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Development of a Digital Auscultation Device for real time
Murmur Detection
Tanvi Kalra*1, Abhinav2 and Sneh Anand2
1
Department of Biomedical Engineering, Rayat & Bahra Institute of Engineering & BioTechnology, Punjab
2 Centre for Biomedical Engineering, Indian Institute of Technology – Delhi
________________________________________________________________________________________
ABSTRACT
This paper deals with the development of a digital auscultation device using a second order
butterworth filter to reduce the ambient noise. The system was developed by modifying a traditional
stethoscope, an electret microphone and an amplifier circuit. Using audacity software the signal
was plotted in real time for detection of murmurs. This low cost system developed provides
improved diagnosis of heart sounds (lubb-dup i.e.S1, S2). The system is powered using batteries
and hence makes it portable.
Keywords: Digital Auscultation Device, murmur detection, heart sound.
INTRODUCTION
Detection of subtle heart sounds requires a lot of training and doctor learn it over years of practice.
Moreover the ambient noise in the hospital results in doctors missing on those few subtle sounds of
the heart. For a reliable diagnosis, a portable digital auscultation device has been developed which
not only amplifies the heart signal for clear audibility but also removes out ambient noise using
second order butterworth filter with frequency range (50-600Hz) for diaphragm mode.
The data is also plotted on a computer in real time for visual interpretation of the signals and
visualising and comparing the signals with the previous values. Offline signal processing can also
help provide an insight to the signal captured using the device.
METHODOLOGY
For the development of this system integration of the traditional stethoscope, an electret
microphone, an amplifier circuit, second order band pass filter and audacity software. Figure 1
shows block diagram of the developed system.
1. Electret microphone – the signal from the stethoscope was picked up through the
microphone. The frequency response of the microphone is 30 Hz - 10 KHz.
Figure 1: block diagram of the digital auscultation device
Figure 2: (a) – traditional stethoscope, (b) – hardware circuit, (c) – compatible earphones,
(d) – connecting cable, (e) – plotted heart sounds.
2. Amplifier circuit – linear op-amps has been used and the gain of 20 is set to amplify the
signal in the pre-amplifier stage.
3. Buffers – buffers are used in between for removing the loading effects.
4. Filters – second order butterworth band pass filter was designed keeping the frequency
range from 50 Hz – 600 Hz i.e. the range for diaphragm mode
5. Output – potentiometers are used for volume control and gain control in the respective jack.
 Jack 1 – Audible signal (through earphones)
 Jack 2 – Plotted signal (connector wire to the computer)
6. Software – the software used for the plotting of the signal is AUDACITY that is compatible
with the developed system.
Figure 3: heart sounds of healthy and unhealthy subjects
RESULTS AND DISCUSSION
The system developed shows promising results and has proved to be a beneficial device for
cardiologists and for various other clinical assessments. An effort is in progress to make the system
automated for murmur detection. Figure 3 shows the plot of heart sounds of different subjects.
REFERENCES
1.Heart Sound Measurement and Analysis System with Digital Stethoscope
Haibin Wang; Jian Chen; Yuliang Hu; Zhongwei Jiang; Choi Samjin; Biomedical Engineering and
Informatics, 2009. BMEI '09. 2nd International Conference on
Digital Object Identifier: 10.1109/BMEI.2009.5305287
Publication Year: 2009 , Page(s): 1 - 5
2. The embedded digital stethoscope uses the adaptive noise cancellation filter
and the type I Chebyshev IIR bandpass filter to reduce the noise of the heart
sound
Ying-Wen Bai; Chao-Lin Lu;
Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings
of 7th International Workshop on
Publication Year: 2005 , Page(s): 278 - 281
3. Design and implementation of a remote embedded DSP stethoscope with a
method for judging heart murmur
Ying-Wen Bai; Cheng-Hsiang Yeh;
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Digital Object Identifier: 10.1109/IMTC.2009.5168706
Publication Year: 2009 , Page(s): 1580 - 1585
4. Segmentation of heart sound recordings from an electronic stethoscope by a
duration dependent Hidden-Markov Model
Schmidt, S.E.; Toft, E.; Holst-Hansen, C.; Graff, C.; Struijk, J.J.;
Computers in Cardiology, 2008
Digital Object Identifier: 10.1109/CIC.2008.4749049
Publication Year: 2008 , Page(s): 345 - 348
5. Analysis and classification of heart sounds and murmurs based on the
instantaneous energy and frequency estimations
Sharif, Z.; Zainal, M.S.; Sha'ameri, A.Z.; Salleh, S.H.S.;
TENCON 2000. Proceedings
Volume: 2
Digital Object Identifier: 10.1109/TENCON.2000.888404
Publication Year: 2000 , Page(s): 130 - 134 vol.2
6.Recursive least squares adaptive noise cancellation filtering for heart sound
reduction in lung sounds recordings
Gnitecki, J.; Moussavi, Z.; Pasterkamp, H.;
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International
Conference of the IEEE
Volume: 3
Digital Object Identifier: 10.1109/IEMBS.2003.1280403
Publication Year: 2003 , Page(s): 2416 - 2419 Vol.3
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* Corresponding Author’s e-mail: [email protected]