This thesis analyzes skin electrodermal activity as an indicator of sympathetic nervous system activation, with particular focus on the stress response. After introducing the physiological and anatomical foundations of skin conductance, the main signal processing techniques are described, from filtering and downsampling to the decomposition of the signal into its tonic and phasic components. Furthermore, normalization and segmentation methods are discussed and the procedures are applied to the public WESAD dataset, with the aim of making data from different subjects comparable. Ultimately the cvxEDA algorithm is used and the results highlighted significant differences in terms of frequency, amplitude, and duration of the responses, confirming the electrodermal signal as a sensitive and reliable marker of emotional arousal states.
Questa tesi analizza l’attività elettrodermica della cute come indicatore dell’attivazione del sistema nervoso simpatico, in particolare della risposta allo stress. Dopo aver introdotto i fondamenti fisiologici e anatomici della conduttanza cutanea, vengono descritte le principali tecniche di elaborazione del segnale, dal filtraggio e downsamplig alla decomposizione del tracciato nelle sue componenti toniche e fasiche. Inoltre vengono discussi i metodi di normalizzazione e segmentazione e queste procedure vengono applicate al dataset pubblico WESAD, con l’obiettivo di rendere confrontabili i dati di diversi soggetti. Infine, viene utilizzato l'algoritmo cvxEDA e i risultati ottenuti hanno evidenziato differenze significative in termini di frequenza, ampiezza e durata delle risposte, confermando il segnale elettrodermico come marcatore sensibile e affidabile degli stati di attivazione emotiva.
L’elettroderma come finestra sullo stress: analisi tonica e fasica in soggetti sottoposti a stimolazione sperimentale.
MARUCCIA, LAURA
2024/2025
Abstract
This thesis analyzes skin electrodermal activity as an indicator of sympathetic nervous system activation, with particular focus on the stress response. After introducing the physiological and anatomical foundations of skin conductance, the main signal processing techniques are described, from filtering and downsampling to the decomposition of the signal into its tonic and phasic components. Furthermore, normalization and segmentation methods are discussed and the procedures are applied to the public WESAD dataset, with the aim of making data from different subjects comparable. Ultimately the cvxEDA algorithm is used and the results highlighted significant differences in terms of frequency, amplitude, and duration of the responses, confirming the electrodermal signal as a sensitive and reliable marker of emotional arousal states.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/97790