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89 results for “respiratory monitoring”
Electrical Impedance Tomography (EIT) measurement monitoring the respiratory status
<p>This dataset was used in a study titled "Structural priors represented by discrete cosine transform improve EIT functional imaging" which is currently pending publication. The dataset consists of Electrical Impedance Tomography (EIT) measurements that were collected during the monitoring of respiratory status in tested subjects. The data is stored as .get files, which can be imported into the Matlab® workspace using the codes provided on GitHub at https://github.com/rongqing-chen/DCT-EIT.</p> <p>Using the dataset requires the citation of the following publication:</p> <ul> <li>Lovas A, Chen R, Molnár T, Benyó B, Szlávecz Á, Hawchar F, et al. Differentiating Phenotypes of Coronavirus Disease-2019 Pneumonia by Electric Impedance Tomography. Frontiers in Medicine. 2022;9. doi: 10.3389/fmed.2022.747570</li> <li>R. Chen, S. Krueger-Ziolek, A. Lovas, B. Benyó, S.J. Rupitsch, K. Moeller (2023) Structural priors represented by discrete cosine transform improve EIT functional imaging. PLoS ONE 18(5): e0285619. 10.1371/journal.pone.0285619</li> </ul>
Non-invasive Tidal Volume Monitoring Using the Linshom Respiratory Monitoring Device
ClinicalTrials.gov study NCT03279458. IPD Sharing: NO. Countries: 1. Publications: 8.
An Evaluation of the Utility of the ExSpiron Respiratory Variation Monitor During Upper GI Endoscopy
ClinicalTrials.gov study NCT02310230. IPD Sharing: NO. Countries: 1. Publications: 4.
Wide Scale Monitoring for Acute Respiratory Infection Using a Mobile-Based Study Platform
ClinicalTrials.gov study NCT04663776. IPD Sharing: NO. Countries: 1. Publications: 17.
PRediction of Opioid-induced Respiratory Depression In Patients Monitored by capnoGraphY
ClinicalTrials.gov study NCT02811302. IPD Sharing: NO. Countries: 7. Publications: 12.
Evaluation of Respiratory Acoustic Monitor in Children After Surgery
ClinicalTrials.gov study NCT02256384. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Supplementary Material for: 'An impedance pneumography signal quality index: design, assessment and application to respiratory rate monitoring'
<p>This supplementary material accompanies:</p> <p>Charlton P.H. <em>et al.</em>, "<a href="https://doi.org/10.1016/j.bspc.2020.102339">An impedance pneumography signal quality index for respiratory rate monitoring: design, assessment and application</a>", <em>Biomedical Signal Processing and Control</em>, 65, 102339, 2021.</p> <p>The Impedance Pneumography Signal Quality Index (SQI) dataset and accompanying scripts (in Matlab format) are provided to facilitate reproduction of the analyses using data from the MIMIC III dataset in this publication.</p> <p><strong>Summary of Publication</strong></p> <p>In this article we developed and assessed the performance of a signal quality index (SQI) for the impedance pneumography signal.<br> The SQI was developed using data from the <a href="http://peterhcharlton.github.io/RRest/listen_dataset.html">Listen dataset</a>, and assessed using data from the <a href="http://peterhcharlton.github.io/RRest/listen_dataset.html">Listen dataset</a> and MIMIC III datasets.<br> The SQI was found to accurately classify segments of impedance pneumography signal as either high or low quality. Furthermore, when it was coupled with a high performance RR algorithm, highly accurate and precise RRs were estimated from those segments deemed to be high quality. In this study performance was assessed in the critical care environment - further work is required to deteremine whether the SQI is suitable for use with wearable sensors. Both the dataset and code used to perform this study are publicly available.</p> <p><strong>Reproducing this Publication</strong></p> <p>The work relating to the MIMIC dataset in this publication can be reproduced as follows:</p> <p><strong> - Reproducing the analysis</strong><br> These steps can be used to quickly reproduce the analysis using the curated and annotated dataset.</p> <p>* Download the curated and annotated dataset from <a href="https://doi.org/10.5281/zenodo.3973770">Zenodo</a> using this <a href="https://zenodo.org/record/3973771/files/mimic_imp_sqi_data.mat?download=1">direct download link</a>.<br> * Run the analysis using the <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_imp_sqi_mimic.m</em></a> script.</p> <p><strong> - Full reproduction</strong><br> These steps include downloading the raw data files, extracting data from these files, collating the dataset, manually annotating the data, and performing the analysis.