Heart Sound Data Acquisition and Preprocessing Techniques

Author(s):  
Samit Kumar Ghosh ◽  
Ponnalagu Ramanathan Nagarajan ◽  
Rajesh Kumar Tripathy

Heart sound or phonocardiogram (PCG) signal quantifies the information about the mechanical activity of the heart, and the medical practitioners use the stethoscope to listen to this sound. The PCG signal can be used for clinical applications such as detection of various valvular diseases and non-clinical applications such as biometric system, stress and emotion detection, etc. The PCG signal acquisition and preprocessing are important tasks for the diagnosis of heart valve-related disorders and other applications. The heart sound preprocessing techniques include denoising of PCG signal, segmentation of first and second heart sound (S1, S2) and other heart sound components from the PCG signal, feature extraction from the segmented heart sound components, followed by classification. This chapter reviews the state-of-the-art approaches for heart sound acquisition and pre-processing techniques and also provides the information that is commonly used by the researchers for the validation of their PCG signal processing algorithms.

2021 ◽  
Vol 179 ◽  
pp. 260-267
Author(s):  
Norezmi Jamal ◽  
Nabilah Ibrahim ◽  
MNAH Sha’abani ◽  
Farhanahani Mahmud ◽  
N. Fuad

2021 ◽  
Vol 10 (4) ◽  
pp. 1-25
Author(s):  
Nimi W. S. ◽  
P. Subha Hency Jose ◽  
Jegan R.

This paper presents a brief review on present developments in wearable devices and their importance in healthcare networks. The state-of-the-art system architecture on wearable healthcare devices and their design techniques are reviewed and becomes an essential step towards developing a smart device for various biomedical applications which includes diseases classifications and detection, analyzing nature of the bio signals, vital parameters measurement, and e-health monitoring through noninvasive method. From the review on latest published research papers on medical wearable device and bio signal analysis, it can be concluded that it is more important and very essential to design and develop a smart wearable device in healthcare environment for quality signal acquisition and e-health monitoring which leads to effective measures of multiparameter extractions. This will help the medical practitioners to understand the nature of patient health condition easily by visualizing a quality signal by smart wearable devices.


Author(s):  
Mustafa Berkant Selek ◽  
Mert Can Duyar ◽  
Yalcin Isler

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.


PEDIATRICS ◽  
1969 ◽  
Vol 43 (2) ◽  
pp. 183-191
Author(s):  
Robert F. Castle ◽  
Carol A. Hedden ◽  
N. Park Davis

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.


2012 ◽  
pp. 115-115
Author(s):  
Achyut Sarkar

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