System and method for automatic muscle movement detection

A medical navigation system for automatically detecting movement of a subject, comprising:

• a video system comprising an optical tracking device, the optical tracking device comprising a camera, the camera configured to couple with an end effector of a plurality of distinct end effectors;
• an intelligent positioning system automatically adjusting position of the camera, the intelligent positioning system comprising an automated arm, a lifting column, and the plurality of distinct end effectors, the automated arm comprising a distal end adapted to couple with the plurality of distinct end effectors in one of switching among, independently using, and collectively using a plurality of distinct imaging instruments, the plurality of imaging instruments comprising the camera, the camera monitoring at least one muscle of the subject throughout a medical procedure, the at least one muscle comprising at least one appropriate muscle related to the medical procedure, and the position of the camera automatically adjusted to perform one of:
• maintain the at least one appropriate muscle within a field of view of the camera and focus on at least one different muscle when so directed;
• a display;
• and
• a controller electrically coupled with the video system and the display, the controller comprising a processor coupled with a memory, the controller configured to:
• receive a data signal from the video system;
• recognize and continuously monitor a portion of the subject within the field of view of the camera;
• provide an alert on the display when movement of the portion of the subject falls within predefined parameters, the predefined parameters indicative of a patient event signifying a physiological state of the subject that is of concern;
• and
• at least one of:
• differentiate a muscle movement comprising a twitch from other muscle movement by determining whether at least one of a frequency and a magnitude of the muscle movement respectively exceeds at least one of a frequency threshold and a magnitude threshold of the other muscle movement, use machine learning and facial analysis software, the facial analysis software comprising an object and facial recognition engine, and use constructive feedforward neural networks for facial expression recognition,
• wherein the intelligent positioning system, the optical tracking device, the automated arm, and the optical tracking markers form a feedback loop, and
• wherein the feedback loop maintains a distal end of a port in constant view and in focus in relation to the end effector.

A medical navigation system for automatically detecting movement of a subject, comprising:

• a 3-dimensional (3D) scanner system comprising a 3D scanning device, the 3D scanning device comprising a 3D scanner, the 3D scanner configured to couple with an end effector of a plurality of distinct end effectors;
• an intelligent positioning system automatically adjusting position of the 3D scanner, the intelligent positioning system comprising an automated arm, a lifting column, and the plurality of distinct end effectors, the automated arm comprising a distal end adapted to couple with the plurality of distinct end effectors in one of switching among, independently using, and collectively using a plurality of distinct imaging instruments, the plurality of imaging instruments comprising the 3D scanner, the 3D scanner monitoring at least one muscle of the subject throughout a medical procedure, the at least one muscle comprising at least one appropriate muscle related to the medical procedure, and the position of the 3D scanner automatically adjusted to perform one of:
• maintain the at least one appropriate muscle within a field of view of the 3D scanner and focus on at least one different muscle when so directed;
• a display;
• and
• a controller electrically coupled with the 3D scanner system and the display, the controller comprising a processor coupled with a memory, the controller configured to:
• receive a data signal from the 3D scanner system;
• recognize and continuously monitor a portion of the subject within the field of view of the 3D scanner;
• provide an alert on the display when movement of the portion of the subject falls within predefined parameters, the predefined parameters indicative of a patient event signifying a physiological state of the subject that is of concern;
• and
• at least one of:
• differentiate a muscle movement comprising a twitch from other muscle movement by determining whether at least one of a frequency and a magnitude of the muscle movement respectively exceeds at least one of a frequency threshold and a magnitude threshold of the other muscle movement, use machine learning and facial analysis software, the facial analysis software comprising an object and facial recognition engine, and use constructive feedforward neural networks for facial expression recognition,
• wherein the intelligent positioning system, the optical tracking device, the automated arm, and the optical tracking markers form a feedback loop, and
• wherein the feedback loop maintains a distal end of a port in constant view and in focus in relation to the end effector.