Noninvasive arteriosclerosis detection method and system based on feature interaction

• Main Authors: DU YU, YANG XUEZHI, HU YI, CHEN QIN, LI BOJING, CHEN YAWEI, GONG ZHENG
• Format: Patent
• Language: Chinese; English
• Published: 19.09.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; ELECTRIC DIGITAL DATA PROCESSING; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

The invention discloses a non-invasive arteriosclerosis detection method and system based on feature interaction, and belongs to the technical field of arteriosclerosis detection. Comprising the following steps: signal acquisition; signal preprocessing: processing the pulse wave signal to obtain a stable signal fragment; feature extraction: extracting morphological features and derivative features of the pulse waves, and constructing a feature set; interactive feature selection: screening feature subsets with an interactive relationship; and arteriosclerosis detection: estimating the arteriosclerosis degree of the detected object from the interaction characteristics. Compared with the prior art, the method has the advantages that a pulse wave feature set comprising morphological features and derivative features is obtained through pulse wave signal collection, signal preprocessing and feature extraction, a feature subset with an interaction relation is screened out, the feature subset serves as input, the art