Electronic stethoscope is an instrument used for auxiliary determination of patients＇ physical condition by collecting and processing heart sounds and lung *** traditional electronic stethoscopes have low sensitivity...
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Electronic stethoscope is an instrument used for auxiliary determination of patients＇ physical condition by collecting and processing heart sounds and lung *** traditional electronic stethoscopes have low sensitivity and poor low-frequency response,a novel electronic stethoscope is provided in this paper using curved PVDF clamping structure with non-uniform curvature based on the structure of PVDF and silicone rubber *** analysis and comparison by means of the corresponding inhomogeneous string vibration model show that sensitivity significantly increases for non-uniform curvature than the uniform ***,a new electronic stethoscope pickup is developed based on the optimal parameters at the point of maximum sensitivity of non-uniform *** results show that the sensitivity of the pickup can reach1.7mV/Pa,which increases by 13.3%compared to the one with the structure of uniform curvature PVDF and silicone rubber substrate that has been studied in recent ***,flat frequency response characteristics can be retained within the frequency band range of 2-2kHz,which covers the frequency response range of cardiopulmonary sound collection,thus provides a strong guarantee for complete acquisition of heart and lung sound signals.
Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper＇s feature extraction and analysis methods are of high significance for the rice pape...
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Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper＇s feature extraction and analysis methods are of high significance for the rice paper is an important carrier of traditional Chinese painting arts. In this paper, rice paper＇s morphological feature analysis is done using multi spectral imaging technology. The multispectral imaging system is utilized to acquire rice paper＇s spectral images in different wave- length channels, and then those spectral images are measured using texture parameter statistics to acquire sensitive bands for rice paper＇s feature. The mathematical morphology and grayscale statistical principle are utilized to establish a rice paper＇s morphological feature analytical model which is used to acquire rice paper＇ s one-dimensional vector. For the purpose of eval- uating these feature vectors＇ accuracy, they are entered into the support vector machine（SVM） classifier for detection and classification. The results show that the rice paper＇s feature is out loud in the spectral band 550 nm, and the average classifi- cation accuracy of feature vectors output from the analytical model is 96 %. The results indicate that the rice paper＇s feature analytical model can extract most of rice paper＇s features with accuracy and efficiency.
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