A5100408825- Phonocardiography and Auscultation Techniques
- Music and Audio Processing
- ECG Monitoring and Analysis
- Lung Cancer Treatments and Mutations
- Radiopharmaceutical Chemistry and Applications
- Machine Fault Diagnosis Techniques
- Cancer-related Molecular Pathways
- Obstructive Sleep Apnea Research
- Neonatal Respiratory Health Research
- Infection Control and Ventilation
- COVID-19 epidemiological studies
- Cerebrovascular and Carotid Artery Diseases
- Speech and Audio Processing
- Image and Signal Denoising Methods
- Gastric Cancer Management and Outcomes
- Sarcoma Diagnosis and Treatment
- Medical Image Segmentation Techniques
- Non-Invasive Vital Sign Monitoring
- COVID-19 and healthcare impacts
- Advanced Breast Cancer Therapies
- Cardiac Imaging and Diagnostics
- Energy Load and Power Forecasting
- Dental Research and COVID-19
- Lung Cancer Diagnosis and Treatment
- Currency Recognition and Detection
Beihang University
2024
Xihua University
2009-2023
Ningbo Center for Disease Control and Prevention
2020
CRRC (China)
2018
Guiyang Medical University
2012
Jiangxi Chest Hospital
2012
First Affiliated Hospital of Chinese PLA General Hospital
2012
Zhengzhou University
2007
Evidence of whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes disease 2019 (COVID-19), can be transmitted as an aerosol (ie, airborne) has substantial public health implications.To investigate potential transmission routes SARS-CoV-2 infection with epidemiologic evidence from a COVID-19 outbreak.This cohort study examined community outbreak in Zhejiang province. On January 19, 2020, 128 individuals took buses (60 [46.9%] bus 1 and 68 [53.1%] 2) on...
Obstructive sleep apnea (OSA) affecting human’s health is a kind of major breathing-related disorders and sometimes leads to nocturnal death. Respiratory rate (RR) breathing sound signal an important human vital sign for OSA monitoring during whole-night sleeping. A novel respiratory detection with high computational speed based on characteristic moment waveform (CMW) method proposed in this paper. portable wearable device used acquire the signal. And amplitude contrast decreasing has been...
This paper focuses on the heart sound measurement and analysis system for in-home use of condition monitoring. The acquiring includes a traditional chest-piece, an earphone, microphone IC recorder. recorded data transmitted into computer by USB interface are analyzed analytical model single degree-offreedom(SDOF) extracting cardiac characteristic waveform(CSCW). Furthermore, 4 parameters [T1, T2, T11, T12] related to first (SI) second (S2) defined time intervals between crossed points CSCW...
Sleep-related breathing disorders (SBDs) will lead to poor sleep quality and increase the risk of cardiovascular cerebrovascular diseases which may cause death in serious cases. This paper aims detect states related SBDs by sound signals. A moment waveform analysis is applied locate segment cycles. As core our study, a set useful features signal proposed based on Mel frequency cepstrum analysis. Finally, normal abnormal can be distinguished extracted Mel-scale indexes. Young healthy testers...
This paper presents a novel spectral analysis method of heart sounds using the normalized autoregressive power density (NAR-PSD) curve with support vector machine (SVM) technique for classifying murmurs. The 459 sound signals 196 normal and 263 abnormal cases acquired from 6 healthy volunteers 30 patients were tested. Considering morphological characteristics PSD in frequency domain, we proposed two diagnostic parameters fmax fwidth. In order to detect abnormality discriminate murmurs,...
In this paper, the Mahalanobis distance classification criterion combined with principal component analysis (PCA)-based heart sound features generation is proposed for diagnosing three-type ventricular septal defects (VSDs): small VSDs (SVSDs), moderate (MVSDs), and large (LVSDs). The three stages corresponding to diagnostic system implementation are summarized as follows. first stage, collected via a stethoscope filtered using wavelet decomposition. second time-domain [t <sub...
The aim of the present paper was to study influence neck muscle activation on head and injuries vehicle occupants in frontal impacts. A mixed dummy-human finite element model developed simulate a impact. head-neck part Hybrid III dummy replaced by well-validated FE with passive active characteristics. validated 15 G volunteer tests conducted Naval Biodynamics Laboratory. effects dynamic responses three impact intensities, low speed (10 km/h), medium (30 high (50 were studied. results showed...
This paper presents a new spectral analysis method of heart sound (HS) by using autoregressive power density (AR-PSD) for discriminating normal and abnormal HS. Digital stethoscope was used to collect HS transmitted into computer USB interface, so as store, display analysis. Practical cases normal/abnormal are demonstrated validate the usefulness efficiency proposed method. In order improve diagnosis accuracy see result more clearly, characteristic parameters were defined intervals between...
To compensate for the deficiencies of traditional wavelet threshold shrinkage denoising algorithm and obtain heart sounds with high SNR, an improved is proposed in this paper. The uses a new subband adaptive function to quantify detail coefficients decomposition noisy sounds, its effect assessed signal noise ratio (SNR) root mean square error (RMSE). First, several thresholds are applied reduction soft respectively verify superiority by comparison effects 22cases standard 3M database....
In this study, a simple system based on PCA-based heart sound feature extraction is proposed for discriminating ventricular septal defects (VSDs), which are generally divided into three types: small VSDs (SVSDs), moderate (MVSDs) and large (LVSDs). The stages corresponding to the discrimination implementation summarized as follows. stage 1, collected by stethoscope preprocessed using wavelet decomposition (WD). 2, time domain features [T12, T11] first extracted from envelope Et, signal Xt...
In order to analyze heart valve disease accurately and effectively, a new quantized diagnosis method was proposed four clinical sounds, namely cardiac sound characteristic waveform(CSCW). BIOPAC acquiring system used collect signal. The recorded data is transmitted computer by ethernet for storage, analysis display in real-time. Analytical model of single degree-of-freedom(SDOF) established extract waveform. Furthermore, parameters were calculated discriminate normal easy-understanding...
In this paper, an approach on analysis of the pathologic cardiac murmurs for congenital heart defects was proposed based wavelet packet (WP) technique. Considering difference energy intensity distributions innocent and in frequency domain, WP decomposition introduced energies at each band were calculated compared. Based a large amount clinic sound data, divided into five bands, relative evaluation indexes (ICM) murmurs. Finally, threshold values between determined statistical results normal...
Objective To demonstrate the relationship between plaque composition and coronary artery remodeling in same patient′s blood vessel. Methods A total of 48 were included this study. Qualitative assessment quantitative measurements lesion performed target lesions. The lesions classified into soft plaque, fibrous calcified mixed according to different degree reflection ultrasound signal. index (RI) was defined as ratio external elastic membrane cross sectional area segment mean reference...