Motion tracking system with inertial-based sensing units
Systems, apparatus, and method of monitoring a position of a joint. An inertial monitoring unit is configured to be coupled to a portion of a patient, such as a thigh. Another inertial monitoring unit is configured to be attached to another portion of the patient, such as a shank, that is connected to the other portion by a joint, such as a knee. The inertial monitoring units detect motion of their respective portions of the patient and transmit data indicative of this motion. These transmissions may be received by a computer and used to determine an orientation of the joint. The inertial monitoring units may also be coupled to vibration detection units and/or ultrasound modules that provide additional data regarding a condition of the joint.
1. A method of tracking orientation of an anatomical feature in three dimensions during a medical diagnosis procedure, the method comprising:
providing a brace comprising at least one accelerometer and at least one gyroscope, where the brace is mounted proximate the anatomical feature to be tracked in three dimensions as part of the medical diagnosis procedure;
collecting data from the at least one accelerometer in real-time;
collecting data from the at least one gyroscope in real-time;
generating orientation information using a processor and the data collected from the at least one accelerometer as part of a prediction model;
at least one of verifying and correcting data output from the at least one gyroscope to address gyroscopic drift using the generated orientation information; and,
determining the orientation of the anatomical feature in real-time using at least one of the data verified and corrected;
displaying a virtual model of the anatomical feature and updating an orientation of the virtual model in real-time to match the determined orientation of the anatomical feature.
2. The method of claim 1 , wherein at least one of verifying and correcting data output from the at least one gyroscope to address gyroscopic drift includes generating three dimensional position information using a-the processor and the data collected from the at least one accelerometer as part of the prediction model.