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33results about How to "Reduce unwanted noise" patented technology

Programmable electronic stethoscope devices, algorithms, systems, and methods

A digital electronic stethoscope includes an acoustic sensor assembly that includes a body sensor portion and an ambient sensor portion, the body sensor portion being configured to make acoustically coupled contact with a subject while the ambient sensor portion is configured to face away from the body sensor portion so as to capture environmental noise proximate the body sensor portion; a signal processor and data storage system configured to communicate with the acoustic sensor assembly so as to receive detection signals therefrom, the detection signals including an auscultation signal comprising body target sound and a noise signal; and an output device configured to communicate with the signal processor and data storage system to provide at least one of an output signal or information derived from the output signal. The signal processor and data storage system includes a noise reduction system that removes both stationary noise and non-stationary noise from the detection signal to provide a clean auscultation signal substantially free of distortions. The signal processor and data storage system further includes an auscultation sound classification system configured to receive the clean auscultation signal and provide a classification thereof as at least one of a normal breath sound or an abnormal breath sound.
Owner:THE JOHN HOPKINS UNIV SCHOOL OF MEDICINE

Programmable electronic stethoscope devices, algorithms, systems, and methods

A digital electronic stethoscope includes an acoustic sensor assembly that includes a body sensor portion and an ambient sensor portion, the body sensor portion being configured to make acoustically coupled contact with a subject while the ambient sensor portion is configured to face away from the body sensor portion so as to capture environmental noise proximate the body sensor portion; a signal processor and data storage system configured to communicate with the acoustic sensor assembly so as to receive detection signals therefrom, the detection signals including an auscultation signal comprising body target sound and a noise signal; and an output device configured to communicate with the signal processor and data storage system to provide at least one of an output signal or information derived from the output signal. The signal processor and data storage system includes a noise reduction system that removes both stationary noise and non-stationary noise from the detection signal to provide a clean auscultation signal substantially free of distortions. The signal processor and data storage system further includes an auscultation sound classification system configured to receive the clean auscultation signal and provide a classification thereof as at least one of a normal breath sound or an abnormal breath sound.
Owner:THE JOHN HOPKINS UNIV SCHOOL OF MEDICINE

Image super-resolution reconstruction method based on convolutional neural network

The invention discloses an image super-resolution reconstruction method based on a convolutional neural network, and belongs to the technical field of artificial intelligence and image processing, and the method comprises the steps: obtaining a primary image of which the resolution needs to be improved, obtaining a super-resolution reconstruction convolutional neural network, receiving the primary image as an input through a preliminary convolution layer, and obtaining a secondary image of which the resolution needs to be improved; and inputting the preliminary feature map into a deep feature mapping unit, so that each integrated feature extraction module performs feature extraction operation on the feature map in sequence, and an image reconstruction unit performs super-resolution reconstruction on the comprehensive feature map. Average pooling, maximum pooling and median pooling are set in the two attention mechanisms to perceive important information in an image, and part of modulation information in a front-stage space modulation module is input into a rear-stage channel modulation module by setting a feature integration unit. Therefore, the post-stage channel modulation module has the visual fields in the space direction and the channel direction at the same time, and the network has the advantages of good reconstruction effect, high robustness and the like.
Owner:WEIHAI VOCATIONAL COLLEGE

Mechanical synchronous transmission

The embodiment of the invention discloses a mechanical synchronous transmission, and relates to the technical field of vehicle transmission. The mechanical synchronous transmission is invented to reduce the noise generated by the transmission in a working state. The mechanical synchronous transmission comprises a transmission box which is internally provided with a differential mechanism, a gear, and an input shaft, a first middle shaft and a second middle shaft in parallel. The gear comprises a front shift moveable wheel and a front shift fixed wheel which are engaged with each other, a reverse shift moveable wheel and a reverse shift fixed wheel which are engaged with each other, an output wheel and a middle wheel. The input shaft and the first middle shaft are provided with the front shift moveable wheel and the front shift fixed wheel, and a shaft on one side of the front shift moveable wheel is provided with a synchronizer. The first middle shaft is provided with the output wheel which is engaged constantly with a gear ring of the differential mechanism, and the first middle shaft is further provided with the reverse shift fixed wheel. The second middle shaft is provided with a middle wheel which is engaged constantly with the front shift fixed wheel on the output shaft, and the second middle shaft is further provided with the reverse shift moveable wheel. A shaft on one side of the reverse shift moveable wheel is provided with a synchronizer.
Owner:GREAT WALL MOTOR CO LTD
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