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Medical Archives (Sarajevo, Bosnia and... Aug 2017Accidental murmurs occur in anatomically and physiologically normal heart. Accidental (innocent) murmurs have their own clearly defined clinical characteristics... (Review)
Review
INTRODUCTION
Accidental murmurs occur in anatomically and physiologically normal heart. Accidental (innocent) murmurs have their own clearly defined clinical characteristics (asymptomatic, they require minimal follow-up care).
AIM
To point out the significance of auscultation of the heart in the differentiation of heart murmurs and show clinical characteristics of accidental heart murmurs.
MATERIAL AND METHODS
Article presents review of literature which deals with the issue of accidental heart murmurs in the pediatric cardiology.
RESULTS
In the group of accidental murmurs we include classic vibratory parasternal-precordial Stills murmur, pulmonary ejection murmur, the systolic murmur of pulmonary flow in neonates, venous hum, carotid bruit, Potaine murmur, benign cephalic murmur and mammary souffle.
CONCLUSION
Accidental heart murmurs are revealed by auscultation in over 50% of children and youth, with a peak occurrence between 3-6 years or 8-12 years of life. Reducing the frequency of murmurs in the later period can be related to poor conduction of the murmur, although the disappearance of murmur in principle is not expected. It is the most common reason of cardiac treatment of the child, and is a common cause of unreasonable concern of parents.
Topics: Asymptomatic Diseases; Diagnosis, Differential; Heart; Heart Auscultation; Heart Murmurs; Heart Sounds; Humans
PubMed: 28974851
DOI: 10.5455/medarh.2017.71.284-287 -
Revue Medicale de Liege May 2023Cardiac erethism is a state of hyperexcitability of the heart. It results in hyperpulsatility, which is characterized by an ample pulse, an accentuation of heart sounds...
Cardiac erethism is a state of hyperexcitability of the heart. It results in hyperpulsatility, which is characterized by an ample pulse, an accentuation of heart sounds on auscultation, and an exaggeration of heart movements on echocardiography. While it can be very troublesome, cardiac erethism has no pathological significance. However, care must be taken to exclude any underlying cardiac or extracardiac pathology before confirming the diagnosis. No treatment is usually considered except to reassure the patient and avoid contributing factors. Beta-blockers are effective and should be prescribed on a case-by-case basis.
Topics: Humans; Heart; Echocardiography; Auscultation
PubMed: 37350212
DOI: No ID Found -
British Medical Journal Jul 1954
Topics: Heart Murmurs; Heart Sounds; Phonocardiography; Sound
PubMed: 13160513
DOI: 10.1136/bmj.2.4878.9 -
Patterns (New York, N.Y.) Jan 2022Data labeling is often the limiting step in machine learning because it requires time from trained experts. To address the limitation on labeled data, contrastive...
Data labeling is often the limiting step in machine learning because it requires time from trained experts. To address the limitation on labeled data, contrastive learning, among other unsupervised learning methods, leverages unlabeled data to learn representations of data. Here, we propose a contrastive learning framework that utilizes metadata for selecting positive and negative pairs when training on unlabeled data. We demonstrate its application in the healthcare domain on heart and lung sound recordings. The increasing availability of heart and lung sound recordings due to adoption of digital stethoscopes lends itself as an opportunity to demonstrate the application of our contrastive learning method. Compared to contrastive learning with augmentations, the contrastive learning model leveraging metadata for pair selection utilizes clinical information associated with lung and heart sound recordings. This approach uses shared context of the recordings on the patient level using clinical information including age, sex, weight, location of sounds, etc. We show improvement in downstream tasks for diagnosing heart and lung sounds when leveraging patient-specific representations in selecting positive and negative pairs. This study paves the path for medical applications of contrastive learning that leverage clinical information. We have made our code available here: https://github.com/stanfordmlgroup/selfsupervised-lungandheartsounds.
