A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

In some embodiments, an example method or system consistent with the present disclosure may: obtain a desired property of a simulated trajectory of a virtual camera; receive a first video of a wound captured by a moving camera, the first video including a plurality of frames; use the desired property of the simulated trajectory of the virtual camera to analyze the first video to select at least two frames of the plurality of frames corresponding to the simulated trajectory of the virtual camera; use the desired property of the simulated trajectory of the virtual camera to select an order for the selected at least two frames; and rearrange the at least two frames based on the selected order to create a new video of the wound that represents the simulated trajectory of the virtual camera.

A computing device, such as a wearable device, may include at least two electrodes mounted on a body. The computing device may determine an electrical signal associated with a circuit that includes the at least two electrodes and the user. A pressure applied to at least one electrode of the at least two electrodes may be determined from the electrical signal, and at least one function of the computing device may be implemented, based on the pressure.

A current sensor may take measurements of electrical currents that flow between two limbs of a patient through at least a portion of the patient's torso. The current measurements may be taken during a single diagnostic session while the patient holds a ground electrode in a hand of one limb and a probe electrode is sequentially placed at different locations on the distal portions of other limbs. Each of the measurement locations may be an acupuncture point. An electrical current state for the diagnostic session may be calculated. This state may consist of current ranges for one or more electrical currents that are measured during the session. A lookup table may be employed to determine one or more medical conditions that are indicated by the current state. Alternatively, a trained machine learning model may predict, based on the measured currents, one or more medical conditions.

Methods and apparatus for guiding medical care based on sensor data from the gastrointestinal tract are described utilizing an apparatus which can be used with enteral feeding. Generally, the apparatus includes an elongated body having a length configured for insertion into a stomach and at least one pair of electrodes located along the length of the elongated body and positionable for placement within the stomach. A controller in electrical communication with the at least one pair of electrodes is included and the control may also be configured to measure a conductivity or impedance between the pair of electrodes and to determine a gastric residual volume of the stomach based on the measured conductivity or impedance.

In some embodiments, an apparatus for imaging blood within a target region of tissue includes an imaging device configured to output image data associated with light received by the imaging device having a first and second spectral ranges, wherein the absorptivity by blood of light having the first spectral range is less than the absorptivity by blood of light having the second spectral range, and a controlling element configured to capture the image data associated with light received by the imaging device and to process the captured image data associated with light having the first spectral range and the captured image data associated with light having the second spectral range to generate compound image data associated with an amount of blood within the target region of tissue.

A method for training a model for use in monitoring a health parameter in a person is disclosed. The method involves receiving control data that corresponds to a control element, wherein the control data corresponds to a health parameter of a person, receiving stepped frequency scanning data that corresponds to radio waves that have reflected from the control element, wherein the stepped frequency scanning data includes frequency and corresponding amplitude and phase data over a range of frequencies, generating training data by combining the control data with the stepped frequency scanning data in a time synchronous manner, and training a model using the training data to produce a trained model, wherein the trained model correlates stepped frequency scanning data to values that are indicative of a health parameter of a person.

Disclosed are processes including receiving at least a first and a second image data record corresponding to a first and a second point in time and including a first and a second one or more images of a wound; obtaining an image of the wound from a particular point of view corresponding to the first point in time by analyzing the first image data record; generating a simulated image of the wound from the particular point of view corresponding to the second point in time by analyzing the second image data record; and generating a visual time series view of the wound including at least the image of the wound from the particular point of view corresponding to the first point in time and the simulated image of the wound from the particular point of view corresponding to the second point in time.

Embodiments consistent with the present disclosure provide systems, methods, and devices for providing wound capturing guidance. In one example, consistent with the disclosed embodiments, an example system may: display, on a mobile device, a user interface configured to guide a patient through one or more steps for performing a medical action, the plurality of steps including at least: using at least one item of a medical kit; and capturing at least one image of at least part of the at least one item of the medical kit using at least one image sensor associated with the mobile device. The example system may also: detect a failure to successfully complete the medical action; select from one or more alternative reactions, a reaction to the detected failure likely to bring a successful completion of the medical action; and provide instructions associated with the selected reaction.

A non-transitory computer readable medium storing data and computer implementable instructions that, when executed by at least one processor, cause the at least one processor to perform operations for generating cross section views of a wound, the operations including receiving 3D information of a wound based on information captured using an image sensor associated with an image plane substantially parallel to the wound; generating a cross section view of the wound by analyzing the 3D information; and providing data configured to cause a presentation of the generated cross section view of the wound.