Intelligent Stethoscope

Intelligent Stethoscope

B Buvaneshwari, NA Rohinee, Sahana Roopkumar, Prabhu Ravikala Vittal
Copyright: © 2014 |Pages: 8
DOI: 10.4018/ijbce.2014010107
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Abstract

Heart valve disorders are primarily detected by auscultation, technique of listening to heart sounds. A more modern form of this technique is phonocardiography, concerned with the automated acoustic recording and processing of heart sounds.This paper presents a method that aims at development of an algorithm to detect common heart valve disorders by processing heart sounds and provision of easy access to patient data via the Internet. The proposed method uses thresholding techniques to determine certain criteria which can detect whether a heart sound recording belongs to a person suffering from valvular heart disease or not, by giving ‘diseased' or ‘not diseased' decisions (S. Ari, K. Sensharma, G. Saha, 2008). The recording in case of a ‘diseased' condition is transmitted to the hospital information system via the Internet, wherein it can be further analyzed by a doctor to diagnose the disease.
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Methods And Methodology

In the present approach, the computer assisted analysis system has stages for Signal acquisition, Signal Processing and Signal Transmission (See Figure 1).

Figure 1.

Block diagram of the implementation

ijbce.2014010107.f01

Signal Acquisition

A Digital Electronic Stethoscope used to record in the Bell mode and an open source software, Thinklabs Phonocardiography ease the recording of heart sounds devoid of interferences. Acquisition adds on external noises such as ambient noise, as well as internal body noises, breathing noises and speech to the heart sounds. This necessitates the conditioning of recorded signals by a low pass IIR filter with a cut off frequency of 1 kHz, a built in function in the recording software to remove the recording hiss (Thinklabs Digital Stethoscopes). Heart sounds being periodic, information contained in it is repetitive. Typical heart cycle duration varies in the range of 0.46-1.2 seconds. Hence, a signal of 3 seconds which accommodates at least one heart cycle is sufficient for this analysis (S. Ari, K. Sensharma, & G. Saha, 2008).

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