scholarly journals Electronic Stethoscope Design

2020 ◽  
pp. 10-16
Author(s):  
Mustafa Berkant Selek ◽  
Mert Can Duyar ◽  
Yalcin Isler
Keyword(s):  
Early Diagnosis ◽  
Heart Valve ◽  
Heart Sound ◽  
Late Diagnosis ◽  
Digital Data ◽  
Main Difficulty ◽  
Negative Effects ◽  
Electronic Stethoscope ◽  
Heart Murmurs ◽  
Second Heart Sound

Nowadays, despite the developing technology lots of patients lost their lives because of wrong and late diagnosis. With early diagnosis, most diseases and negative effects of the diseases for the patient can be prevented. Early diagnosis can also prevent cardiological diseases. Although auscultation of the chest with a stethoscope is an effective and basic method, a stethoscope isn't enough for the diagnosis of some diseases. One example of these diseases is heart valve malfunctions when the valves do not work as desired heart murmurs occur. The main goal of this project is to develop an electronic stethoscope and observing obtained signals as a graphic. The main difficulty while auscultation of chest with a stethoscope is, this procedure needs lots of experience and also even tough physician have enough experience, it's very hard to diagnose grade 1 and 2 heart murmurs. Furthermore, while auscultation tachycardia patients, generally it's very hard to decide where the first heart (S1) sound and second heart sound (S2) begins. In this project, it is planned to demonstrate heart sounds as a graphic. This method provides physicians to diagnose all kinds of chest sounds easily even the sounds which they cannot diagnose or recognize with their ears by stethoscope. Moreover, as the chest sounds are obtained as digital data, these data can be sent as desired. When a physician needs to get someone else's idea, these recordings can be sent to another professional.

scholarly journals Portable heart valve disease screening device using electronic stethoscope

2019 ◽  
Vol 15 (1) ◽  
pp. 122
Author(s):  
Mohd Zubir Suboh ◽  
Muhyi Yaakop ◽  
Mohd Azlan Abu ◽  
Mohd Syazwan Md Yid ◽  
Aizat Faiz Ramli ◽  
...  
Keyword(s):  
Heart Valve ◽  
Heart Sound ◽  
Disease Screening ◽  
Sound Signal ◽  
Valve Disease ◽  
Automated System ◽  
Heart Valve Disease ◽  
Electronic Stethoscope ◽  
Screening Device ◽  
Heart Sound Signal

<p><em>Heart sound analysis has been a popular topic of studies since a few decades ago. Most of the studies are done in PC platform since embedding the complex algorithm into a simple small device such as microcontroller board seems to be very difficult due to limited processing speed and memory. This study classifies normal and abnormal heart sound signal from four categories of Heart Valve Disease. An automated system that consists of segmentation, feature extraction and classification of the heart sound signal is developed in PC and hardware platforms. A multimedia board completed with a single board computer, audio codec and graphic LCD is used to make a portable heart valve disease screening device with electronic stethoscope as the input for the system. Both system recorded 96.3% specificity. However, the portable device has only 77.78% sensitivity and 87.04% accuracy compared to PC platform that have sensitivity and accuracy of more than 90%.</em></p>

scholarly journals Electronic Method for Detection of Heart Valve Defects

2019 ◽  
Vol 8 (4) ◽  
pp. 2373-2376
Keyword(s):  
Heart Valve ◽  
Heart Sound ◽  
Early Stage ◽  
Heart Function ◽  
Data File ◽  
Frequency Component ◽  
Heart Sounds ◽  
Maximum Magnitude ◽  
Electronic Stethoscope ◽  
Free Environment