PubMed: 35079716
DOI: 10.1016/j.patter.2021.100400 -
Biomedical Engineering Online Jul 2015Most heart diseases are associated with and reflected by the sounds that the heart produces. Heart auscultation, defined as listening to the heart sound, has been a very... (Review)
Review
Most heart diseases are associated with and reflected by the sounds that the heart produces. Heart auscultation, defined as listening to the heart sound, has been a very important method for the early diagnosis of cardiac dysfunction. Traditional auscultation requires substantial clinical experience and good listening skills. The emergence of the electronic stethoscope has paved the way for a new field of computer-aided auscultation. This article provides an in-depth study of (1) the electronic stethoscope technology, and (2) the methodology for diagnosis of cardiac disorders based on computer-aided auscultation. The paper is based on a comprehensive review of (1) literature articles, (2) market (state-of-the-art) products, and (3) smartphone stethoscope apps. It covers in depth every key component of the computer-aided system with electronic stethoscope, from sensor design, front-end circuitry, denoising algorithm, heart sound segmentation, to the final machine learning techniques. Our intent is to provide an informative and illustrative presentation of the electronic stethoscope, which is valuable and beneficial to academics, researchers and engineers in the technical field, as well as to medical professionals to facilitate its use clinically. The paper provides the technological and medical basis for the development and commercialization of a real-time integrated heart sound detection, acquisition and quantification system.
Topics: Electrical Equipment and Supplies; Heart Sounds; Humans; Signal Processing, Computer-Assisted; Smartphone; Stethoscopes
PubMed: 26159433
DOI: 10.1186/s12938-015-0056-y -
Postgraduate Medical Journal Jul 2015Doctors are taught to auscultate with the stethoscope applied to the skin, but in practice may be seen applying the stethoscope to the gown.
BACKGROUND
Doctors are taught to auscultate with the stethoscope applied to the skin, but in practice may be seen applying the stethoscope to the gown.
OBJECTIVES
To determine how often doctors auscultate heart and breath sounds through patients' gowns, and to assess the impact of this approach on the quality of the sounds heard.
METHODS
A sample of doctors in the west of Scotland were sent an email in 2014 inviting them to answer an anonymous questionnaire about how they auscultated heart and breath sounds. Normal heart sounds from two subjects were recorded through skin, through skin and gown, and through skin, gown and dressing gown. These were played to doctors, unaware of the origin of each recording, who completed a questionnaire about the method and quality of the sounds they heard.
RESULTS
206 of 445 (46%) doctors completed the questionnaire. 124 (60%) stated that they listened to patients' heart sounds, and 156 (76%) to patients' breath sounds, through patients' gowns. Trainees were more likely to do this compared with consultants (OR 3.39, 95% CI 1.74 to 6.65). Doctors of all grades considered this practice affected the quality of the sounds heard. 32 doctors listened to the recorded heart sounds. 23 of the 64 (36%) skin and 23 of the 64 (36%) gown recordings were identified. The majority of doctors (74%) could not differentiate between skin or gown recordings, but could tell them apart from the double layer recordings (p=0.02). Trainees were more likely to hear artefactual added sounds (p=0.04).
CONCLUSIONS
Many doctors listen to patients' heart and breath sounds through hospital gowns, at least occasionally. In a short test, most doctors could not distinguish between sounds heard through a gown or skin. Further work is needed to determine the impact of this approach to auscultation on the identification of murmurs and added sounds.
Topics: Clinical Competence; Heart Auscultation; Heart Sounds; Humans; Internship and Residency; Reproducibility of Results; Respiratory Sounds; Scotland; Stethoscopes; Surveys and Questionnaires
PubMed: 26183342
DOI: 10.1136/postgradmedj-2015-133321 -
Scientific Reports Jul 2018This paper introduces heart sound detection by radar systems, which enables touch-free and continuous monitoring of heart sounds. The proposed measurement principle... (Comparative Study)
Comparative Study
This paper introduces heart sound detection by radar systems, which enables touch-free and continuous monitoring of heart sounds. The proposed measurement principle entails two enhancements in modern vital sign monitoring. First, common touch-based auscultation with a phonocardiograph can be simplified by using biomedical radar systems. Second, detecting heart sounds offers a further feasibility in radar-based heartbeat monitoring. To analyse the performance of the proposed measurement principle, 9930 seconds of eleven persons-under-tests' vital signs were acquired and stored in a database using multiple, synchronised sensors: a continuous wave radar system, a phonocardiograph (PCG), an electrocardiograph (ECG), and a temperature-based respiration sensor. A hidden semi-Markov model is utilised to detect the heart sounds in the phonocardiograph and radar data and additionally, an advanced template matching (ATM) algorithm is used for state-of-the-art radar-based heartbeat detection. The feasibility of the proposed measurement principle is shown by a morphology analysis between the data acquired by radar and PCG for the dominant heart sounds S1 and S2: The correlation is 82.97 ± 11.15% for 5274 used occurrences of S1 and 80.72 ± 12.16% for 5277 used occurrences of S2. The performance of the proposed detection method is evaluated by comparing the F-scores for radar and PCG-based heart sound detection with ECG as reference: Achieving an F1 value of 92.22 ± 2.07%, the radar system approximates the score of 94.15 ± 1.61% for the PCG. The accuracy regarding the detection timing of heartbeat occurrences is analysed by means of the root-mean-square error: In comparison to the ATM algorithm (144.9 ms) and the PCG-based variant (59.4 ms), the proposed method has the lowest error value (44.2 ms). Based on these results, utilising the detected heart sounds considerably improves radar-based heartbeat monitoring, while the achieved performance is also competitive to phonocardiography.
