Gait-based mobility analysis

Patent metadata

Field	Value
Publication number	US-2023170095-A1
Application number	US-202117456902-A
Country	US
Kind code	A1
Filing date	Nov 30, 2021
Priority date	Nov 30, 2021
Publication date	Jun 1, 2023
Grant date	—

Abstract

A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting heart rate data and acceleration data corresponding to a user while the user is not performing one or more validated fitness assessment tests and extracting one or more features from the heart rate data and the acceleration data. The exemplary in embodiments may further include calculating one or more validated fitness assessment scores of the user based on applying a model to the one or more features and projecting a mobility of the user based on the one or more validated fitness assessment scores.

First claim

1 . A computer-implemented method for assessing user mobility, the method comprising:
collecting heart rate data and acceleration data corresponding to a user while the user is not performing one or more validated fitness assessment tests; extracting one or more features from the heart rate data and the acceleration data; calculating one or more validated fitness assessment scores of the user based on applying a model to the one or more features; and projecting a mobility of the user based on the one or more validated fitness assessment scores.

2 . The method of claim 1 , wherein the one or more validated fitness assessment tests are selected from a group consisting of a Timed-Up and Go (TUG), Six Minute Walk Test (6MWT), Two Minute Walk Test (2MWT), 3 Minute Walk Test (3MWT), Ten Minute Walk Test (10MWT), Tandem Walking (TW), Two Minute Step in Place Test, and Sit-to-Stand.

3 . The method of claim 1 , wherein the one or more features are selected from a group comprising an hourly index of effective mobility, a gait stability index, an imbalance index, a heart rate recovery rate walk-by-walk, and a time, duration, and steps of one or more walking episodes.

4 . The method of claim 3 , wherein the gait stability index, the imbalance index, and the time, duration, and steps of the one or more walking episodes are calculated by extracting one or more individual step durations from the one or more walking episodes.

5 . The method of claim 3 , wherein the heart rate recovery rate walk-by-walk is calculated by estimating a baseline and a peak heart rate of the user based on the heart rate data.

6 . The method of claim 1 , wherein the model is trained by correlating the one or more features with the one or more validated fitness assessment scores while the user performs the one or more corresponding validated fitness assessment tests.

7 . The method of claim 1 , wherein the projected mobility of the user is based on comparing the one or more validated fitness assessment scores to one or more historic validated fitness assessment scores.

8 . A computer program product for assessing user mobility, the computer program product comprising:
one or more non-transitory computer-readable storage media and program instructions stored on the one or more non-transitory computer-readable storage media capable of performing a method, the method comprising: collecting heart rate data and acceleration data corresponding to a user while the user is not performing one or more validated fitness assessment tests; extracting one or more features from the heart rate data and the acceleration data; calculating one or more validated fitness assessment scores of the user based on applying a model to the one or more features; and projecting a mobility of the user based on the one or more validated fitness assessment scores.

9 . The computer program product of claim 8 , wherein the one or more validated fitness assessment tests are selected from a group consisting of a Timed-Up and Go (TUG), Six Minute Walk Test (6MWT), Two Minute Walk Test (2MWT), 3 Minute Walk Test (3MWT), Ten Minute Walk Test (10MWT), Tandem Walking (TW), Two Minute Step in Place Test, and Sit-to-Stand.

10 . The computer program product of claim 8 , wherein the one or more features are selected from a group comprising an hourly index of effective mobility, a gait stability index, an imbalance index, a heart rate recovery rate walk-by-walk, and a time, duration, and steps of one or more walking episodes.

11 . The computer program product of claim 10 , wherein the gait stability index, the imbalance index, and the time, duration, and steps of the one or more walking episodes are calculated by extracting one or more individual step durations from the one or more walking episodes.

12 . The computer program product of claim 10 , wherein the heart rate recovery rate walk-by-walk is calculated by estimating a baseline and a peak heart rate of the user based on the heart rate data.

13 . The computer program product of claim 8 , wherein the model is trained by correlating the one or more features with the one or more validated fitness assessment scores while the user performs the one or more corresponding validated fitness assessment tests.

14 . The computer program product of claim 8 , wherein the projected mobility of the user is based on comparing the one or more validated fitness assessment scores to one or more historic validated fitness assessment scores.

15 . A computer system for assessing user mobility, the system comprising:
one or more computer processors, one or more computer-readable storage media, and program instructions stored on the one or more of the computer-readable storage media for execution by at least one of the one or more processors capable of performing a method, the method comprising: collecting heart rate data and acceleration data corresponding to a user while the user is not performing one or more validated fitness assessment tests; extracting one or more features from the heart rate data and the acceleration data; calculating one or more validated fitness assessment scores of the user based on applying a model to the one or more features; and projecting a mobility of the user based on the one or more validated fitness assessment scores.

16 . The computer system of claim 15 , wherein the one or more validated fitness assessment tests are selected from a group consisting of a Timed-Up and Go (TUG), Six Minute Walk Test (6MWT), Two Minute Walk Test (2MWT), 3 Minute Walk Test (3MWT), Ten Minute Walk Test (10MWT), Tandem Walking (TW), Two Minute Step in Place Test, and Sit-to-Stand.

17 . The computer system of claim 15 , wherein the one or more features are selected from a group comprising an hourly index of effective mobility, a gait stability index, an imbalance index, a heart rate recovery rate walk-by-walk, and a time, duration, and steps of one or more walking episodes.

18 . The computer system of claim 17 , wherein the gait stability index, the imbalance index, and the time, duration, and steps of the one or more walking episodes are calculated by extracting one or more individual step durations from the one or more walking episodes.

19 . The computer system of claim 17 , wherein the heart rate recovery rate walk-by-walk is calculated by estimating a baseline and a peak heart rate of the user based on the heart rate data.

20 . The computer system of claim 15 , wherein the model is trained by correlating the one or more features with the one or more validated fitness assessment scores while the user performs the one or more corresponding validated fitness assessment tests.

Assignees

• IBM

Inventors

• Hao Tian
• Rogers Jeffrey L
• Parida Pritish Ranjan

Classifications

• A61B5/02438

  with portable devices, e.g. worn by the patient · CPC title

• A61B5/024

  Measuring pulse rate or heart rate · CPC title

• A61B5/112

  Gait analysis · CPC title

• A61B5/1116

  Determining posture transitions · CPC title

• A61B5/1118

  Determining activity level · CPC title