A Review of Computer-Aided Heart Sound Detection Techniques

المؤلفون المشاركون

Li, Suyi
Li, Feng
Tang, Shijie
Xiong, Wenji

المصدر

BioMed Research International

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-01-10

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الطب البشري

الملخص EN

Cardiovascular diseases have become one of the most prevalent threats to human health throughout the world.

As a noninvasive assistant diagnostic tool, the heart sound detection techniques play an important role in the prediction of cardiovascular diseases.

In this paper, the latest development of the computer-aided heart sound detection techniques over the last five years has been reviewed.

There are mainly the following aspects: the theories of heart sounds and the relationship between heart sounds and cardiovascular diseases; the key technologies used in the processing and analysis of heart sound signals, including denoising, segmentation, feature extraction and classification; with emphasis, the applications of deep learning algorithm in heart sound processing.

In the end, some areas for future research in computer-aided heart sound detection techniques are explored, hoping to provide reference to the prediction of cardiovascular diseases.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Li, Suyi& Li, Feng& Tang, Shijie& Xiong, Wenji. 2020. A Review of Computer-Aided Heart Sound Detection Techniques. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1135007

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Li, Suyi…[et al.]. A Review of Computer-Aided Heart Sound Detection Techniques. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1135007

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Li, Suyi& Li, Feng& Tang, Shijie& Xiong, Wenji. A Review of Computer-Aided Heart Sound Detection Techniques. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1135007

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1135007