The present disclosure provides methods and apparatus for evaluating tissue structure in damaged or healing tissue. The present disclosure also provides methods of identifying a patient at the onset of risk of pressure ulcer or at risk of the onset of pressure ulcer, and treating the patient with anatomy-specific clinical interventions selected, based on spectral imaging (SI). The present disclosure also provides methods of stratifying groups of patients based on risk of wound development and methods of reducing incidence of tissue damage in a care facility. The present disclosure also provides methods to analyze trends of SI intensities to detect tissue damage before it is visible, and methods to compare bisymmetric SI intensities to identify damaged tissue.

An allergy testing system comprises a skin test device having a grip portion for holding the device. One or more legs extend from the grip, and each leg is oriented to interact with a well containing a potential allergen. Each leg has a test head, and each test head has a plurality of elongated spike members. The elongated spike members have a sharp end configured to receive the potential allergen from a well and to puncture a patient's skin. In addition, each test head has a touch activator. The touch activator is longer than the plurality of elongated spike members, such that during an allergy test, the touch activator comes into contact with the skin prior to the elongated spike members, causing the touch activator to activate nerve tissue that blocks transmission of pain, resulting in a reduction of pain and/or discomfort during testing.

A system, method, and computer readable media are provided for obtaining a first set of skin data from an image capture system including at least one ultraviolet (UV) image of a user's skin. Performing a correction on the skin data using a second set of skin data associated with the user. Quantifying a plurality of skin parameters of the user's skin based on the first skin data, including quantifying a bacterial load. Quantifying the bacterial load by applying a brightness filter to isolate portions of the at least one UV image containing fluorescence, applying a dust filter, identifying portions of the at least one UV image that contain fluorescence due to bacteria, and determining a quantity of bacterial load in the users skin. Determining, using a machine learning model, an output associated with a normal skin state of the user and a current skin state of the user.

This disclosure describes devices, systems, and methods related to therapy devices that are operable in multiple operating modes. An exemplary therapy device is configured to be coupled to a patient and includes a stimulation generator and a controller coupled to the stimulation generator. The controller is configured to transition the stimulation generator from operating in a first operating mode to operating in a second operating mode responsive to determining activity of the patient.

The present disclosure provides methods and apparatus for evaluating tissue structure in damaged or healing tissue. The present disclosure also provides methods of identifying a patient at the onset of risk of pressure ulcer or at risk of the onset of pressure ulcer, and treating the patient with anatomy-specific clinical interventions selected, based on pressure measurements. The present disclosure also provides methods of stratifying groups of patients based on risk of wound development and methods of reducing incidence of tissue damage in a care facility. The present disclosure also provides methods to analyze trends of pressure values to detect tissue damage before it is visible, and methods to compare bisymmetric pressure values to identify damaged tissue.

The present specification discloses a method capable of automatically recognizing an accurate wound boundary and a method of generating a 3D wound model based on the recognized wound boundary. The method of automatically recognizing a wound boundary according to the present specification is a method of automatically recognizing a wound boundary based on artificial intelligence, and may photograph several frames of the wound to be recognized with an RGB-D camera, separating measurement information in an image, amplifying image data for learning, and passing the amplified image data through an artificial neural network. The method may include generating a three-dimensional (3D) model by performing boundary recognition post-processing on the data passing through the artificial neural network to match a two-dimensional (2D) image with the 3D model.

A wearable treatment and analysis module is provided. The module is positioned on or near a body surface region of interest. The module provides remote access to sensor data, treatment administration, and/or other health care regimens via a network connection with a user device and/or management system.

A system for monitoring and measuring itch of a patient includes a wearable device including an actigraph sensor; and a controller electrically connected to the wearable device and including a processor and a memory. The wearable device is configured to measure, via the actigraph sensor, a movement of the patient; and send data indicative of the measured movement of the patient to the controller. The controller is configured to receive, via the processor, the data indicative of the measured movement; and determine, via the processor, a scratching movement of the patient based on the data indicative of the measured movement.

Device and methods for detection and classification of pathogens have an imaging module, an image processing module, and a display module. The imaging module has a plurality of light sources to expose a sample to excitation radiation at various wavelengths. A detector in the imaging module synchronously captures time-resolved fluorescence emission spectra, time-resolved reflectance, and transmittance spectra at multiple spectral bands from the sample. The image processing module resolves the spectra and compares obtained spectral parameters to set of standard parameters provided in a library database to determine a match to detect and classify pathogens.

A wound dressing can include a substantially flexible substrate with a first, wound-facing side supporting a plurality of electronic components and a second side opposite the first side. The plurality of electronic components can include a light source, a resistor-capacitor (RC) network, and at least one switch electrically connected to the light source and to the RC network. The at least one switch can be configured to, in a first state, permit power to be supplied to the light source and, in a second state, prevent power being supplied to the light source.