A system and kit for capturing a 3D image of a body a user includes a plurality of pillar segments being configurable between an assembled configuration and a disassembled configuration. In the assembled configuration, the pillar segments are joined to form one or more upstanding sensing pillars. A plurality of sensors operable to capture image data are distributed along the one or more sensing pillars. The plurality of sensors have fields of view that are overlapping when supported on the sensing pillars. In the disassembled configuration, transportation of the pillar segments is facilitated. The system and kit may be suitable for use at a remote location. Additional functionalities may include a power storage unit, solar charging panels, climate control subsystem, and wireless communication submodule. In operation, the sensing pillars may be enclosed within an enclosure.

The present disclosure provides methods and devices for assessing movement. In some exemplary embodiments, a system for assessing movement is provided. In some embodiments, the system includes a handheld device. In some embodiments, the handheld device includes a plurality of sensors configured to record motion and position data, a body having a plurality of sides, a battery, and a proximal end configured to interact with a touchscreen of a computing device.

Body fluid management systems and associated methods include in-line measurement and/or detection of analytes, contaminants, and/or physical characteristics for the diagnosis or detection of disease, infection, or toxicity.

A neuromodulation system for treatment of physiological disorders. The system includes one or more stimulators for stimulating one or more cranial nerves; one or more detectors configured for detecting a predetermined physiological state; and a control unit that controls nerve stimulation by the one or more stimulators so that it is synchronized with the at least one predetermined physiological state detected by the one or more detectors. A method of neuromodulating a patient for treatment of physiological disorder. The method includes the steps of detecting a predetermined physiological state and applying stimulation to one of the cranial nerves during the predetermined physiological state by one or more stimulators of a neuromodulation system.

Methods and systems for determining whether brain tissue is indicative of a disorder, such as a neurodegenerative disorder, are provided. The methods and systems generally utilize data processing techniques to assess a level of congruence between measured parameters obtained from magnetic resonance imaging (MRI) data and simulated parameters obtained from computational modeling of brain tissues.

A system and kit for capturing a 3D image of a body a user includes a plurality of pillar segments being configurable between an assembled configuration and a disassembled configuration. In the assembled configuration, the pillar segments are joined to form one or more upstanding sensing pillars. A plurality of sensors operable to capture image data are distributed along the one or more sensing pillars. The plurality of sensors have fields of view that are overlapping when supported on the sensing pillars. In the disassembled configuration, transportation of the pillar segments is facilitated. The system and kit may be suitable for use at a remote location. Additional functionalities may include a power storage unit, solar charging panels, climate control subsystem, and wireless communication submodule. In operation, the sensing pillars may be enclosed within an enclosure.

In one example in accordance with the present disclosure, an emitter system is described. The emitter system includes an array of emitters. Each emitter emits waves towards a target surface. The emitter system also includes a control system. The control system includes a sensing system to determine whether emitters in the array are properly positioned relative to the target surface. A controller of the control system adjusts emitter sets of the array of emitters based on an output of the sensing system.

Systems and methods described herein provide techniques for detecting subject behavior by processing video data using one or more trained models configured to detect subject behavior. The described system processes sets of frames from the video data using different trained models. The system further processes different orientations of the sets of frames. The various outputs from the different trained models and from processing the different orientations of the sets of frames may be combined to then make a final determination as to whether the subject is exhibiting a particular behavior during a particular frame.

A system for tracking biomarkers in subjects. In one embodiment, the biomarker tracking system has a sensory array including an RGB-D camera or RGB camera, a memory, and an electronic processor. The microphone captures voice data, including but not limited to tremor detection data, speech volume and pronunciation data, speech strength data, changes in tonality, hesitance in voice, and changes in speed or verbiage. A stored baseline biomarker model may comprise a voice data profile which may be pre-stored in the memory of a server and include a plurality of benchmarks. This electronic processor is configured to use this pre-stored voice data and compare it to the voice data captured with the microphone. The electronic processor is further configured to determine a set of attributes for the voice data, and generates a speech data deviation model based, at least in part, on the comparison of the speech data to the stored baseline biomarker model.

A neuromuscular disease evaluation device that is less invasive, highly sensitive, quantitative and objective, and capable of easily evaluating neuromuscular diseases. A device for evaluating motor functions related to neuromuscular diseases, comprising: a memory unit storing a reference value for evaluating a predetermined movement, which is calculated based on a position of at least one body part; an analysis unit for identifying a position of a body part of the user by analyzing information based on an image captured of the predetermined movement, including the user's body; and an evaluation unit for evaluating the motor function based on the numerical value calculated based on the position of the body part of the user and the reference value.