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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: PySiology: a Python Package for Physiological Feature Extraction |
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Identification Number: |
doi:10.21979/N9/GZSQT7 |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2019-02-25 |
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Version: |
1 |
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Bibliographic Citation: |
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 |
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Citation |
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Title: |
Replication Data for: PySiology: a Python Package for Physiological Feature Extraction |
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Identification Number: |
doi:10.21979/N9/GZSQT7 |
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Authoring Entity: |
Esposito, Gianluca (Nanyang Technological University) |
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Gabrieli, Giulio (Nanyang Technological University) |
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Software used in Production: |
Python |
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Software used in Production: |
PySiology |
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Grant Number: |
NAP - SUG Grant |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Esposito, Gianluca |
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Depositor: |
Esposito, Gianluca |
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Date of Deposit: |
2019-02-25 |
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Holdings Information: |
https://doi.org/10.21979/N9/GZSQT7 |
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Study Scope |
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Keywords: |
Social Sciences, Social Sciences, Physiology, Signal processing, Heart Rate Variability |
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Abstract: |
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. |
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Country: |
Italy |
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Unit of Analysis: |
Physiological data collected from individuals watching emotional pictures |
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Kind of Data: |
Physiological data |
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Kind of Data: |
csv file |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
please email us to obtain the data |
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Other Study Description Materials |
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Related Studies |
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<a href="https://github.com/Gabrock94/Pysiology">https://github.com/Gabrock94/Pysiology</a> |
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Related Publications |
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Citation |
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Identification Number: |
10.1007/978-981-13-8950-4_35 |
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Bibliographic Citation: |
Gabrieli, G., Azhari, A., & Esposito, G. (2020). PySiology: A python package for physiological feature extraction. In Neural Approaches to Dynamics of Signal Exchanges (pp. 395-402). |
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Citation |
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Identification Number: |
10356/143582 |
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Bibliographic Citation: |
Gabrieli, G., Azhari, A., & Esposito, G. (2020). PySiology: A python package for physiological feature extraction. In Neural Approaches to Dynamics of Signal Exchanges (pp. 395-402). |
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Label: |
Analysis.ipynb |
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Text: |
Python notebook for replication of conducted analysis |
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Notes: |
application/octet-stream |
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Label: |
dataset.csv |
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Text: |
Dataset containing users' physiological responses |
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Notes: |
text/csv |
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Label: |
iaps.csv |
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Text: |
Normative values for the IAPS pictures |
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Notes: |
text/csv |
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Label: |
Pysiology-0.0.9.2.zip |
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Text: |
Pysiology Python Package version 0.0.9 build 2 |
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Notes: |
application/zip |