changes between experimental phases, but differ in absolute values, signal stability, and sensitivity to movement. During dynamic measurements, the stability of mechanical contact between the sensor and the skin proved to be a key factor.
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