System for assessing fall risk

Abstract

This disclosure provides a system for assessing fall risk, comprising a measurement platform, a body composition analysis module, a dynamic balance analysis module, and a risk assessment module. The measurement platform is configured to accommodate the user and acquire the user's personal data and measurement signals. The body composition analysis module analyzes the personal data and measurement signals to calculate the user's muscular mass index and body muscle ratio parameters. The dynamic balance analysis module analyzes the user's standing balance on the measurement platform to obtain the user's dynamic balance parameters. The risk assessment module calculates the user's fall risk index score based on the muscular mass index, body muscle ratio parameters, and dynamic balance parameters to generate a fall risk assessment result.

Claims

1. A system for assessing fall risk, comprising: The measurement platform is configured to carry the user and obtain the user's personal data and measurement signals; The system includes a body composition analysis module, electrically connected to the measurement platform, configured to analyze the user's personal data and measurement signals to calculate the user's muscular mass index and body muscle ratio parameters; a dynamic balance analysis module, electrically connected to the measurement platform, configured to analyze the user's standing balance state on the measurement platform to obtain the user's dynamic balance parameters; and a risk assessment module, electrically connected to the measurement platform, configured to calculate the user's fall risk index score based on the muscular mass index, body muscle ratio parameters, and dynamic balance parameters to generate a fall risk assessment result.

2. The system for assessing fall risk as described in claim 1, wherein, The body muscle ratio parameter includes at least one of the following: the ratio of muscles in the limbs, the difference in muscle ratio between the left and right legs, and the ratio of core muscles.

3. A system for assessing fall risk as described in claim 1, wherein, The dynamic balance analysis module includes a plurality of pressure sensors, which are correspondingly set on the measurement platform and configured to sense the user's plantar pressure values, calculate the positional change of the plantar pressure center, and analyze the user's standing balance state.

4. A system for assessing fall risk as described in claim 3, wherein, The dynamic balance analysis module is configured to calculate the dynamic balance parameters based on at least one of the user's foot pressure center movement trajectory length, average movement speed, and swing area.

5. A system for assessing fall risk as described in claim 4, wherein, The length of the movement trajectory is the total length obtained by summing the distances between every two adjacent points generated by the center of pressure on the sole of the foot during the movement.

6. A system for assessing fall risk as described in claim 4, wherein, The swing area is calculated as the minimum convex hull area or the 95% confidence ellipse area formed by the center of pressure on the foot during movement.

7. A system for assessing fall risk as described in claim 3, wherein, The plurality of pressure sensors are configured to continuously sense for a period of 10 to 30 seconds at a sampling frequency of not less than 8 Hz.

8. A system for assessing fall risk as described in claim 1, wherein, The risk assessment module further assigns auxiliary reference scores based on the age and gender in the personal data, and incorporates these auxiliary reference scores into the calculation of the fall risk index score to generate the fall risk assessment result.

9. The system for assessing fall risk as described in claim 1, further comprising a balance training module configured to generate an interactive training interface for the user to perform balance training.

10. A system for assessing fall risk as described in claim 9, wherein, The balance training module is configured to construct personalized balance training content for the user based on the fall risk assessment results, and present the personalized balance training content through the interactive training interface.

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