Abnormal heart sound recognition method based on sub-band energy envelope autocorrelation characteristics
A technology of autocorrelation features and identification methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to adapt to noisy environments, dependence, and inability to handle variable-length input signals
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
specific Embodiment approach 1
[0041] Specific embodiment one: the abnormal heart sound recognition method based on the sub-band energy envelope autocorrelation feature described in this embodiment is realized by the following steps:
[0042] Step 1. Heart sound preprocessing
[0043] The input heart sound signal is energy-standardized, then down-sampled to 2kHz, and a 6th-order Butterworth filter (20-900Hz) filter is used to band-pass filter the down-sampled heart sound signal to filter out the cut-off Other sounds and noises other than frequencies; Note: Assuming that the sampling frequency of the input heart sound signal is higher than 2kHz, the sampling frequency of the output signal after preprocessing is approximately 2kHz;
[0044] Step 2. Extract the average Shannon energy envelope
[0045] (1) The preprocessed heart sound signal with a sampling frequency of 2kHz is decomposed into 4 levels using the 4th-order Daubechies wavelet to obtain: an approximate coefficient sequence a 4 and four detail co...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com