Systems and methods for quantifying the dynamic response of stiffened skeletal tissue
By filtering and identifying change points in the force response waveform of skeletal tissue, a dynamic contractility vector is generated, solving the problem of automated quantification of dynamic parameters of skeletal muscle tetanic contraction, and improving the accuracy and efficiency of disease research and drug discovery.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- VARO HEALTH CO LTD
- Filing Date
- 2024-11-06
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to quantify the dynamic parameters of skeletal muscle during tetanic contractions non-invasively and automatically, especially in computer simulations or virtual measurements.
By obtaining the force response waveform of bone tissue, applying a low-pass filter for noise reduction, identifying multiple points of change, and generating a dynamic contractility vector, the dynamic response of bone tissue is characterized, thereby determining the effect associated with specific conditions.
It enables unsupervised and non-invasive quantification of tetanic contractions in skeletal tissue, providing low-complexity quantification of dynamic responses and improving the accuracy and efficiency of disease research and drug discovery.
Smart Images
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