An articulation rigidity assessment device comprises a single-axis angular velocity sensor attachable to a limb such that an axis of measurement is parallel to a predetermined rotation axis of a bending motion imposed during a dosage administration regime of a drug in order to identify a clinically effective dose as having been administered. A data processor is configured to process an angular velocity sensor signal during the dosage administration, calculate a non-rigidity index of the articulation using the processed signal, wherein the non-rigidity index is the square root of the multiplication of the average of the angular velocity signal by the average peak value of the angular velocity signal. The device outputs feedback of the non-rigidity index at a current dose of the drug, whereby the clinically effective dose is identified as having been administered as a function of the output. A method is also disclosed.

A system for measuring and monitoring physiologically relevant motion of a subject includes at least a motion sensor to measure movement of the subject and produce a series of movement data representing the movement of the subject over a period of time. The system also includes at least a biometric sensor to simultaneously measure biometrics of the subject and produce a series of biometric values of the subject over the period of time. The system is configured to determine a noise-to-signal ratio for the series of movement data as a function of biometric intervals in the series of biometric values and identify at least a portion of the series of movement data as corresponding to a physiologically relevant biorhythm. The system can be used to diagnose and monitor a disease or disorder, including a neurological disorder or a traumatic brain injury.

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.

In one embodiment, the invention relates to systems, methods, and apparatus relating to the detection of a neuropathy such as a periopertive neuropathy. In one embodiment, a wristband comprising a plurality of anodes and cathodes is used. The wristband can be a component in a electrode array that includes a plurality of reference or recording electrodes. The electrode array can be configured to stimulate and collect responsive signals from an ulnar, a median, radial and posterior tibial nerve. The simulation and signal collection can be performed on a continuous basis for time periods of interest such as a given perioperative time period using a monitoring device.

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.

A method of evaluating a joint includes obtaining test data indicative of movement of the joint during a test of the joint, generating visualization data for a three-dimensional representation of the joint to be rendered via a display, generating plane data for a representation of a plane to be rendered via the display with the three-dimensional representation of the joint, the plane having a position and an orientation fixed relative to a bone of the joint, adjusting the visualization data to animate the three-dimensional representation to depict, via the display, the movement of the joint during the test, and adjusting the plane data to update the position and the orientation of the plane in accordance with the movement of the joint.

The present disclosure provides a joint function monitoring device. The joint function monitoring device comprises a bottom base capable of being removably attached to a hinge of an assistive device, a shaft comprising a central pan coupled to the bottom base, and a distal part, a first sensor coupled to the central part of the shaft for monitoring a rotation angle of the shaft, and a belt module coupled to the distal pan of the shaft and capable of being removably attached to a support assembly of the assistive device. A length of the belt module is adjustable.

Segmentation of bony regions in MRI images of joints is automated using a two-stage process. In a first stage, a machine-learning image-slice categorizer is used to categorize image slices of the MRI image data as belonging to one of a set of image-slice categories, depending on presence or absence of bone and/or tendon in the image slice. In a second stage, a first instance of a machine-learning segmentation classifier is used to segment image slices that contain both bone and tendon into bone and non-bone regions, and a second instance of a machine-learning segmentation classifier is used to segment image slices that contain bone but not tendon into bone regions and non-bone regions. Results from the two segmentation classifiers can be combined across image slices to provide a final segmentation of the bony structures, including inflammatory regions, in the image data.

In one embodiment, the invention relates to systems, methods, and apparatus relating to the detection of a neuropathy such as a perioperative neuropathy. In one embodiment, a wristband comprising a plurality of anodes and cathodes is used. The wristband can be a component in a electrode array that includes a plurality of reference or recording electrodes. The electrode array can be configured to stimulate and collect responsive signals from an ulnar, a median, radial and posterior tibial nerve. The simulation and signal collection can be performed on a continuous basis for time periods of interest such as a given perioperative time period using a monitoring device.

A pressure sensing brace includes a strap having two sides, one side configured to be positioned over and removably fastened to a body surface over a preselected body muscle. The brace further includes a pressure sensor integrated with the strap and configured to detect changes in pressure applied to said one side of said strap in response to a change in the status of said preselected body muscle from a relaxed state to a flexed state, and vice versa. The pressure sensing brace can include a haptic feedback module, visual indicators, motion sensors, and other forms of indicators that will provide a means when the strap experiences a certain level of pressure. The brace can provide feedback allowing a user to monitor the state of a body part involved in a certain activity so the user can adjust their effort level based upon the tension in the body part.