Literature DB >> 6708485

Spectral analysis of heart sounds: relationships between some physical characteristics and frequency spectra of first and second heart sounds in normals and hypertensives.

P J Arnott, G W Pfeiffer, M E Tavel.   

Abstract

Frequency analysis of heart sounds has been gaining recognition as a possible indicator of several heart and valve diseases, although a comprehensive study of normal heart sounds has not been published. Relating the frequency content of normal heart sounds to certain physical characteristics surrounding the generation of these sounds could lead to a valuable diagnostic tool and give a better understanding of the mechanism of heart sounds production. In this study, the first and second heart sounds from seventy-four normal, and seven hypertensive volunteers were recorded, digitized and analysed using a Fast Fourier Transform algorithm. Statistical analysis was used to relate physical characteristics (sex, blood pressure, and body surface area) of the subjects to the frequency content of normal heart sounds and to compare normal and hypertensive heart sounds. Statistical analysis showed that the major concentration of energy, for both first heart sound (S1) and second heart sound (S2), is below 150 Hertz (Hz) which may indicate that both sounds are caused by vibrations within the same structure, possibly the entire heart. However S2 spectra have greater amplitude than S1 spectra above 150 Hz, which may be due to vibrations within the aorta and pulmonary artery. Relationships observed between body surface area, sex, blood pressure, and the frequency content of heart sounds indicate that as heart size increases, the amplitude of the frequency coefficients above 150 Hz decreases. These observations were more identifiable in the S1 spectra than in the S2 spectra, possibly because the S2 higher frequency components may mask subtle changes in the S2 spectra caused by heart size changes. However, when the changes in heart size are significant, as in hypertension or increased body surface area, trends in the S2 spectra can be observed.

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Year:  1984        PMID: 6708485     DOI: 10.1016/0141-5425(84)90054-2

Source DB:  PubMed          Journal:  J Biomed Eng        ISSN: 0141-5425


  4 in total

1.  Precision wearable accelerometer contact microphones for longitudinal monitoring of mechano-acoustic cardiopulmonary signals.

Authors:  Pranav Gupta; Mohammad J Moghimi; Yaesuk Jeong; Divya Gupta; Omer T Inan; Farrokh Ayazi
Journal:  NPJ Digit Med       Date:  2020-02-12

2.  An automated tool for localization of heart sound components S1, S2, S3 and S4 in pulmonary sounds using Hilbert transform and Heron's formula.

Authors:  Ashok Mondal; Parthasarathi Bhattacharya; Goutam Saha
Journal:  Springerplus       Date:  2013-10-05

3.  Precision wearable accelerometer contact microphones for longitudinal monitoring of mechano-acoustic cardiopulmonary signals.

Authors:  Pranav Gupta; Mohammad J Moghimi; Yaesuk Jeong; Divya Gupta; Omer T Inan; Farrokh Ayazi
Journal:  NPJ Digit Med       Date:  2020-02-12

4.  Arterial pressure changes monitoring with a new precordial noninvasive sensor.

Authors:  Tonino Bombardini; Vincenzo Gemignani; Elisabetta Bianchini; Lucia Venneri; Christina Petersen; Emilio Pasanisi; Lorenza Pratali; Mascia Pianelli; Francesco Faita; Massimo Giannoni; Giorgio Arpesella; Eugenio Picano
Journal:  Cardiovasc Ultrasound       Date:  2008-08-21       Impact factor: 2.062

  4 in total

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