Enjoy your
FREE PREVIEW which shows only 2022 data and 25 documents. Contact
Patent Forecast for full access.
AI Biotech/Diagnostics: Cardio
Search All Patents in AI Biotech/Diagnostics: Cardio
Patent US10524697
Issued 2020-01-07
System And Method For Monitoring Motor Recovery In A Post Acute Stroke Treatment
System and method for monitoring motor recovery in a post-stroke treatment is disclosed. Motor activity data corresponding to limbs movement is collected during an acute stroke period. The motor activity data is transmitted to at least one base station and an activity value for each arm of two arms is calculated in a predefined time window by using the motor activity data. The activity value for each arm is compared thus providing the monitoring of the motor activity.
Much More than Average Length Specification
View the Patent Matrix® Diagram to Explore the Claim Relationships
USPTO Full Text Publication >
- 1. A system for monitoring motor recovery in a post-acute stroke period, the system comprising:
at least one sensor, for collecting a motor activity of an affected and unaffected limb movement of a subject, wherein the motor activity is sensed at the post-acute stroke period; a first processor communicatively coupled to the at least one sensor; a memory unit coupled to the first processor, wherein the memory unit stores a plurality of modules to be executed by the first processor, wherein the plurality of modules are configured for:
transmitting data associated with the motor activity data to at least one base station; and
the at least one base station comprising:
a receiver for receiving the motor activity data; and
a second processor with a memory, wherein the memory stores a plurality of modules to be executed by the second processor, and wherein the plurality of modules are configured for:
time-stamping the motor activity data from the at least one sensor;
calculating an activity value for the affected limb and the unaffected limb from the motor activity data in a predefined time window;
comparing the activity values for the affected limb and the unaffected limb of the subject to monitor the motor activity of the affected limb;
displaying at least one of the motor activity data and the results of the comparison in a suitable visual form;
storing the motor activity data and the activity values on a cloud network for performing a time-frequency analysis of the data for calculating a recovery status of the subject;
creating one or more labels, based on received motor activity data and calculated activity values;
applying machine learning models to the created labels for predicting motor deterioration and motor recovery;
initiating one or more actions based on the recovery status;
issuing an alert when the difference in the activity values exceeds a predetermined threshold; and
sending a message to an electronic device associated with a user.
- 10. A method for providing motor recovery monitoring in a post-acute stroke period, the method comprising:
collecting, by at least one sensor, a motor activity of an affected and unaffected limbs movement of a subject, wherein the motor activity data is collected at the post-acute stroke period; transmitting, by the at least one sensor, data associated with the motor activity to at least one base station; time-stamping the motor activity data received from the at least one sensor, at the base station; calculating, by a processor, an activity value for the affected limb and the unaffected limb of the subject, by using the motor activity data in a predefined time window; comparing, by the processor, the activity values for the affected limb and the unaffected limb of the subject; displaying at least one of the motor activity data and the results of the comparison in a suitable visual form; storing the motor activity data and the activity values on the cloud for performing a time-frequency analysis of the data for calculating a recovery status of the subject, from the motor activity data from a predefined time window; creating one or more labels, based on the received motor activity data and calculated activity values; applying machine learning models to the created labels for predicting motor deterioration and motor recovery; initiating one or more actions based on the recovery status; issuing an alert when the difference in the activity values exceeds a predetermined threshold; and sending a message to an electronic device associated with a user.
