A detecting method and a positioning analysis method of human functional joint rotation center are provided. The detecting method of human functional joint rotation center includes: step 11: in a continuous motion, a human functional joint rotation center FCR is abstracted as a center of a flexible ball; step 12: at any moment during a test, position coordinates of the center of the ball (i.e. FCR) at the moment are determined according to position coordinates of M1, M2 and M3, and then the motion trajectory of the FCR is obtained in the continuous motion; the positioning analysis method performs positioning analysis of joint positions based on morphological parameters collected by 3D scanning. The detecting method is based on an idea of flexible ball, its operation is simple within a certain error range, and the method performs very well in the continuity of trajectory of joint.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load on a curved surface, joint stability, range of motion, and impingement. In one embodiment, the system is for a ball and socket joint of a musculoskeletal system. The system further includes a computer having a display configured to graphical display quantitative measurement data to support rapid assimilation of the information. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation.

A detecting method and a positioning analysis method of human functional joint rotation center are provided. The detecting method of human functional joint rotation center includes: step 11: in a continuous motion, a human functional joint rotation center FCR is abstracted as a center of a flexible ball; step 12: at any moment during a test, position coordinates of the center of the ball (i.e. FCR) at the moment are determined according to position coordinates of M1, M2 and M3, and then the motion trajectory of the FCR is obtained in the continuous motion; the positioning analysis method performs positioning analysis of joint positions based on morphological parameters collected by 3D scanning. The detecting method is based on an idea of flexible ball, its operation is simple within a certain error range, and the method performs very well in the continuity of trajectory of joint.

A computing system generates, based on medical imaging data of bones of a joint of a patient, bony landmark data that characterizes relationships between two or more landmarks on one or more of the bones of the joint of the patient. Additionally, the computing system applies a classifier algorithm that has been trained using training data to select a class associated with the patient from among a plurality of classes. The classifier algorithm takes the bony landmark data of the patient as input.

Disclosed herein is an endoprosthetic spacer (100, 200, 300) for administering a therapeutic treatment, in particular a theragnostic treatment. The endoprosthetic spacer (100, 200, 300) comprises a body (102) that is configured to replace at least a part of a bone, a sensor assembly (104) comprising at least one sensor (104A, 104B, 104C), a communication module (108) configured to transmit a signal; and a controller (106) configured to read out a sensor signal from the at least one sensor (104A, 104B, 104C) and to transmit an output signal (110) via the communication module (108).

A positioning method of functional rotation center of shoulder based on rigid upper arm model includes: step 1: abstracting a human upper arm into a cylinder with FRCS as a center of top surface; step 2: determining a reference axis vector of the cylinder; step 3: determining an axis vector of the cylinder and a displacement from the reference axis vector to the axis vector; step 4: correcting a central axis direction of the cylinder; step 5: determining a height compensation of the cylinder, and positioning the FRCS. The method has higher accuracy for the positioning result of FRCS, the positioning result of FRCS has better stability relative to the upper arm and trunk, and can be used to establish a more accurate human digital dynamic model and predict more accurate human posture.

A arthroplasty trial tool for a human shoulder can include a handle, a first sensor, and a user interface. The handle can include a first end and a second end opposite the first end. The first sensor can produce a first sensor signal as a function of a sensed shoulder condition. The user interface can be configured to display a first value as a function of the first sensor signal.

Wearable ergonomics improvement systems and related methods are disclosed. An example ergonomics improvement system includes a membrane including a first frame having a plurality of first cutouts defining a first pattern. The system includes a sensor coupled to the membrane and includes a second frame having a plurality of second cutouts defining a second pattern. The first pattern is complementary to the second pattern.

A method for modeling soft tissue includes receiving one or more images showing an anatomical geometry of a first subject. The anatomical geometry includes a soft tissue. The method also includes measuring a plurality of parameters of the anatomical geometry of the first subject using one or more sensors attached to the first subject. The method also includes receiving a first set of material properties for the soft tissue of the first subject, a second subject, or both. The method also includes identifying a second set of material properties that characterizes the soft tissue while the first subject performs a task. The method also includes determining a strain on the soft tissue, a stress on the soft tissue, or both based at least partially upon the one or more images, the parameters, the first set of material properties, and the second set of material properties.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load on a curved surface, joint stability, range of motion, and impingement. In one embodiment, the system is for a ball and socket joint of a musculoskeletal system. The system further includes a computer having a display configured to graphical display quantitative measurement data to support rapid assimilation of the information. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation.