Methods and systems for performing computer-assisted image-guided surgery, including robotically-assisted surgery. A method of displaying image data includes displaying image data of a patient on a handheld display device, tracking the handheld display device using a motion tracking system, and modifying the image data displayed in response to changes in the position and orientation of the handheld display device. Further embodiments include a sterile case for a handheld display device, display devices on a robotic arm, and methods and systems for performing image-guided surgery using multiple reference marker devices fixed to a patient.

A position is determined for each fiducial marker of a plurality of fiducial markers in an image volume. Based on the determined positions, a position and orientation of the registration fixture with respect to the anatomical feature is determined. A position is determined for each tracked marker of a first plurality of tracked markers on the registration fixture and a second plurality of tracked markers on the robot arm in a tracking data frame. Based on the determined positions of tracked markers, a position and orientation of the registration fixture and the robot arm of a surgical robot with respect to the tracking space are determined.

An apparatus having a ring-shaped housing configured to be wrapped round a finger of a user, the ring-shaped housing having an opening or a joint at a first point round the finger and a first contiguous section that is at a location opposite to the first point across a central axis of the ring-shaped housing; an antenna configured in the ring-shaped housing in the contiguous section; an inertial measurement unit configured to measure motions of the finger; a light-emitting diode (LED) indicator configured on an outer portion of the ring-shaped housing; a charging pad configured to charge a battery configured in the ring-shaped housing; and/or a touch pad configured to receive touch input from a finger of the user.

Devices, systems, and techniques are described for determining surgical guidance for a joint replacement implantation based on dynamic joint analysis. Techniques include receiving patient specific data indicative of pre-operative motion associated with an ankle (300) of a patient and determining, based on the patient specific data, a current kinematic axis (302) of the motion associated with the ankle. Techniques also include determining a target kinematic axis (304) of motion for the ankle, the target kinematic axis being different than the current kinematic axis, and generating a transform function between the current kinematic axis and the target kinematic axis. Additionally, techniques include generating, based on the transform function, a recommended surgical intervention that adjusts tissue associated with the ankle to achieve the target kinematic axis of motion.

A method of tracking motion of a body part, the method comprising: (a) gathering motion data from a body part repositioned within a range of motion, the body part having mounted thereto a motion sensor; (b) gathering a plurality of radiographic images taken of the body part while the body part is in different positions within the range of motion, the plurality of radiographic images having the body part and the motion sensor within a field of view; and, (c) constructing a virtual three dimensional model of the body part from the plurality of radiographic images using a structure of the motion sensor identifiable within at least two of the plurality of radiographic images to calibrate the radiographic images.

An image of a garment is obtained (101). The garment comprises a marker located on an outside surface of the garment. The marker comprises a code string identifying the garment encoded into a visual symbol. The image is processed to generate a data string representing the visual symbol (102). The data string is used to access activity data associated with a sensor of the garment identified by the code string. The system comprises the garment and one or more electronic devices operable to perform the method.

Embodiments relate to a system and method for calibrating a ratio of body size of a subject including setting a body coordinate system of each body segment of the subject, calculating a first rotation matrix from a world coordinate system set based on the ground to a sensor coordinate system of each motion sensor when the subject takes a first basic pose, calculating a second rotation matrix from the world coordinate system to the sensor coordinate system of each motion sensor when the subject takes a second basic pose, calculating a third rotation matrix from the world coordinate system to the body coordinate system of a trunk for a first motion sensor attached to the trunk of the subject, and calculating a ratio of body size of the subject based on the third rotation matrix.

Systems and methods for marker-free motion capture are provided. A method includes: obtaining a plurality of videos of a body of a person; estimating a three dimensional (3D) pose of the person based on the plurality of videos without depending on any marker on the person, the estimating including obtaining a set of 3D body joints; obtaining an animation of motion of the set of 3D body joints that corresponds to motion of the person during a time period; performing an analysis of the motion of the set of 3D body joints; and indicating a rehabilitation evaluation result of the analysis or a rehabilitation training suggestion, based on the analysis, via a display or a speaker.

The present invention is a respiratory monitoring device which uses 2+ sensors to map respiratory motion in patients to interpret into a respiratory effort and severity score. The core components of the invention are contact-based sensors that measure relative motion of the chest, abdomen, and/or other key anatomical features, a processing unit which takes in the data from all sensors, an algorithm that analyzes and compares the data from each sensor to understand relative motion and interpret it into clinically-relevant information, and a display screen that shares this information with clinicians. The sensors are connected to each other and the information processing unit which shares data with the screen for display of a respiratory severity score based on analysis of Thoraco-Abdominal Asynchrony (TAA) or similar indicators of respiratory effort as measured by the sensor network and analyzed by the algorithm.

A mode of analysis of a pattern of interdependent movements of the upper jaw teeth and of the lower jaw teeth by bidirectional synchronising of the digital movement image acquisition technology with haptic technology in a digital analysis of chewing, on the feedback principle, using the Motion Capture technology, based on the identification of the position of preferably optical markers and recording their movements in camera systems, wherein the cameras to be preferably integrated into, at least, two systems, one on the right and the other on the left side of the mouth/face, or as one system to be centrally positioned, opposite to the centre line of the face, wherein each of the systems has at least one, preferably three, cameras including at least one and preferably two monochromatic or colour cameras of a minimum resolution of 2.3 Mpx.