</p> <p>* Use the <a href="https://zenodo.org/record/3973771/files/ImP_SQI_mimic_data_importer.m?download=1"><em>ImP_SQI_mimic_data_importer.m</em></a> script to download raw MIMIC data files from PhysioNet, and collate them into a single Matlab file.<br> * Prepare the dataset for manual annotation by running the <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_imp_sqi_mimic.m</em></a> script.<br> * Manually annotate the signals by running the <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_mimic_imp_annotation.m</em></a> script - the annotations are stored in separate files (the original annotation files are available <a href="https://zenodo.org/record/3974113/files/2019_annotations.zip?download=1">here</a>).<br> * Import the manual annotations into the collated data file by re-running the <a href="https://zenodo.org/record/3973771/files/ImP_SQI_mimic_data_importer.m?download=1"><em>ImP_SQI_mimic_data_importer.m</em></a> script.<br> * Run <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_imp_sqi_mimic.m</em></a> to perform the analysis described in the publication.</p> <p><strong> - Submitted manuscript</strong></p> <p>The submitted manuscript is available <a href="https://zenodo.org/record/5211463/files/Impedance%20SQI%20manuscript%20-%20Oct%202020%20revision.docx?download=1">here</a>.</p> <p>The scripts are also stored (alongside details of how to use them) are available in the <a href="http://peterhcharlton.github.io/RRest/">RRest GitHub repository</a> at: <a href="https://github.com/peterhcharlton/RRest/tree/master/RRest_v3.0/Publication_Specific_Scripts/ImP_SQI">https://github.com/peterhcharlton/RRest/tree/master/RRest_v3.0/Publication_Specific_Scripts/ImP_SQI</a></p> <p>License: The dataset (<a href="https://zenodo.org/record/3974113/files/mimic_imp_sqi_data.mat?download=1"><em>mimic_imp_sqi_data.mat</em></a>) is distributed under the terms specified in the accompanying LICENSE file. The scripts are distributed under the GNU General Public Licence (as specified towards the start of each file).</p> <p>Version 1.0: This version includes the submitted manuscript.</p> <p> </p>
Assessing Functional Capacity in Directly and Remotely Monitored Home-based Settings: A Protocol for a Multinational Validation Study in Individuals With Chronic Respiratory Diseases
ClinicalTrials.gov study NCT06447831. IPD Sharing: UNDECIDED. Countries: 2. Publications: 1.
Acoustic Cough Monitoring for the Management of Patients With Known Respiratory Disease
ClinicalTrials.gov study NCT05042063. IPD Sharing: YES. Countries: 1. Publications: 14.
Comfort Evaluation of Non-Invasive Respiratory Monitor Interfaces
ClinicalTrials.gov study NCT01494844. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Postoperative Respiratory Monitoring After Neuraxial Opioid Administration for Cesarean Delivery
ClinicalTrials.gov study NCT02417038. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Non-invasive Respiratory Monitoring During SBT
ClinicalTrials.gov study NCT05295186. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Electrical Impedance Tomography Monitoring and Invasive Mechanical Ventilation During Pronation in Acute Respiratory Distress Syndrome.
ClinicalTrials.gov study NCT04605133. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Accuracy of the Welch Allyn ConnexSpot Monitor in Measuring Respiratory Rate in the Emergency Department
ClinicalTrials.gov study NCT07299968. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
Respiratory Rates - Accuracy of Contact-free Monitoring of Respiratory Rates
ClinicalTrials.gov study NCT03393585. IPD Sharing: NO. Countries: 1. Publications: 17.
Wearable Remote Monitoring of Heart Rate and Respiratory Rate for Heart Failure
ClinicalTrials.gov study NCT04455828. IPD Sharing: NO. Countries: 1. Publications: 13.
Wearable Wireless Respiratory Monitoring System That Detects and Predicts Opioid Induced Respiratory Depression
ClinicalTrials.gov study NCT06442488. IPD Sharing: NO. Countries: 1. Publications: 6.
The Value of Integrated Pulmonary Index Monitoring in Detecting Respiratory Events
ClinicalTrials.gov study NCT05356819. IPD Sharing: NO. Countries: 1. Publications: 4.
The Evaluation of a Noninvasive Respiratory Monitor in Intubated Infants
ClinicalTrials.gov study NCT02899351. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of End-tidal Oxygen Monitoring During Preoxygenation Before Intubation for Acute Hypoxemic Respiratory Failure in ICU Setting
ClinicalTrials.gov study NCT06198504. IPD Sharing: Not stated. Countries: 1. Publications: 12.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.