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RespInPeace: Toolkit for processing respiratory belt data
Stockholm University, Faculty of Humanities, Department of Linguistics, Phonetics.ORCID iD: 0000-0003-3824-2980
2019 (English)In: Proceedings of Fonetik 2019, 2019, p. 115-118Conference paper, Published paper (Other academic)
Abstract [en]

RespInPeace is a Python toolkit for processing respiratory data collected using Respiratory Inductance Plethysmography (RIP). It provides methods for signal normalisation, calibration, parametrisation as well as for detection of respiratory events, such as inhalations, exhalations and breath holds. The paper gives a short overview of the most important functions of the program.

Place, publisher, year, edition, pages
2019. p. 115-118
National Category
General Language Studies and Linguistics
Research subject
Phonetics
Identifiers
URN: urn:nbn:se:su:diva-173581DOI: 10.5281/zenodo.3246019OAI: oai:DiVA.org:su-173581DiVA, id: diva2:1354724
Conference
Fonetik 2019, Stockholm, Sweden, June 10–12, 2019
Funder
Swedish Research Council, 2014-1072Available from: 2019-09-26 Created: 2019-09-26 Last updated: 2019-10-02Bibliographically approved

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Wlodarczak, Marcin
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CiteExportLink to record
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