There is a need to be able to measure the biomechanical patterns of mice recovering from stroke in order to show how they interrelate with the degree of successful recovery, revealing how stroke affects healthy behavior as a function of recovery success.
As a diagnostic tool for stroke recovery, a closed-loop system device that queues and rewards mice in response to the movement of a joystick will be created, (1) tracking and labeling movement of desired features, such as the elbow, individual paws, etc., using neural network As a diagnostic tool for measuring stroke recovery, a closed-loop data acquisition system will be created that (1) acquires behavioral movement data, and (2) rewards the mouse upon successful completion of the behavioral task. The device and analysis software used to interpret the trajectory outputs from the device will be completed and ready for use by April 22nd, 2022.