A cognitive risk stratification method and system based on dual-task gait

By acquiring and analyzing single-task and dual-task gait data and calculating dual-task loss data, the accuracy of traditional cognitive assessment is insufficient, achieving efficient and non-invasive cognitive risk grading, which is suitable for large-scale clinical applications.

CN122158149APending Publication Date: 2026-06-05AFFILIATED HUSN HOSPITAL OF FUDAN UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AFFILIATED HUSN HOSPITAL OF FUDAN UNIV
Filing Date
2026-05-11
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Traditional cognitive assessments are easily affected by peripheral factors, making it difficult to accurately correlate with central cognitive function and identify cognitive risks, especially in the early screening of neurodegenerative diseases.

Method used

By acquiring single-task and dual-task gait data from longitudinally tracked population cohorts, calculating dual-task loss data, and combining prognostic correlation analysis and statistical tests, the optimal cutoff value is selected to determine the cognitive risk stratification standard. Furthermore, by collecting gait parameters through wearable gait sensing devices, eliminating interference signals, and calculating dual-task loss data, accurate cognitive risk classification can be achieved.

Benefits of technology

It enables precise stratification of cognitive risk, provides an efficient and non-invasive early screening method, is suitable for large-scale clinical application, improves the accuracy and practicality of assessment, and has important clinical application value.

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Abstract

The application discloses a cognitive risk stratification method based on a dual-task gait, which comprises the following steps: acquiring single-task and dual-task walking gait data of a target subject in a longitudinal tracking population cohort; calculating gait loss data of the dual task compared with the single task; performing prognosis correlation analysis in combination with cognitive function decline events in a preset time period, screening target features, determining an optimal cutoff value and a risk stratification determination standard; and completing cognitive risk grade division and outputting a result based on the standard. The method solves the problems of traditional cognitive evaluation, such as complicated operation and difficulty in large-scale application, realizes precise and non-invasive early screening of cognitive risk, and has important clinical application value.
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