An intelligent prediction model training system for pelvic-abdominal coordination function state
By using an asymmetric convolutional coding network and a temporal misalignment suppression module, the problem of feature extraction misalignment between the synergistic relationship between abdominal pressure and pelvic floor electromyographic signals was solved, achieving efficient and accurate prediction of pelvic-abdominal synergistic function under limited resources.
CN122153410BActive Publication Date: 2026-07-21HUNAN ACCURATE BIO MEDICAL TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN ACCURATE BIO MEDICAL TECH CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-21
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Figure CN122153410B_ABST
Abstract
The present application relates to the technical field of computer neural network, and discloses a kind of intelligent prediction model training system of pelvic abdominal cooperative function state, comprising: time delay parameter calculation module, for determining discrete time delay index based on envelope cross-correlation;Asymmetric convolution coding network, index offset convolution layer is embedded to call index offset memory reading pointer;Collaborative feature fusion module, element-by-element multiplication is performed;Time sequence misplacement suppression module, annular shift negative sample is constructed and inhibitory penalty is applied, the present application realizes the physical cause alignment of heterogeneous signal under the premise of not increasing network depth by implanting deterministic time sequence bias in convolution operator bottom layer, and constructs cause decision boundary using counterfactual training strategy, eliminates false co-occurrence misjudgment and reduces computing overhead.
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