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Automated Phonocardiographic Screening for Heart Disease in Children
Abstract
Mass screening for heart disease in children can be accomplished by automatic analysis of phonocardiograms (PCG) obtained from five routine auscultation points. An ECG signal serves as reference. PCG signals exceeding 20% of the amplitude of the first heart sound S<sub>1</sub> in the diastolic interval and 40% of S<sub>1</sub> in the systolic interval are considered as abnormal. Signals in the systolic interval with an amplitude between 20 and 40% of S<sub>1</sub> are classified as normal if their duration is less than two-thirds of the interval from the first to second heart sound. Thus, the method takes into account innocent murmurs and classifies them as normal. The splitting of the second sound is detected by monitoring its duration at a level of 20% of S<sub>1</sub>. This method was tested on 2,583 children aged from 3 to 14 years and on 345 children with proven heart disease. The results obtained showed a sensitivity of 96.5% and a specificity of 92.4%.
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169876 Cardiology 1978;63:5–13Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.