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93 results for “respiratory rate”
Figure 2 in Oxygen consumption rates and respiratory carbon losses in three species of copepods (Acartia clausi, Calanus helgolandicus and Limnocalanus macrurus) during starvation
Figure 2. Changes in Total (Ɣ, black lines), Basal (ż,blue lines) and Active (Ÿ, red lines) respiration in the Marmara Sea copepods Acartia clausi (A) and Calanus helgolandicus (B), and the Baltic Sea Limnocalanus macrurus (C) during starvation. Low-case letters (a, b and c) are the significant variable differences from Duncan's multiple range test (DMRT), p <0.05.
Figure 1 in Oxygen consumption rates and respiratory carbon losses in three species of copepods (Acartia clausi, Calanus helgolandicus and Limnocalanus macrurus) during starvation
Figure 1. Acartia clausi (a), Limnocalanus macrurus (b) and Calanus helgolandicus (c). Arrows indicate anterior (1) and posterior (2) oil sacs of L. macrurus and oil sac of C. helgolandicus (3).
BIDMC Respiratory Rate Dataset (32 seconds window)
<p>This dataset is part of the Monash, UEA & UCR time series regression repository. <a href="http://tseregression.org/">http://tseregression.org/</a></p> <p><br> The goal of this dataset is to estimate respiratory rate using PPG and ECG data. This dataset contains 7949 time series obtained from the Physionet's BIDMC PPG and Respiration dataset, which was extracted from the much larger MIMIC II waveform database.<br> <br> Please refer to <a href="https://physionet.org/content/bidmc/1.0.0/">https://physionet.org/content/bidmc/1.0.0/</a> for more details<br> <br> Relevant papers<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> <br> Citation request<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.</p>
Sample Raw (PPG, Accel, and Gyro) and Processed (steps, calories, sleep, HR, HRV, SPO2, Respiratory Rate, R-R) data over 24 hours
<p>Over the course of 24 hours, we collected raw (Photoplethysmography (PPG), Acceleration, and Gyro) and processed (steps, calories, sleep, HR, HRV, SPO2, Respiratory Rate, R-R) data samples. Biostrap approaches health insights from a data-driven perspective. Our clinical-grade hardware enables users to accurately track SpO2, HRV, RHR, and a variety of other biometrics with confidence.</p>
Decoding olfactory bulb output: A Behavioural assessment of rate, synchrony, and respiratory phase coding
Open the record for dataset details and reuse information.
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>
CHANGES IN THE SENSITIZATION RATES FOR VARIOUS RESPIRATORY AND FOOD ALLERGENS BY AGE
<p>Numerical information about sensitization rate for all the allergens.</p>
Influence of Respiratory Rate Settings on CO2 Levels During Nasal Intermittent Positive Pressure Ventilation (NIPPV).
ClinicalTrials.gov study NCT04836689. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Pulmonary Vascular Effects of Respiratory Rate & Carbon Dioxide
ClinicalTrials.gov study NCT01927237. IPD Sharing: NO. Countries: 1. Publications: 5.
Assessment of Physiological Parameters Measurements (Heart Rate, Respiratory Rate, and Oxygen Saturation) by Standard Acquisition System Compared Remote Photoplethysmography Imaging System l
ClinicalTrials.gov study NCT04660318. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Respiratory Rate After Cesarean Delivery
ClinicalTrials.gov study NCT04250233. IPD Sharing: NO. Countries: 1. Publications: 0.
Factors Associated With Obesity in Adult Women: Respiratory Exchange Ratio, Heart Rate Variation and Body Image
ClinicalTrials.gov study NCT04029532. IPD Sharing: UNDECIDED. Countries: 1. Publications: 71.
Impact of Decreasing Respiratory Rate on Lung Injury Biomarkers in ARDS Patients
ClinicalTrials.gov study NCT04641897. IPD Sharing: NO. Countries: 1. Publications: 1.
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.
Clinical Validation of a Novel, Accelerometer Based, Continuous Respiratory Rate Sensor
ClinicalTrials.gov study NCT06911541. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
To Observe Haemodynamic Parameters Including, Heart Rate, Blood Pressure, Respiratory Rate , and Oxygen Saturation, With or Without Giving Reversal Agent on Extubation, in Patients Receiving Single Sh
ClinicalTrials.gov study NCT07097441. IPD Sharing: NO. Countries: 1. Publications: 17.
Respiratory Rates - Accuracy of Contact-free Monitoring of Respiratory Rates
ClinicalTrials.gov study NCT03393585. IPD Sharing: NO. Countries: 1. Publications: 17.
Validation of Respiratory Rate and Heart Rate Measurements by Capaciflectors Placed in Four Locations on the Chest
ClinicalTrials.gov study NCT03832205. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Wearable Remote Monitoring of Heart Rate and Respiratory Rate for Heart Failure
ClinicalTrials.gov study NCT04455828. IPD Sharing: NO. Countries: 1. Publications: 13.
Impact of Current Volume Under High-rate Nasal Oxygen Therapy During Acute Hypoxemic Respiratory Failure de Novo
ClinicalTrials.gov study NCT03919331. IPD Sharing: NO. Countries: 1. Publications: 11.
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International Brain Laboratory public data
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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.