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.

An apparatus comprising at least one sensor to detect the position and/or orientation of a body portion of a subject, the sensor in communication with a computing device to process sensor data and optionally a transmitter to transmit sensor data between the sensor and the computing device and/or one or more computing devices.

The present invention relates to devices and methods for balancing joints, including knee joints. The devices convert unequal forces at a joint to a rotation or displacement of a pointer or gauge. The devices are able to display the relative difference in force between the lateral and medial sides of a joint from flexion to extension. In certain aspects, the devices are useful for balancing the knee during total knee surgery. The devices can be inserted between the trial femoral and tibial components of the knee and measures whether one condyle experiences more force than the other.

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 an embodiment, the present disclosure pertains to a method of determining an angular motion in a subject. The method generally includes one or more of the following steps of: (1) applying a wearable system to a body region of the subject; (2) utilizing the wearable system to sense one or more parameters; and (3) correlating the one or more parameters to the angular motion in the subject. In an additional embodiment, the present disclosure pertains to a wearable system for determining angular motion in a subject. Generally, the wearable sensor includes one or more fabrics for sensing one or more parameters of a body region of a subject.

A system for utilizing wearable, wireless-connected sensors that record both IMU and EMG muscle activity for rehabilitation with kinematic monitoring is disclosed. The system runs an efficient quaternion-based complementary filter that estimates the sensor orientation while correcting for estimate drift and constraining magnetometer estimates to only influence heading. The difference in the two sensor orientations is used to estimate the joint angle, which can be further improved with joint axis estimation. Thus, successful tracking of joint angle and muscle activity in a home environment can be accomplished with the sensors and a smartphone. Further, a system utilizing these sensors may include video-capable cameras configured for capturing a video of a pose of the user, and a game framework executable by a processor in communication with the sensors and the cameras. The system may include a game framework configured to utilize a pose trajectory and one or more joint angles determined using the sensors to provide biofeedback to a user.

The present invention relates to devices and methods for balancing joints, including knee joints. The devices convert unequal forces at a joint to a rotation or displacement of a pointer or gauge. The devices are able to display the relative difference in force between the lateral and medial sides of a joint from flexion to extension. In certain aspects, the devices are useful for balancing the knee during total knee surgery. The devices can be inserted between the trial femoral and tibial components of the knee and measures whether one condyle experiences more force than the other.

An apparatus for evaluating leg movement characteristics of a patient is provided. The apparatus comprises a base assembly configured to at least partially support the patient's torso; and first and second leg support assemblies independently pivotably mounted about a pivot axis relative to the base assembly. Each leg support assembly is configured to at least partially support a portion of a respective one of the first and second legs, independent of the support of the torso. Each of the leg support assemblies also comprises: a first leg support member including a foot rotation assembly configured to at least partially retain and support an associated foot of the patient and to rotate it about an axis of rotation relative to the base assembly; and a second leg support member configured for supporting a portion of the leg at a location proximal relative to the first leg support member.

Provided is a three-dimensional (3D) spring array device that is connected to an end effector of a mechanical impedance estimating robot so as to verify reliability and accuracy of the mechanical impedance estimating robot, the 3D spring array device including a fixed body having an internal space therein, a moving body positioned in the internal space, and at least one spring configured to connect the fixed body to the moving body in the internal space.

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.