PHONOCARDIOGRAM

作品数：8被引量：5H指数：1
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Exercise Fatigue Monitoring Based on R-Peak Detection Using UNET-TCN
《Journal of Beijing Institute of Technology》2024年第4期337-345,共9页Xinhua Su Xuxuan Wang Xinxin Ma 
the National Natural Science Foundation of China(No.62301056);the Fundamental Research Funds for Central Universities(No.2022QN005).
Moderate exercise contributes to health, but excessive exercise may lead to physicalinjury or even endanger life. It is pressing for a device that can detect the intensity of exercise.Therefore, in order to enable rea...
关键词：heart rate variability(HRV) phonocardiogram(PCG) Unet temporal convolutionalnetwork(TCN) machine learning exercise intensity 
PCG-Based Exercise Fatigue Detection Method Using FRFT-Based Fusion Model
《Journal of Beijing Institute of Technology》2024年第4期298-306,共9页Xinxin Ma Xinhua Su Huanmin Ge 
the National Natural Sci-ence Foundation of China(No.62301056);the Fundamental Research Funds for Central Universities(No.2022QN005).
Accurate detection of exercise fatigue based on physiological signals is vital for reason-able physical activity.As a non-invasive technology,phonocardiogram(PCG)signals possess arobust capability to reflect cardiovas...
关键词：exercise fatigue phonocardiogram(PCG) fractional Fourier transform(FRFT) dis-crete wavelet transform(DWT) future fusion 
Blood Pressure Estimation with Phonocardiogram on CNN-Based Approach
《Computers, Materials & Continua》2024年第5期1775-1794,共20页Kasidit Kokkhunthod Khomdet Phapatanaburi Wongsathon Pathonsuwan Talit Jumphoo Patikorn Anchuen Porntip Nimkuntod Monthippa Uthansakul Peerapong Uthansakul 
Suranaree University of Technology,Thailand Science Research and Innovation(TSRI);National Science,Research,and Innovation Fund(NSRF)(NRIIS Number 179292).
Monitoring blood pressure is a critical aspect of safeguarding an individual’s health,as early detection of abnormal blood pressure levels facilitates timely medical intervention,ultimately leading to a reduction in ...
关键词：Blood pressure PHONOCARDIOGRAM CNN-based deep learning 
Artificial Intelligence in Medicine:Real Time Electronic Stethoscope for Heart Diseases Detection被引量：4
《Computers, Materials & Continua》2022年第2期2815-2833,共19页Batyrkhan Omarov Nurbek Saparkhojayev Shyrynkyz Shekerbekova Oxana Akhmetova Meruert Sakypbekova Guldina Kamalova Zhanna Alimzhanova Lyailya Tukenova Zhadyra Akanova 
Diseases of the cardiovascular system are one of the major causes of death worldwide.These diseases could be quickly detected by changes in the sound created by the action of the heart.This dynamic auscultations need ...
关键词：STETHOSCOPE PHONOCARDIOGRAM machine learning classification heart diseases PCG 
Transfer Learning Model to Indicate Heart Health Status Using Phonocardiogram被引量：1
《Computers, Materials & Continua》2021年第12期4151-4168,共18页Vinay Arora Karun Verma Rohan Singh Leekha Kyungroul Lee Chang Choi Takshi Gupta Kashish Bhatia 
This work was supported by the National Research Foundation of Korea(NRF)Grant Funded by the Korea government(Ministry of Science and ICT)(No.2017R1E1A1A01077913);by the Institute of Information&Communications Technology Planning&Evaluation(IITP)funded by the Korea Government(MSIT)(Development of Smart Signage Technology for Automatic Classification of Untact Examination and Patient Status Based on AI)under Grant 2020-0-01907.
The early diagnosis of pre-existing coronary disorders helps to control complications such as pulmonary hypertension,irregular cardiac functioning,and heart failure.Machine-based learning of heart sound is an efficien...
关键词：PCG signals transfer learning repeating pattern-based spectrogram biomedical signals internet of things(IoT) 
Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis
《Circuits and Systems》2017年第7期184-190,共7页Mohammed Nabih-Ali El-Sayed A. El-Dahshan Ashraf S. Yahia 
This paper presents an intelligent algorithm for heart diseases diagnosis using phonocardiogram (PCG). The proposed technique consists of four stages: Data acquisition, pre-processing, feature extraction and classific...
关键词：HEART DISEASES PHONOCARDIOGRAM (PCG) Feature Extraction Discrete Wavelet Transform (DWT) Artificial Neural Network (ANN) 
A Time-Frequency Approach for Discrimination of Heart Murmurs
《Journal of Signal and Information Processing》2011年第3期232-237,共6页Sepideh Jabbari Hassan Ghassemian 
In this paper, a novel framework based on a time-frequency (TF) approach is proposed for detection of murmurs from heart sound signal. First, a high-resolution TF algorithm, matching pursuit, was used to decompose eac...
关键词：PHONOCARDIOGRAM (PCG) MURMUR Matching PURSUIT (MP) TIME-FREQUENCY ATOM Clustering 
Effect of Mixed Anesthesia on Cardiac Function by Phonocardiogram
《Journal of Electronic Science and Technology of China》2008年第1期91-94,共4页Fei Han Hong-Mei Yan Xin-Chuan Wei Qing Yan 
supported by the National Nature Science Foundation of China under Grant No. 30400105;973 Project under Grant No. 2003CB716106;Outstanding Youth Fund of China under Grant No. 30525030
Objective of this investigation is to further analyze the cardiac function status change by phonocar-diogram during mixed anesthesia which is conducted by midazolam,skelaxin,fentanyi and propofol.The results show that...
关键词：ANESTHESIA cardiac function phonocardiogram. 
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