Wireless PC-based phonocardiograph and diagnosis
- Published
- Accepted
- Subject Areas
- Bioengineering, Computational Biology
- Keywords
- Auscultation, S1, Diagnostic parameters, Heart sounds, Signal processing, S2, Wireless, Phonocardiograph
- Copyright
- © 2014 Dao
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2014. Wireless PC-based phonocardiograph and diagnosis. PeerJ PrePrints 2:e559v1 https://doi.org/10.7287/peerj.preprints.559v1
Abstract
Auscultation is used to evaluate heart health and can indicate when it's needed to refer a patient to a cardiologist. Advanced PCG signal processing algorithms are developed to assist the physician in the initial diagnosis but they are primarily designed and demonstrated with research quality equipment. Therefore there is a need to demonstrate the applicability of those techniques with consumer grade instrument. Furthermore, routine monitoring would benefit from a wireless PCG sensor that allows continuous monitoring of cardiac signals of patients in physical activity, e.g., treadmill or weight exercise. In this work, a low-cost portable and wireless healthcare monitoring system based on phonocardiograph signal is implemented to validate and evaluate the most advanced algorithms. Off-the-shelf electronics and a notebook PC are used with MATLAB codes to record and analyze PCG signals which are collected with a notebook computer in tethered and wireless mode. High valued diagnostics based on the S1 and S2 signals and MATLAB codes are demonstrated. While the prototype is based on MATLAB, the later is not an absolute requirement.
Author Comment
This paper is prepared with the author's intent to submit it for peer review in the PeerJ journal. The work was started while I was enrolled at Amherst College, MA.