Analyysimenetelmä musiikin kuuntelun aiheuttamille fysiologisille muutoksille

Forskningsoutput: AvhandlingMagisteruppsats


The focus of the work was to develop an analysis method for spontaneous responses recorded during music listening. A new non-statistical method for automatic response detection and analysis was implemented. The algorithm detects activation in electromyography and electrodermal activity. Detected responses were studied in time domain and frequency domain by graphical user interface Physitools, which was also developed.

The practical application was to study facial electromyography, skin conductance and heart rate recorded during disliked, neutral, and liked music excerpts. The hypothesis was that neutral music will evoke the lowest physiological activity.

The detection algorithm managed to indicate real skin conductance responses reliably. Also electromyographic activity can be detected if signal-to-noise ratio is good. Heart rate was found to alter most during liked music while all the other activity was found to be higher in the case of disliked music.

Response detection gives an opportunity to study physiological signals effectively with higher signal-to-noise ratio and it also may reveal event-related information in spontaneous data. For the future research spontaneous responses are proposed to be studied during component-controlled music listening.
Bidragets titel på inmatningsspråkAn analysis method for physiological changes evoked by music listening
StatusPublicerad - 2009
MoE-publikationstypG2 Masteruppsats, polyteknisk masteruppsats


  • 515 Psykologi

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