Variation of Korotkoff stethoscope sounds

Description
Results from 140 subjects. For each subject, blood pressure was measured, and the position of the Korotkoff sound for both systolic (SBP) and diastolic (DBP) blood pressure identified relative to the actual clinical SBP and DBP beats for each subject. The Korotkoff beats were identified using a computer Convolutional Neural Network (CNN) algorithm.
Keywords
Blood pressure, Convolutional neural network
Publisher
Newcastle University
Publication Year
2017
Date Available
11/07/2017
Creators
Murray, A; Zheng, D
Location
Citation
Murray, A; Zheng, D (2017): Variation of Korotkoff stethoscope sounds. Newcastle University. http://dx.doi.org/10.17634/102026-4
Declaration
Data supporting this publication is openly available under an 'Open Data Commons Open Database License'. Additional metadata are available at: http://dx.doi.org/10.17634/102026-4. Please contact Newcastle Research Data Service at rdm@ncl.ac.uk for access instructions.
DOI
10.17634/102026-4