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Biosensors 2017, 7(3), 40; doi:10.3390/bios7030040

Use of Wavelet Transform to Detect Compensated and Decompensated Stages in the Congestive Heart Failure Patient

1
ECEE, University of Colorado, Boulder, CO 80309, USA
2
Medicine-Cardiology, School of Medicine, University of Colorado, Denver, CO 80204
*
Author to whom correspondence should be addressed.
Received: 24 August 2017 / Revised: 12 September 2017 / Accepted: 16 September 2017 / Published: 20 September 2017
(This article belongs to the Special Issue Latest Wearable Biosensors)
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Abstract

This research work is aimed at improving health care, reducing cost, and the occurrence of emergency hospitalization in patients with Congestive Heart Failure (CHF) by analyzing heart and lung sounds to distinguish between the compensated and decompensated states. Compensated state defines stable state of the patient but with lack of retention of fluids in lungs, whereas decompensated state leads to unstable state of the patient with lots of fluid retention in the lungs, where the patient needs medication. Acoustic signals from the heart and the lung were analyzed using wavelet transforms to measure changes in the CHF patient’s status from the decompensated to compensated and vice versa. Measurements were taken on CHF patients diagnosed to be in compensated and decompensated states by using a digital stethoscope and electrocardiogram (ECG) in order to monitor their progress in the management of their disease. Analysis of acoustic signals of the heart due to the opening and closing of heart valves as well as the acoustic signals of the lungs due to respiration and the ECG signals are presented. Fourier, short-time Fourier, and wavelet transforms are evaluated to determine the best method to detect shifts in the status of a CHF patient. The power spectra obtained through the Fourier transform produced results that differentiate the signals from healthy people and CHF patients, while the short-time Fourier transform (STFT) technique did not provide the desired results. The most promising results were obtained by using wavelet analysis. Wavelet transforms provide better resolution, in time, for higher frequencies, and a better resolution, in frequency, for lower frequencies. View Full-Text
Keywords: acoustic signals of heart and lungs; congestive heart failure; compensated and decompensated; wavelet transform acoustic signals of heart and lungs; congestive heart failure; compensated and decompensated; wavelet transform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sharma, P.; Newman, K.; Long, C.S.; Gasiewski, A.J.; Barnes, F. Use of Wavelet Transform to Detect Compensated and Decompensated Stages in the Congestive Heart Failure Patient. Biosensors 2017, 7, 40.

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