<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>MIMIC-BP</titl><IDNo agency="DOI">doi:10.7910/DVN/DBM1NF</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2023-11-15</distDate></distStmt><verStmt source="archive"><version date="2024-11-21" type="RELEASED">2</version></verStmt><biblCit>Samsung R&amp;D Institute Brazil, SRBR; Otávio A. B. Penatti; Carlos Caetano; Vinicius H. Cene; Ivandro Sanches; Victor V. Gomes; Lizeth S. B. Cabrera; Thomas Beltrame; Wonkyu Lee; Sanghyun Baek, 2023, "MIMIC-BP", https://doi.org/10.7910/DVN/DBM1NF, Harvard Dataverse, V2</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>MIMIC-BP</titl><IDNo agency="DOI">doi:10.7910/DVN/DBM1NF</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Samsung">Samsung R&amp;D Institute Brazil, SRBR</AuthEnty><AuthEnty affiliation="Samsung">Otávio A. B. Penatti</AuthEnty><AuthEnty affiliation="Samsung">Carlos Caetano</AuthEnty><AuthEnty affiliation="Samsung">Vinicius H. Cene</AuthEnty><AuthEnty affiliation="Samsung">Ivandro Sanches</AuthEnty><AuthEnty affiliation="Samsung">Victor V. Gomes</AuthEnty><AuthEnty affiliation="Samsung">Lizeth S. B. Cabrera</AuthEnty><AuthEnty affiliation="Samsung">Thomas Beltrame</AuthEnty><AuthEnty affiliation="Samsung">Wonkyu Lee</AuthEnty><AuthEnty affiliation="Samsung">Sanghyun Baek</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="Samsung" email="srbr.ai@samsung.com">Samsung R&amp;D Institute Brazil, SRBR</contact><depositr>Samsung R&amp;D Institute Brazil, SRBR</depositr><depDate>2023-11-15</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/DBM1NF"/></citation><stdyInfo><subject><keyword xml:lang="en">Computer and Information Science</keyword></subject><abstract>We propose a derivative dataset (derived from MIMIC-III Waveform Database Matched Subset) composed of 380 hours of the most common biomedical signals, including arterial blood pressure, photoplethysmograph, and electrocardiogram for 1,524 de-identified subjects, each having 30 segments of 30 seconds of those signals. For more detailed information, please refer to the scientific article at this link:
&lt;a href="https://www.nature.com/articles/s41597-024-04041-1">https://www.nature.com/articles/s41597-024-04041-1&lt;/a></abstract><sumDscr/><notes>1.
The MIMIC-BP dataset is available under the License Open Data Commons Open Database License v1.0.

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2. Scripts that produced MIMIC-BP:
&lt;a href="https://github.com/mimicbp/MIMIC-BP">https://github.com/mimicbp/MIMIC-BP&lt;/a></notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="https://opendatacommons.org/licenses/odbl/1-0">ODbL 1.0&lt;/a></notes></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f7574731" URI="https://dataverse.harvard.edu/api/access/datafile/7574731" level="datafile"><labl>abp.zip</labl><txt>Zip file containing all the abp files</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f7574838" URI="https://dataverse.harvard.edu/api/access/datafile/7574838" level="datafile"><labl>ecg.zip</labl><txt>Zip file containing all the ecg files</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f7574727" URI="https://dataverse.harvard.edu/api/access/datafile/7574727" level="datafile"><labl>labels.zip</labl><txt>Zip file containing all the label files</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f7574732" URI="https://dataverse.harvard.edu/api/access/datafile/7574732" level="datafile"><labl>ppg.zip</labl><txt>Zip file containing all the ppg files</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f7574626" URI="https://dataverse.harvard.edu/api/access/datafile/7574626" level="datafile"><labl>read_data.ipynb</labl><txt>Python notebook example for reading the data</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-ipynb+json</notes></otherMat><otherMat ID="f7574630" URI="https://dataverse.harvard.edu/api/access/datafile/7574630" level="datafile"><labl>read_data.py</labl><txt>Python script example for reading the data</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f7574839" URI="https://dataverse.harvard.edu/api/access/datafile/7574839" level="datafile"><labl>resp.zip</labl><txt>Zip file containing all the resp files</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f7574623" URI="https://dataverse.harvard.edu/api/access/datafile/7574623" level="datafile"><labl>test_subjects.txt</labl><txt>List of subject ids used for test split.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7574628" URI="https://dataverse.harvard.edu/api/access/datafile/7574628" level="datafile"><labl>train_subjects.txt</labl><txt>List of subject ids used for training split.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7574624" URI="https://dataverse.harvard.edu/api/access/datafile/7574624" level="datafile"><labl>val_subjects.txt</labl><txt>List of subject ids used for validation split.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat></codeBook>