Topics: Algorithms; Biophysical Phenomena; Computer Simulation; Electrocardiography; Heart; Heart Rate; Heart Sounds; Humans; Markov Chains; Models, Theoretical; Monitoring, Physiologic; Phonocardiography; Radar; Respiration; Signal Processing, Computer-Assisted; Vital Signs
PubMed: 30068983
DOI: 10.1038/s41598-018-29984-5 -
California Medicine Mar 1961In phonocardiography the second heart sound is important in appraisal of congenital heart disease and pulmonary hypertension because it reflects the duration of right...
In phonocardiography the second heart sound is important in appraisal of congenital heart disease and pulmonary hypertension because it reflects the duration of right ventricular systoles. The systolic murmur in patients with intracardiac shunt decreases as pulmonary hypertension develops, and may eventually disappear completely as the pulmonary pressure reaches systemic level. Reference tracings in phonocardiography are useful for showing the interrelationship of the various cardiac sounds and murmurs.
Topics: Heart Defects, Congenital; Heart Murmurs; Heart Sounds; Humans; Hypertension, Pulmonary; Phonocardiography; Systole; Systolic Murmurs
PubMed: 13722948
DOI: No ID Found -
Circulation Journal : Official Journal... Jan 2018The 4th heart sound (S4) is commonly heard in patients with hypertrophic cardiomyopathy (HCM). The 3rd heart sound (S3) is also audible in HCM patients regardless of the...
BACKGROUND
The 4th heart sound (S4) is commonly heard in patients with hypertrophic cardiomyopathy (HCM). The 3rd heart sound (S3) is also audible in HCM patients regardless of the presence or absence of heart failure. These extra heart sounds may be associated with myocardial fibrosis because myocardial fibrosis has been suggested to affect left ventricular compliance.Methods and Results:The present retrospective study evaluated 53 consecutive HCM patients with sinus rhythm who had no symptoms of heart failure and underwent an initial assessment including phonocardiography, echocardiography, and late gadolinium enhancement (LGE) magnetic resonance imaging (MRI). S3 was detected on phonocardiography in 13% of all patients, and S4 was recorded in 75% of patients. Patients with S3 had a higher incidence of LGE and larger LGE volumes (86% and 11.5±2.4 g/cm, respectively) than patients without S3 (33% and 2.5±0.8 g/cm, respectively; P=0.02 and P=0.002). The presence of S4 was not associated with MRI findings, including the incidence of LGE and LGE volume. The diagnostic value of S3 for the detection of LGE was highly specific (97%), with a low sensitivity (29%).
CONCLUSIONS
Myocardial fibrosis, as assessed by LGE, was associated with S3 but not with S4 in patients with HCM. These results may contribute to the risk stratification of patients with HCM.
Topics: Adult; Aged; Aged, 80 and over; Cardiomyopathy, Hypertrophic; Female; Fibrosis; Gadolinium; Heart Sounds; Humans; Magnetic Resonance Imaging, Cine; Male; Middle Aged; Myocardium; Retrospective Studies; Risk Assessment
PubMed: 28924076
DOI: 10.1253/circj.CJ-17-0650