Research process on deep learning methods for heart sounds classification
Journal Title: Progress in Medical Devices - Year 2023, Vol 1, Issue 2
Abstract
Cardiovascular diseases are still the primary threats to people’s health around the world. Automatic heart sound classification technology, as a fast and efficient means for diagnosis and treatment, is of great clinical significance. With the rapid development of artificial intelligence technology, deep learning algorithms are widely used in automatic heart sound classification. This paper reviewed the key technologies related to the automatic classification of heart sounds in recent years, including heart sound denoising, segmentation, feature extraction, and classification recognition. The classification and recognition technologies related to deep learning are presented in detail, with a focus on the application and development of convolutional neural network and recurrent neural network, as well as various combination models for heart sound classification in the past five years.
Authors and Affiliations
Weifeng Wu, Yongqian Zhang, Qianfeng Xu, Jiuzhou Zhao, Rongguo Yan
Keywords
Related Articles
- EP ID EP750298
- DOI 10.61189/473511cbaive
- Views 21
- Downloads 0
Research progress on vascular clips for minimally invasive surgery
Minimally invasive surgeries are widely applied due to the advantages of small surgical wound, short postoperative recovery period, and low surgical infection rate. In minimally invasive surgery, vascular clips play a si...
Research progress on biliary stents
Bile duct stenosis is a common condition in gastroenterology and hepatobiliary surgery and can be divided into benign stenosis and malignant stenosis according to different etiologies. The implantation of a gall stent in...
A method for identifying pleural lines in B-mode ultrasound images
In ultrasound imaging, the pleura is visualized as echo reflection formed by the echoes of the interface between the pleura and the lung surface. Three major signs of pleura determines whether the patient has pneumothora...
Dipstick color recognition in dry chemical urinalysis: A mini review
Urinalysis is an essential diagnostic tool for urinary tract infections, kidney disease, diabetes, and other clinical conditions. Dipsticks, which allow for quick screening of urine specimens, are used in the clinic sett...
Control technologies of lower limb rehabilitation exoskeleton robots based on surface electromyography: A review
The aging population is accompanied by a decline in human body function, leading to an increasing number of people with lower limb dysfunction, which has become a global public health challenge today. The lower limb reha...