A surgical visualization feedback system is disclosed. The surgical visualization feedback system comprises an emitter assembly configured to emit electromagnetic radiation toward an anatomical structure. The emitter assembly comprises a structured light emitter configured to emit a structured light pattern on a surface of the anatomical structure and a spectral light emitter configured to emit spectral light capable of penetrating the anatomical structure. The surgical visualization feedback system further comprises a waveform sensor assembly configured to detect reflected electromagnetic radiation corresponding to the emitted electromagnetic radiation and a control circuit in signal communication with the waveform sensor assembly. The control circuit is configured to receive an input corresponding to a selected surgical procedure, determine an identity of a targeted structure within the anatomical structure based on the selected surgical procedure and the reflected electromagnetic radiation, and confirm the determined identity of the targeted structure through a user input.

Provided are systems and methods for improving movement irregularities.

A plurality of modules are simultaneously positioned at locations that correspond to different angiosomes. Each of these modules has a front surface shaped and dimensioned for contacting a person's skin, a plurality of different-wavelength light sources aimed in a forward direction, and a plurality of light detectors aimed to detect light arriving from in front of the front surface. Each module is supported by a support structure (e.g., a strap or a clip) that is shaped and dimensioned to hold the front surface adjacent to the person's skin at a respective position. Perfusion in each of the angiosomes is monitored using these modules, and the surgeon can rely on this information to guide his or her intervention.

Systems and methods are provided for testing the ability of an individual to lift objects under various conditions. During standard lifting tests, the average acceleration and velocity of each lift, as well as the distribution of force between the hands and feet of the patient, are electronically measured and recorded. These objective factors can then be used to determine whether the patient is exerting maximal effort, and to assess a patient's condition and progress during a rehabilitation program. In example embodiments, one or more components of the system are adjustable so as to accommodate users of various posture, mechanics, size and movement capabilities.

A method for displaying guidance information using a graphical user interface during an medical procedure comprises displaying, in a first mode of the graphical user interface, first image data from a perspective corresponding to a distal end of an elongate device. The first image data includes a virtual roadmap. The method also comprises transitioning from the first mode of the graphical user interface to a second mode of the graphical user interface. The transition is based on an occurrence of a triggering condition. The method also comprises displaying, in the second mode of the graphical user interface, second image data from a perspective corresponding to the distal end of the elongate device. The second image data includes a target indicator corresponding to a target location and an alignment indicator corresponding to an expected location of the medical procedure at the target location.

A sensor interface is configured to receive a sensor signal. A transmitter generates a transmit signal. A receiver receives the signal corresponding to the transmit signal. Further, a monitor interface is configured to communicate a waveform to the monitor so that measurements derived by the monitor from the waveform are generally equivalent to measurements derivable from the sensor signal.

An example radiography scanning system includes: a radiation detector configured to generate digital images based on incident radiation; a radiation source configured to output the radiation toward the radiation detector; a thermal sensor configured to capture thermal images and having a field of view that at least partially overlaps a projection field of the radiation; and a computing device configured to: control the radiation source; receive the digital images from the radiation detector; receive the thermal images from the thermal camera; and output the digital images and the thermal images, in real-time, to a display device.

Example methods and systems may be used intraoperatively to help surgeons perform accurate and replicable surgeries, such as knee arthroplasty surgeries. An example system combines real time measurement and tracking components with functionality to compile data collected by the hardware to register a bone of a patient, calculate an axis (e.g., mechanical axis) of the leg of the patient, assist a surgeon in placing cut guides, and verify a placement of an inserted prosthesis.

A biological signal analysis device includes: an acquiring unit configured to acquire biological signals of a measurement target; a trigger information acquiring unit configured to acquire, from a stimulator configured to apply stimuli to the measurement target, trigger information indicating times at which the stimuli are generated; and a signal processing unit configured to process the biological signals. The signal processing unit is configured to calculate biological information on the measurement target based on the biological signals, maintain only pieces of trigger information corresponding to times at which it is determined that biological signals of the measurement target are generated, from the calculated biological information, delete another piece of trigger information, and use an averaged waveform that is obtained by performing an averaging process on the biological signals that are generated in synchronization with the stimuli based on the pieces of remaining trigger information.

A method for remotely assessing oral health of a user of a mobile device by obtaining, using the mobile device (40), at least one digital image (1) of said user's (30) oral cavity (31) and additional non-image data (2) comprising anamnestic information about the user (30). The digital image (1) is processed both using a statistical object detection algorithm (20) to extract at least one local visual feature (3) corresponding to a medical finding related to a sub-region of said user's oral cavity (31); and also using a statistical image recognition algorithm (21) to extract at least one global classification label (4) corresponding to a medical finding related to said user's oral cavity (31) as a whole. An assessment (10) of the oral health of said user (30) is determined based on the local visual feature(s) (3), the global classification label(s) (4) and the non-image data (2).