The described technology generally relates to wearable devices, smart apparel, systems and methods for movement wellbeing, and performance through haptic feedback. One or more wearable devices (e.g., standalone or incorporated into apparel, accessories, or other wearable items) may promote neuromuscular feedback for joint centration often referred as joint stability. Joint centration or joint stability combines the functioning cartilage, ligaments, fascia, tendons, and muscles that allow joints to stay secure as forces transfer through them during movement with minimal stress on the passive soft structures. In some embodiments, there may be an electronic control unit with at least one sensor to detect user's joint movement, such as movement on a three-axis position or joint speed, and acceleration. Depending on the movement of the users, the electronic control may communicate joint movement to a user and provide cues for joint stability, joint movement range, muscle memory, and body position awareness.

Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.

Methods of diagnosis, prognosis, and treatment of a neurological disease using cribriform plate morphology are provided.

A method, performed by a computer, for measuring geometric length and offset differences of a subject element using landmarks obtained through, for example, analysis of medical data images. The method may include obtaining medical image data from a medical imaging device. The method includes measuring, by the computer, a first landmark vector between a femoral landmark and a second landmark at a first point in time from, for example, the medical data images. Further, the method includes measuring, by the computer, a second landmark vector between the femoral landmark and the second landmark at a second point in time which is later than the first point in time from, for example, the medical data images. Calculating an orthogonal projection of the first landmark vector into a sagittal plane and using the direction of the orthogonal projection of the first landmark vector into the sagittal plane as a length direction. Calculating a direction which is perpendicular to the sagittal plane and using this direction as an offset direction and calculating the length difference in the length direction and the offset difference in the offset direction from the first landmark vector and the second landmark vector.

A connected healthcare environment comprising: (a) an electronic central data storage communicatively coupled to at least one database comprising at least one of a statistical anatomical atlas and a kinematic database; (b) a computer running software configured to generate instructions for displaying an anatomical model of a patient's anatomy on a visual display; (c) a motion tracking device communicatively coupled to the computer and configured to transmit motion tracking data of a patient's anatomy as the anatomy is repositioned, where the software is configured to process the motion tracking data and generate instructions for displaying the anatomical model in a position that mimics the position of the patient anatomy in real time.

In one example, a sensor is configured to be implanted into a patient's body. The sensor has at least one sensing element, a measurement device in communication with the at least one sensing element, and an internal wireless communicator in communication with the measurement device. The at least one sensing element includes a resistor, and the measurement device includes a capacitor. The measurement device measures a discharge time of the capacitor through the resistor so as to generate a measurement value that is proportional to a value of an anatomical property of the anatomical body, such as strain, that is observed by the sensor. The internal wireless communicator wirelessly communicates the measurement value through skin of the patient to an external wireless communicator situated outside of the patient's body.

A system for simulating surgical methods includes a method for thorax simulation modelling. The thorax simulation modeling is generally useful in facilitating the development and optimization of person specific surgical methods and materials.

A method of determining data model for use in predicting a state of a user based on collected biometric data collected via a sensor platform, the method comprising receiving from sensors of the sensor platform a plurality of the biometric data; extracting a plurality of representative features from the plurality of biometric data; receiving a plurality of user affect parameters associated with the plurality of representative features; correlating the plurality of user affect parameters with the plurality of representative features to determine a set of representative feature-affect pairings for the data model as a plurality of model data parameters; and storing the data model for subsequent use in determining the real time state of the user.

Systems, methods, and computer-readable media are disclosed for identifying when a subject is likely to be affected by a medical condition. For example, at least one processor may be configured to receive information reflective of an external soft tissue image of the subject. The processor may also be configured to perform an evaluation of the external soft tissue image information and to generate evaluation result information based, at least in part, on the evaluation. The processor may also be configured to predict a likelihood that the subject is affected by the medical condition based, at least in part, on the evaluation result information.

Systems, methods, and computer-readable media are disclosed for identifying when a subject is likely to be affected by a medical condition. For example, at least one processor may be configured to receive information reflective of an external soft tissue image of the subject. The processor may also be configured to perform an evaluation of the external soft tissue image information and to generate evaluation result information based, at least in part, on the evaluation. The processor may also be configured to predict a likelihood that the subject is affected by the medical condition based, at least in part, on the evaluation result information.