A patient visualization system having a processor, communicatively coupled to a pressure sensor device to periodically receive pressure sensor data experienced by a subject at locations on the pressure sensor device. The processor programmed to receive input indicative of an intervention resulting in a pressure lowering of a body area of the subject during a first high-pressure situation at a first time; and responsive to determining a second high-pressure situation at the body area of the subject at a second time later than the first time, display an indication of the input of the intervention in connection with the first high-pressure situation.

The present disclosure provides a device, which includes: a first layer provided with a waterproof, breathable pressure re-distribution medium and adapted for adhesion around an area of interest on a patient prognosed for occurrence of pressure ulcer; at least one second layer disposed under the first layer and provided with pores, adapted for reducing impact of friction and shear on the area of interest; at least one third layer disposed under the at least one second layer, and made of a hard material and adapted for providing support to the device; and at least one fourth layer disposed under the at least one third layer, provided with grooved features, which allow for redistribution of pressure applied on the device. The device, when placed on the area of interest, allows for redistribution of pressure, reduced shear and reduced friction on the area of interest, and may be used for prevention of pressure ulcers.

A dressing assembly adapted to be applied on a surface of a patient's body that is susceptible to damage from soft tissue pressure. The dressing assembly includes a carrier having a skin-adhesive film, an outer cover layer overlying and adhered to the skin-adhesive film, an annular-shaped foam member between the skin-adhesive film and the outer cover layer, a cavity defined within the annular-shaped foam member, a lower foam member located within the cavity adjacent a portion of the skin-adhesive film, and a closure assembly overlying the outer cover layer. The closure assembly includes an adhesive element that releasably adheres the closure assembly to the outer cover layer to enable the closure assembly to selectively close and expose the cavity. The closure assembly has an upper form member disposed in the cavity when the closure assembly closes the cavity. A sensor unit is compressed between the lower and upper foam members.

One or more radar sensors can be used to monitor patients in a variety of different environments and embodiments. In one embodiment, radar sensors can be used to monitor a patient's movement, including movement in a patient bed and around a room. In another embodiment, a patient position can be monitored in a patient bed, which can be used as feedback for control of bladders of a patient bed. Additional embodiments are described herein.

The present arrangement provides a system for managing diabetic foot care patients that include a communication interface for transmitting diagnostic forms to a doctor device and receiving input from the doctor device. A processor manages the transmissions and received input and a database storing the diagnostic forms and the received input, as well as pre-stored risk assessment guidelines. The system is configured to transmit the diagnostic forms to a doctor device for guiding a comprehensive foot exam, and further, to accept doctor input including at least a plurality of foot examination details and a risk pool assessment. The system compares at least a plurality of foot examination details against the pre-stored risk assessment guidelines and confirms or reject the risk pool assessment input by the doctor if the risk pool assessment is or is not congruent with requirements contained in the pre-stored risk assessment guidelines.

A monitoring system and method tracks a patient's position over time and ensures that proper turning or other manipulation is done within the time prescribed. Preferably, the techniques herein continuously monitor patient position and alert medical or other personnel of the need for turning or other patient manipulation. The system may be implemented within a medical or other care facility, or within a patient's home.

A system that monitors various conditions of a plurality of hospital beds located in different rooms of a healthcare facility is provided. Alternatively or additionally, other types of equipment may be monitored by the system. Various configurations of network interface units that are coupleable to or integrated into a hospital bed are also disclosed. The system receives data from the hospital beds and/or other equipment and initiates a communication to a wireless communication device of at least one designated caregiver in response to the received data being indicative of an alarm condition.

Pressure monitoring methods and systems for warning a patient or caregiver that soft tissue pressure has exceeded some predetermined level that over time would necessitate moving the patient to prevent or at least reduce a risk of soft tissue damage. The methods and systems entail the use of a pressure sensing unit adapted to be applied to or near a surface of the patient's body, and a sensor associated with the sensing unit to generate electrical outputs corresponding to soft tissue pressure sensed at the surface. The electrical outputs are wirelessly monitored over a preselected time period to generate a cumulative output signal based on the electrical outputs and corresponding to whether or not the soft tissue pressure has exceeded a predetermined pressure level during the preselected time period. An alarm is generated if the cumulative output signal exceeds a predetermined cumulative threshold until the soft tissue pressure drops below the predetermined pressure level.

An electronic endoscope system includes an image processing unit that uses a numerical value to evaluate an appearance feature appearing in a biological tissue by using an images captured by an electronic endoscope. The image processing unit calculates a first pixel evaluation value indicating a degree of a first feature, which is featured by a first color component or a first shape appearing in an attention area in the biological tissue, and which relates to the first color component or the first shape, for each pixel from the image, and calculates a first representative evaluation value relating to the first feature by integrating the first pixel evaluation value. Furthermore, the image processing unit evaluates a degree of a second feature that shares the first color component or the first shape with the first feature.

A machine learning compute device may include circuitry configured to obtain sensor data from a product associated with a patient. The circuitry may also be configured to obtain response variable data indicative of an actual condition of the patient associated with the sensor data. Additionally, the circuitry may be configured to train, based on the response variable data and the sensor data, an inference model to infer the actual condition of the patient from the sensor data.