This is a group research project. We worked on signal processing techniques to derive respiratory signal out of the ECG signal. There were no methods of direct ambulatory monitoring of respiration over long hours that were non-intrusive. During inspiration, the apex of the heart is stretched towards the abdomen as the lungs fill up, and the diaphragm shifts down. During expiration, the elevation of the diaphragm, which helps the emptying of the lungs, compresses the apex of the heart toward chest. These anatomical influences of respiration result in apparent amplitude modulation in the ECG signal. This amplitude modulation in ECG signal is studied to derive Respiratory signals. The different methods studied were:
Each of the methods were implemented using Matlab. You may refer to the report for algorithm details and code.
Reflections: There was one time I use to code, program... not for front end but for signal processing. But then, I grew more towards humanities to design. And now its been a long time that I programmed anything serious but few buttons in flash or HTML. This quarter (Fall 2009) I am making a serious attempt to getting back to it taking INFO343 - Web Technologies, and I am very excited about that. Anyways back to talking about signals... I naturally loved signals and systems and all the Fourier and Laplace transforms since I like maths. I figured why I like maths and design is because, I like to solve problems based on logic without having to memorize huge chunks of facts. Anyways, now if you quiz me on these fancy transforms I might fail. But what I bring to design from these experiences is: ability to understand in terms of numbers, and the love for seeing patterns, effects and relationships in huge chunks of data.
Copyright © 2010 Pallavi Damera. All rights reserved.