<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication Data for: PySiology: a Python Package for Physiological Feature Extraction</titl><IDNo agency="DOI">doi:10.21979/N9/GZSQT7</IDNo></titlStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><distDate>2019-02-25</distDate></distStmt><verStmt source="archive"><version date="2019-05-02" type="RELEASED">1</version></verStmt><biblCit>Esposito, Gianluca; Gabrieli, Giulio, 2019, "Replication Data for: PySiology: a Python Package for Physiological Feature Extraction", https://doi.org/10.21979/N9/GZSQT7, DR-NTU (Data), V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: PySiology: a Python Package for Physiological Feature Extraction</titl><IDNo agency="DOI">doi:10.21979/N9/GZSQT7</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Nanyang Technological University">Esposito, Gianluca</AuthEnty><AuthEnty affiliation="Nanyang Technological University">Gabrieli, Giulio</AuthEnty></rspStmt><prodStmt><software version="3.7">Python</software><software version="3.7">PySiology</software><grantNo agency="Nanyang Technological University">NAP - SUG Grant</grantNo></prodStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><contact affiliation="Nanyang Technological University">Esposito, Gianluca</contact><depositr>Esposito, Gianluca</depositr><depDate>2019-02-25</depDate></distStmt><holdings URI="https://doi.org/10.21979/N9/GZSQT7"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>Social Sciences</keyword><keyword>Physiology</keyword><keyword>Signal processing</keyword><keyword>Heart Rate Variability</keyword></subject><abstract date="2019-02-25">Physiological signals have been widely used to measure continuous data from the autonomic nervous system in the fields of Computer Science, Psychology and Human-Computer Interaction. Signal processing and feature estimation of physiological measurements can be performed with several commercial tools. Unfortunately, those tools possess a steep learning curve and do not usually allow for complete customization of estimation parameters. For these reasons, we designed PySiology, an open source package for the estimation of features from physiological signals, suitable for both novice and expert users. This package provides clear documentation of utilized methodology, guided functionalities for semi-automatic feature estimation and options for extensive customization. In this article, a brief introduction to the features of the package, and to its design workflow, are presented. To demonstrate the usage of the package in a real-world context, an advanced example of image valence estimation from physiological measurements (ECG, EMG, and EDA) is described. Preliminary tests have shown high reliability of features estimated using PySiology.</abstract><sumDscr><dataKind>Physiological data</dataKind><dataKind>csv file</dataKind><nation>Italy</nation><anlyUnit>Physiological data collected from individuals watching emotional pictures</anlyUnit></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOA" level="dv">please email us to obtain the data</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relStdy>&lt;a href="https://github.com/Gabrock94/Pysiology">https://github.com/Gabrock94/Pysiology&lt;/a></relStdy><relPubl><citation><titlStmt><IDNo agency="doi">10.1007/978-981-13-8950-4_35</IDNo></titlStmt><biblCit>Gabrieli, G., Azhari, A., &amp; Esposito, G. (2020). PySiology: A python package for physiological feature extraction. In Neural Approaches to Dynamics of Signal Exchanges (pp. 395-402).</biblCit></citation><ExtLink URI="https://link.springer.com/chapter/10.1007/978-981-13-8950-4_35"/></relPubl><relPubl><citation><titlStmt><IDNo agency="handle">10356/143582</IDNo></titlStmt><biblCit>Gabrieli, G., Azhari, A., &amp; Esposito, G. (2020). PySiology: A python package for physiological feature extraction. In Neural Approaches to Dynamics of Signal Exchanges (pp. 395-402).</biblCit></citation><ExtLink URI="https://hdl.handle.net/10356/143582"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f7821" URI="https://doi.org/10.21979/N9/GZSQT7/AZIUTH" level="datafile"><labl>Analysis.ipynb</labl><txt> Python notebook for replication of conducted analysis</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/octet-stream</notes></otherMat><otherMat ID="f7823" URI="https://doi.org/10.21979/N9/GZSQT7/WET3WX" level="datafile"><labl>dataset.csv</labl><txt>Dataset containing users' physiological responses</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/csv</notes></otherMat><otherMat ID="f7822" URI="https://doi.org/10.21979/N9/GZSQT7/T9BU0I" level="datafile"><labl>iaps.csv</labl><txt>Normative values for the IAPS pictures</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/csv</notes></otherMat><otherMat ID="f7820" URI="https://doi.org/10.21979/N9/GZSQT7/3RCZEQ" level="datafile"><labl>Pysiology-0.0.9.2.zip</labl><txt>Pysiology Python Package version 0.0.9 build 2</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat></codeBook>