Method for assessing cognitive function and predicting cognitive decline through quantitative assessment of the TUG test
Inventors
Assignees
Interested in licensing this patent?
MTEC can help explore whether this patent might be available for licensing for your application.
Publication Number
US-9659150-B2
Publication Date
2017-05-23
Expiration Date
Abstract
Methods and systems may provide for cognitive decline prediction or assessment. Baseline and follow-up inertial sensor data may be received from one or more inertial sensors attached to a person. Baseline and follow-up data indicative of cognitive decline may be received from the person. An indication of cognitive decline may be determined based on the baseline and follow-up cognitive decline data. A classifier function for predicting cognitive decline may be trained with the baseline inertial sensor data and the indication of cognitive decline. A classifier function for assessing cognitive decline may be trained with the baseline inertial sensor data, a difference between the baseline inertial sensor data and follow-up inertial sensor data, and the indication of cognitive decline.
Core Innovation
The disclosed approach predicts or assesses cognitive decline by receiving inertial sensor data directly from one or more inertial sensors attached to a person's shank performing a quantitative timed-up-and-go (QTUG) test. The inertial sensor data includes shank angular velocity data comprising measured gait parameters related to the person sitting, walking, and turning. A time subsequent to the QTUG test enables receipt of additional inertial sensor data indicative of cognitive function measured during a subsequent QTUG test.
An indication of cognitive decline is determined based on a difference between the inertial sensor data indicative of cognitive function and the additional inertial sensor data, including a difference between the gait parameters. The method then generates a classifier function that associates the received inertial sensor data with the determined indication of cognitive decline in the person, as a prediction for cognitive decline in other persons. After generation, inertial sensor data is collected from another person performing the QTUG test and the generated classifier function is used to associate the collected inertial sensor data with an indication of cognitive decline in the another person.
The predicted result provided to a user classifies the another person as either having cognitive decline or being cognitively intact. In further embodiments, the determination uses baseline inertial sensor data and follow-up inertial sensor data, determines a change between them, and determines an indication of cognitive decline based on the baseline and the change. The classifier function associates the received baseline inertial sensor data and the determined change with the indication of cognitive decline, and provides an assessment of whether the another person has experienced cognitive decline based on their other baseline and other follow-up inertial sensor data.
Claims Coverage
Independent claims cover a non-transitory computer-readable medium and corresponding systems that use shank-attached inertial sensors during a QTUG test to derive an indication of cognitive decline from baseline and/or follow-up data and to generate and apply a classifier function. Across the independent claims, the inventive features center on difference-based cognitive-decline determination and classifier-based cognitive-decline prediction/assessment with classification into cognitive decline versus cognitively intact.
Shank-attached QTUG inertial data reception for cognitive decline indication
Receiving inertial sensor data directly from one or more inertial sensors attached to a person's shank that performs a quantitative timed-up-and-go (QTUG) test, including shank angular velocity data comprising measured gait parameters related to the person sitting, walking, and turning.
Subsequent QTUG inertial data reception to compute difference
Receiving, at a time subsequent to receiving the inertial sensor data from the QTUG test, additional inertial sensor data indicative of cognitive function directly from the one or more inertial sensors, including shank angular velocity data comprising gait parameters related to the person sitting, walking, and turning measured during a subsequent QTUG test.
Difference-based cognitive decline determination from gait parameters
Determining an indication of cognitive decline in the person based on a difference between the inertial sensor data indicative of cognitive function and the received additional inertial sensor data, including a difference between the gait parameters.
Classifier function association for prediction in other persons
Generating a classifier function that associates the received inertial sensor data with the determined indication of cognitive decline in the person as a prediction for cognitive decline in other persons.
Applying classifier to another person's QTUG data for user classification
Using the generated classifier function, associating the collected inertial sensor data from the QTUG test from the another person to an indication of cognitive decline in the another person and providing, using the association from the generated classifier function, to a user a prediction of whether the another person will experience cognitive decline based on the inertial sensor data collected from the another person, wherein the prediction provided to the user comprises a classification of the another person as either having cognitive decline or being cognitively intact.
Baseline and follow-up QTUG change-based cognitive decline indication
Receiving baseline inertial sensor data directly from one or more inertial sensors attached to a person's shank that performs a quantitative timed-up-and-go (QTUG) test; receiving, at a time subsequent to the receiving baseline inertial sensor data, follow-up inertial sensor data from the person; determining a change between the baseline inertial sensor data and the follow-up inertial sensor data; determining an indication of cognitive decline in the person based on the baseline inertial sensor data; determining an indication of cognitive decline in the person based on the change; and generating a classifier function that associates the received baseline inertial sensor data and the determined change with the indication of cognitive decline in the person.
Baseline/follow-up classifier-based cognitive decline assessment for another person
After generation of the classifier function, receiving other baseline inertial sensor data from another person that performs the QTUG test; receiving other follow-up inertial sensor data directly from the one or more inertial sensors from the another person; determining a change between the other baseline inertial sensor data and the follow-up inertial sensor data of the another person; using the generated classifier function to associate the follow-up inertial sensor data and the determined change from the another person to an indication of cognitive decline in the another person; and providing, using the association of the generated classifier function, to a user an assessment of whether the another person has experienced cognitive decline based on the other baseline inertial sensor data and the other follow-up inertial sensor data collected from the another person, wherein the assessment provided to the user comprises a classification of the another person as either having cognitive decline or being cognitively intact.
Across the independent claims, the coverage requires shank-attached inertial sensing during QTUG, receipt of baseline and subsequent (follow-up/additional) inertial data, determination of an indication of cognitive decline based on differences or changes in gait parameters, and generation/application of a classifier function to provide a user classification of cognitive decline versus cognitively intact for another person.
Stated Advantages
Provides a prediction of whether another person will experience cognitive decline based on QTUG inertial sensor data.
Provides an assessment of whether another person has experienced cognitive decline based on other baseline and other follow-up inertial sensor data.
Classifies an individual as either having cognitive decline or being cognitively intact.
Documented Applications
Predicting a user-facing cognitive decline outcome (cognitive decline versus cognitively intact) for another person based on QTUG inertial sensor data collected from that another person.
Interested in licensing this patent?