Novel tools and techniques might provide for implementing image-based physiological status determination of users, and, in particular embodiments, for implementing physiological status determination of users based on marker-less motion-capture and generating appropriate remediation plans. In various embodiments, one or more cameras may be used to capture views of a user (e.g., an athlete, a person trying to live a healthy life, or the like) as the user is performing one or more set of motions, and the captured images may be overlaid with a skeletal framework that is compared with similar skeletal framework overlaid images for the same one or more sets of motions. The system can automatically determine a physical condition of the user or a probability that the user will suffer a physical condition based at least in part on an analysis of the comparison, which may be difficult or impossible to observe with the naked human eye.

A method of calculating the stress on a joint by determining when a joint angle is outside the normal range of motion for the joint. Applications include analysis of elbow joint stress for baseball pitchers, for example to mitigate the risk of injury to the ulnar collateral ligament (UCL). During a movement such as a baseball pitch, sensor data is collected to track the position, orientation, or motion of body segments; joint angles are derived from this sensor data. Joint angles are then compared to a range of motion, which may be measured for each individual. Joint stress contributions from movements that exceed the range of motion may be combined over time to calculate cumulative joint fatigue. This joint fatigue measure may for example be used for pitchers to quantify recovery periods (days off) and future workloads (such as maximum pitch counts).

Novel tools and techniques might provide for implementing image-based physiological status determination of users, and, in particular embodiments, for implementing physiological status determination of users based on marker-less motion-capture and generating appropriate remediation plans. In various embodiments, one or more cameras may be used to capture views of a user (e.g., an athlete, a person trying to live a healthy life, or the like) as the user is performing one or more set of motions, and the captured images may be overlaid with a skeletal framework that is compared with similar skeletal framework overlaid images for the same one or more sets of motions. The system can automatically determine a physical condition of the user or a probability that the user will suffer a physical condition based at least in part on an analysis of the comparison, which may be difficult or impossible to observe with the naked human eye.

An imaging support apparatus according to one embodiment includes an input interface and processing circuitry. The input interface receives input of first information about a disease or a case of a subject. The processing circuitry specifies, on the basis of the first information received by the input interface and second information in which the first information and posture information that expresses a posture of the subject suitable to perform imaging of the disease or the case are associated with each other, the posture information corresponding to the first information. Moreover, the processing circuitry causes a display to display the specified posture information.

In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for integrating a body joint rehabilitation regimen with a wearable movement capture device operable in conjunction with a cloud based computing environment. For instance, a wearable apparatus for monitoring activity of a body joint such as knee or elbow for monitoring rehabilitation and recovery after surgical procedures and after injury to the joint is disclosed. Such a wearable apparatus includes a wearable harness in which a first portion of the wearable harness includes an proximal strap to be positioned proximal to the body joint and in which a second portion of the wearable harness includes a distal strap to be positioned distal to the body joint, in which the wearable harness is positionable upon a patient's body at the body joint without occluding a surgical site of the patient. Such a wearable harness further includes a connecting section having a first end connected with the proximal strap and a second end connected with the distal strap and a first buckle housing (smart buckle) secured to the proximal strap of the wearable harness and a second buckle housing secured to the distal strap of the wearable harness, in which the proximal and distal straps maintain the first and the second buckles in a consistent position relative to the axis of an underlying bone such as a thigh bone, calf bone, femur, or tibia of a patient. The wearable harness further includes integrated circuitry including at least a magnetometer and accelerometer within the first buckle and an accelerometer within the second buckle. A microprocessor of the smart buckle periodically reads a switch position on the buckles, reads the magnetometer and accelerometer data and processes the data to determine (i) an angle for the sample period, and periodically classify an activity (e.g., as walking, standing, sitting, elevating, and icing, etc.). Such data is relayed to a cloud computing environment for further analysis and for access by clinicians and patients. Other related embodiments are disclosed.

A device, system and method for monitoring cubital tunnel syndrome (CuTS). The device comprises a body configured to be worn by a user, sensors, a processor, a vibration mechanism, and a power source. The sensors monitor a position of the user's hand to prevent CuTS. The processor of the device is configured to determine if the user's hand is in a CuTS position and the processor is configured to generate an alert signal to alert the user to the CuTS position.

A method of calculating the stress on a joint by determining when a joint angle is outside the normal range of motion for the joint. Applications include analysis of elbow joint stress for baseball pitchers, for example to mitigate the risk of injury to the ulnar collateral ligament (UCL). During a movement such as a baseball pitch, sensor data is collected to track the position, orientation, or motion of body segments; joint angles are derived from this sensor data. Joint angles are then compared to a range of motion, which may be measured for each individual. Joint stress contributions from movements that exceed the range of motion may be combined over time to calculate cumulative joint fatigue. This joint fatigue measure may for example be used for pitchers to quantify recovery periods (days off) and future workloads (such as maximum pitch counts).

Attachments for isokinetic dynamometers and methods of use thereof are provided for use with subjects having limb impairments. An example dynamometer attachment for use with a subject having an impaired limb includes a frame that has fixed thereto a padded limb support, where the padded limb support is configured to secure an impaired limb of the subject. The padded limb support includes a securing mechanism for securing the impaired limb relative to the frame, and the frame is connected to the dynamometer lever arm via an intermediate connector assembly. The connector assembly permits translation of the padded limb support in at least two dimensions relative to the lever arm prior to securing the frame fixedly in place. The translation adjustability of the attachment facilitates the alignment of the dynamometer attachment to the limb or partial limb of the subject without requiring movement of the subject.

A method of performing an objective functional evaluation of a person's physical capacity comprises of a computer program particularly designed to amass and assess test data in accordance with a selected standard. A wide variety of evaluation protocols are incorporated to lead an operator in a step-by-step process. The method includes special testing tools, many of which have been modified to input data directly into the computer diagnostic program. The interface may be a wired or a wireless connection. The software program may use an algorithm to calculate a coefficient of variation for the multiple trials of a test, using the entered data, to providing a determination of validity of the trials. A second algorithm calculates an average result of the condition-specific protocol of tests, after which the software program correlates those average results to a database of normative standards to compute an impairment rating.

A device, system and method for monitoring cubital tunnel syndrome (CuTS). The device comprises a body configured to be worn by a user, sensors, a processor, a vibration mechanism, and a power source. The sensors monitor a position of the user's hand to prevent CuTS. The processor of the device is configured to determine if the user's hand is in a CuTS position and the processor is configured to generate an alert signal to alert the user to the CuTS position.