Version 1.0 - 12 November 2018
When referencing this material, please cite:
Please also include the standard citation for PhysioNet:
@article{PhysioNet, author = {Goldberger, Ary L. and Amaral, Luis A. N. and Glass, Leon and Hausdorff, Jeffrey M. and Ivanov, Plamen Ch. and Mark, Roger G. and Mietus, Joseph E. and Moody, George B. and Peng, Chung-Kang and Stanley, H. Eugene}, title = {{PhysioBank}, {PhysioToolkit}, and {PhysioNet}: Components of a New Research Resource for Complex Physiologic Signals}, journal = {Circulation}, publisher = {American Heart Association, Inc.}, volume = {101}, number = {23}, year = {2000}, month = {June}, pages = {e215--e220}, doi = {10.1161/01.CIR.101.23.e215}, issn = {0009-7322}, url = {http://circ.ahajournals.org/content/101/23/e215} }
Introduction
Functional metrics of autonomic control of heart rate, including baroreflex sensitivity, have been shown to be strongly associated with cardiovascular risk. A decrease in baroreflex sensitivity with aging is hypothesized to represent a contributing causal factor in the etiology of primary hypertension. To assess baroreflex function in human subjects, two complementary methods to simulate the response in heart rate elicited by the Valsalva maneuver were developed and applied to data obtained from a cohort of healthy normal volunteers.
Data Collection
Data was obtained from 27 participants excluding individuals with histories positive for inherited cardiomyopathy, valvular disease, aneurism, dissection, vascular surgery, pulmonary hypertension, connective tissue disease, or stroke. For each such normal healthy subject, baseline blood pressures were measured at 200 Hz during normal respiration prior to one or more instances of a forced expiration into a closed glottis (i.e Valsalva maneuver). The airway pressures achieved during expiration were measured at 10 Hz, with subjects instructed to maintain a pressure exceeding 30 mmHg for at least 10 seconds, though review of the data will show variability in each participant's results. Data collection of both blood and airway pressures continues throughout a recovery period subsequent to each Valsalva maneuver.
Files
The data for 27 subjects are presented here where for a given subject (e.g. norm001) two simultaneous recordings have been made. One is for the blood pressure obtained with a Finapres blood pressure monitor (e.g. norm001_BP) and the other is the thoracic pressure during three Valsalva maneuvers (e.g norm001_P). The thoracic pressure is measured by the subject breathing into a small closed chamber instrumented to measure the chamber pressure. The age and gender associated with each subject are found in the text file demographics.csv.
Contributors
This data was contributed by: Samuel A. Kosinski, Brian E. Carlson, Scott L. Hummel, Robert D. Brook and Daniel A. Beard.
Contact
For further information, please contact:
Brian Carlson
Department of Molecular and Integrative Physiology, University of Michigan
bcarl@umich.edu
Daniel Beard
Department of Molecular and Integrative Physiology, University of Michigan
beardda@umich.edu
Name Last modified Size Description
Parent Directory - DOI 2019-02-05 15:08 19 RECORDS 2018-11-12 13:04 567 list of record names demographics.csv 2018-11-12 13:04 251 norm001_BP.dat 2018-11-12 13:04 112K digitized signal(s) norm001_BP.hea 2018-11-12 13:04 178 header file norm001_P.dat 2018-11-12 13:04 5.6K digitized signal(s) norm001_P.hea 2018-11-12 13:04 180 header file norm002_BP.dat 2018-11-12 13:04 100K digitized signal(s) norm002_BP.hea 2018-11-12 13:04 178 header file norm002_P.dat 2018-11-12 13:04 5.0K digitized signal(s) norm002_P.hea 2018-11-12 13:04 177 header file norm003_BP.dat 2018-11-12 13:04 102K digitized signal(s) norm003_BP.hea 2018-11-12 13:04 176 header file norm003_P.dat 2018-11-12 13:04 5.1K digitized signal(s) norm003_P.hea 2018-11-12 13:04 175 header file norm004_BP.dat 2018-11-12 13:04 107K digitized signal(s) norm004_BP.hea 2018-11-12 13:04 178 header file norm004_P.dat 2018-11-12 13:04 5.3K digitized signal(s) norm004_P.hea 2018-11-12 13:04 178 header file norm005_BP.dat 2018-11-12 13:04 80K digitized signal(s) norm005_BP.hea 2018-11-12 13:04 176 header file norm005_P.dat 2018-11-12 13:04 4.0K digitized signal(s) norm005_P.hea 2018-11-12 13:04 178 header file norm006_BP.dat 2018-11-12 13:04 109K digitized signal(s) norm006_BP.hea 2018-11-12 13:04 177 header file norm006_P.dat 2018-11-12 13:04 5.4K digitized signal(s) norm006_P.hea 2018-11-12 13:04 180 header file norm007_BP.dat 2018-11-12 13:04 206K digitized signal(s) norm007_BP.hea 2018-11-12 13:04 179 header file norm007_P.dat 2018-11-12 13:04 10K digitized signal(s) norm007_P.hea 2018-11-12 13:04 180 header file norm008_BP.dat 2018-11-12 13:04 292K digitized signal(s) norm008_BP.hea 2018-11-12 13:04 179 header file norm008_P.dat 2018-11-12 13:04 15K digitized signal(s) norm008_P.hea 2018-11-12 13:04 181 header file norm009_BP.dat 2018-11-12 13:04 232K digitized signal(s) norm009_BP.hea 2018-11-12 13:04 178 header file norm009_P.dat 2018-11-12 13:04 12K digitized signal(s) norm009_P.hea 2018-11-12 13:04 181 header file norm010_BP.dat 2018-11-12 13:04 103K digitized signal(s) norm010_BP.hea 2018-11-12 13:04 178 header file norm010_P.dat 2018-11-12 13:04 5.2K digitized signal(s) norm010_P.hea 2018-11-12 13:04 179 header file norm011_BP.dat 2018-11-12 13:04 168K digitized signal(s) norm011_BP.hea 2018-11-12 13:04 178 header file norm011_P.dat 2018-11-12 13:04 8.4K digitized signal(s) norm011_P.hea 2018-11-12 13:04 178 header file norm012_BP.dat 2018-11-12 13:04 238K digitized signal(s) norm012_BP.hea 2018-11-12 13:04 177 header file norm012_P.dat 2018-11-12 13:04 12K digitized signal(s) norm012_P.hea 2018-11-12 13:04 181 header file norm013_BP.dat 2018-11-12 13:04 184K digitized signal(s) norm013_BP.hea 2018-11-12 13:04 176 header file norm013_P.dat 2018-11-12 13:04 9.2K digitized signal(s) norm013_P.hea 2018-11-12 13:04 180 header file norm014_BP.dat 2018-11-12 13:04 117K digitized signal(s) norm014_BP.hea 2018-11-12 13:04 176 header file norm014_P.dat 2018-11-12 13:04 5.8K digitized signal(s) 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PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.
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