This article describes a sophisticated method for detection of Heart valve defects at early stage i.e Grade 1 murmur without the expertise of a doctor. The diagnosis based on heard heart sounds through, either a conventional acoustic or an electronic stethoscope is itself a very specialized skill that will take years to acquire. Sometimes the doctors cannot detect these defects till the murmurs reach grade 3 and above which generally is too late for prognosis. Here, we have taken the recorded heart sounds from 350 subjects and performed the Fast Fourier Transform(FFT) on it, but it didn’t give satisfying result. We have also recoded heart sounds using phonograph for 20 subjects in noise free environment. In this technique Frequency component with the maximum magnitude (in Hertz) was observed to be of varying values across some heart sounds (for e.g., heart sound from subject 41=13.0588Hz and heart sound from subject 58=324.5293Hz). Hence normal heart sounds could not be categorized in a generic way. To overcome this problem, we have used Shannon energy method on same data file, which will classify the condition of heart by finding S1(lub) and S2(dub) frequency component, if they lie between 30-100Hz, the heart is normal and if it is above 100Hz then the heart function is abnormal..

scholarly journals Systematic Review Investigating Multi-disciplinary Team Approaches to Screening and Early Diagnosis of Dementia in Primary Care – What are the Positive and Negative Effects and Who Should Deliver It?

2017 ◽  
Vol 15 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Toby Smith ◽  
Jane Cross ◽  
Fiona Poland ◽  
Felix Clay ◽  
Abbey Brookes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Early Diagnosis ◽  
Service Providers ◽  
Care Practice ◽  
Initial Contact ◽  
Negative Effects ◽  
People With Dementia ◽  
Health And Social Care ◽  
Early Diagnostic

Background: Primary care services frequently provide the initial contact between people with dementia and health service providers. Early diagnosis and screening programmes have been suggested as a possible strategy to improve the identification of such individuals and treatment and planning health and social care support. Objective: To determine what early diagnostic and screening programmes have been adopted in primary care practice, to explore who should deliver these and to determine the possible positive and negative effects of an early diagnostic and screening programme for people with dementia in primary care. Methods: A systematic review of the literature was undertaken using published and unpublished research databases. All papers answering our research objectives were included. A narrative analysis of the literature was undertaken, with the CASP tools used appropriately to assess study quality. Results: Thirty-three papers were identified of moderate to high quality. The limited therapeutic options for those diagnosed with dementia means that even if such a programme was instigated, the clinical value remains questionable. Furthermore, accuracy of the diagnosis remains difficult to assess due to poor evidence and this raises questions regarding whether people could be over- or under-diagnosed. Given the negative social and psychological consequences of such a diagnosis, this could be devastating for individuals. Conclusion: Early diagnostic and screening programmes have not been widely adopted into primary care. Until there is rigorous evidence assessing the clinical and cost-effectiveness of such programmes, there remains insufficient evidence to support the adoption of these programmes in practice.

VARIABLES AFFECTING SPLITTING OF THE SECOND HEART SOUND IN NORMAL CHILDREN

PEDIATRICS ◽  
1969 ◽  
Vol 43 (2) ◽  
pp. 183-191
Author(s):  
Robert F. Castle ◽  
Carol A. Hedden ◽  
N. Park Davis
Keyword(s):  
Heart Rate ◽  
Children And Adolescents ◽  
Supine Position ◽  
Heart Sound ◽  
Second Sound ◽  
Normal Children ◽  
Major Variable ◽  
Second Heart Sound ◽  
Normal Respiration

Phonocardiograms were recorded in a population of normal children and adolescents (116 subjects) in order to evaluate variables which might affect splitting of the second heart sound. Tracings were recorded during normal respiration in supine and sitting positions. Position was the major variable affecting splitting. Eighty-five percent of this population exhibited greater variation in splitting when sitting than while supine. In the remainder of the subjects, the splitting variation was greater in the supine position. Heart rate, sex, age, height, and weight had little or no effect on the splitting pattern of the second sound; 15% of the subjects exhibited fixed splitting of the second sound in either, but not both, the supine and upright positions. This was defined as less than 10 msec variation in splitting during normal respiration. This observation indicates the necessity of assessing the second sound in both supine and upright positions before a judgment is made concerning the existence of an abnormal splitting pattern.

Second Heart Sound (S2)

2012 ◽  
pp. 115-115
Author(s):  
Achyut Sarkar
Keyword(s):  
Heart Sound ◽  
Second Heart Sound
Sign in / Sign up

Export Citation Format

Share Document