Abstract
Oscillometry is the most widely used method to determine blood pressure due to its simplicity. The method requires an inflatable cuff and a pressure sensor. The cuff is generally placed around arm so that it occludes brachial artery. The pressure sensor measures the pressure inside the cuff during an inflation or deflation. The goal of the oscillometry is to observe the oscillations during the cuff inflation or deflation. The oscillations occur at every heart beat or physical movement of the patient. The oscillations measured this way are used in some algorithms to compute the blood pressure. This paper focuses on the visualization and simulation of these oscillometric waveforms obtained by different cuff deflations.
Original language | English (US) |
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Pages (from-to) | 497-500 |
Number of pages | 4 |
Journal | Canadian Conference on Electrical and Computer Engineering |
Volume | 1 |
State | Published - 2004 |
Event | Canadian Conference on Electrical and Computer Engineering; Technology Driving Innovation, 2004 - Niagara Falls, Canada Duration: May 2 2004 → May 5 2004 |
Keywords
- Neural network
- Oscillometry
- Simulation
ASJC Scopus subject areas
- Hardware and Architecture
- Electrical and Electronic Engineering