Cardiac Auscultation: Rediscovering the Lost Art

Chizner, Michael A.

doi:10.1016/j.cpcardiol.2008.03.003

Cited by 113 publications

(92 citation statements)

References 109 publications

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“…Each beat consists of four parts: S1 sound, systole, S2 sound, and diastole [3]. Other extra sounds found in a heart sound signal (clicks, snaps, murmurs, etc.)…”

Section: Methodsmentioning

confidence: 99%

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Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context

et al. 2017

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There has been a sustained effort in the research community over the recent years to develop algorithms that automatically analyze heart sounds. One of the major challenges is identifying primary heart sounds, S1 and S2, as they represent reference events for the analysis. The study presented in this paper analyzes the possibility of improving the structure characterization based on shape context and structure assessment using a small number of descriptors. Particularly, for the primary sound characterization, an adaptive waveform filtering is applied based on blanket fractal dimension for each preprocessed sound candidate belonging to pediatric subjects. This is followed by applying the shape based methods selected for the structure assessment of primary heart sounds. Different methods, such as the fractal ones, are used for the comparison. The analysis of heart sound patterns is performed using support vector machine classifier showing promising results (above 95% accuracy). The obtained results suggest that it is possible to improve the identification process using the shape related methods which are rarely applied. This can be helpful for applications involving automatic heart sound analysis.

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“…Each beat consists of four parts: S1 sound, systole, S2 sound, and diastole [3]. Other extra sounds found in a heart sound signal (clicks, snaps, murmurs, etc.)…”

Section: Methodsmentioning

confidence: 99%

“…One of the major concerns in heart sound analysis is to identify the first (S1) and the second (S2) heart sound [3]. Their proper identification is of key importance for interpretation of other signal's components, such as extra sounds and murmurs found between the fundamental sounds, in systole (S1-S2) and diastole (S2-S1) intervals.…”

Section: Introductionmentioning

confidence: 99%

Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context

et al. 2017

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“…This is for a very good reason as cardiac auscultation is a high fidelity and cost effective way of diagnosing patients with cardiac pathology (Chizenr, 2008). Especially in today's healthcare landscape where more physician encounters take place in the outpatient setting with limited accessibility to immediate cardiac imaging, it is clinically relevant and essential for physicians to accurately diagnose patients using cardiac auscultation (Chizner, 2008). As such, cardiac auscultation is a skill that physicians in training must master.…”

Section: Introduction Introductionmentioning

confidence: 99%

“…Unfortunately, with the advent of higher technology to diagnose cardiac pathology, the resources allotted for teaching cardiac auscultation are disappointingly low (Chizner, 2008). It is commonly understood that the only way trainees can master cardiac auscultation is through dedicated instruction and repetition (Mangione, Nieman, Gracely & Kaye, 1993;Vukanovic-Criley, 2006;Spatz, LeFrancois & Ostfeld, 2011;Barrett, Lacey, Sekara, Linden & Gracely, 2004).…”

Section: Introduction Introductionmentioning

confidence: 99%

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A novel approach to teaching cardiac auscultation

Peigh¹,

Majdan²

2017

MedEdPublish

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Purpose: Despite standard instruction, medical students cannot reliably identify common heart sounds and murmurs. The authors developed a novel approach to teach cardiac auscultation that uses process-based techniques to increase the diagnostic ability and confidence of physicians in training.Methods: 64 medical students were initially presented with a random selection of 10 heart sounds from Harvey, The Cardiopulmonary Patient Simulator, and graded on how many they could successfully recognize on a scale from 1-10. All students were then taught the novel approach to cardiac auscultation (the lesson). One day following the lesson, students were presented with another random selection of 10 heart sounds from Harvey, and graded on how many sounds they could correctly identify. Students then completed a survey regarding their confidence levels.Results: Students correctly identified more heart sounds after undergoing the lesson (prior to lesson: 4.1 (1.05); after lesson: 6.7 (1.00); p<0.001). Following the lesson, students also reported increased confidence in their ability to listen to heart sounds (prior: 1.70 (0.46); after: 3.13 (0.33); p<0.001). Conclusion:The novel approach to teaching cardiac auscultation is an effective means of instruction that increases diagnostic ability and confidence among medical students.

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Cardiovascular Assessment

Keenan¹,

Kucia²

2022

Cardiac Care

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Cardiac Auscultation: Rediscovering the Lost Art

Cited by 113 publications

References 109 publications

Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context

Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context

A novel approach to teaching cardiac auscultation

Cardiovascular Assessment

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