The present disclosure provides apparatuses and computer readable media for measuring sub-epidermal moisture in patients to determine damaged tissue for clinical intervention. The present disclosure also provides methods for determining damaged tissue.

A cellphone-based oxygenation tool can include a circuitry housing unit, a light emitting diode (LED) box disposed on the circuitry housing unit, a plurality of LEDs disposed in the LED box, a diffuser sheet or lens disposed on the LED box, a lens holder disposed on the circuitry housing unit and configured to be movable with respect to the circuitry housing unit, a near-infrared (NIR) filter disposed on the lens holder, and a cellphone disposed on the circuitry housing unit and having an NIR sensitive camera. Each of the plurality of LEDs can have different wavelengths, and application software of the cellphone can be configured to acquire data from the NIR sensitive camera and process the data before storing the data.

The present disclosure provides methods for evaluating tissue damage and the use of spatial variation in Sub-Epidermal Moisture (SEM) values to determine damaged tissue for clinical intervention. The present disclosure provides methods of identifying deep and early-stage pressure-induced injuries or ulcers (PI/PU). The present disclosure provides algorithm for computing SEM delta values which inform clinical decision-making for developing intact skin PI/PUs including suspected deep tissue injury (sDTI) and Stage I PI/PUs.

A device for detecting a foot abnormality includes a platform configured to be stood upon by a user, an imaging device within the platform, and a processor connected to the imaging device. The processor is configured to detect a foot abnormality from images gathered by the imaging device.

The invention provides a system and method for measuring vital signs and motion from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a plurality of air pressure sensors, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. Each of the plurality of air pressure sensors measures the pressure in a respective inflatable zone of the mattress. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and each of the plurality of air pressure sensors and process the signals to identify movement data and communicate the movement data to a caregiver.

A patient support apparatus includes a computer supported thereon that acts as a thin client for at least one network service available on a remote network to which the patient support apparatus has access. The thin client architecture of the patient support apparatus enables the patient support apparatus to dynamically change its functions, algorithms, features and other aspects more easily. The thin client architecture may be applied to generating alerts, performing maintenance functions, analyzing sensor data—including, but not limited to—weight sensors used to detect weight distributions on the patient support apparatus, implementing patient care protocols, performing patient assessments, accumulating information for billing, and monitoring patient movement. The patient support apparatuses may also function as local WiFi hotspots and/or as software access points to the healthcare network and/or the Internet. One or more Software-as-a-Service applications may run on the patient support apparatus.

Systems include a plurality of sensors coupled to a person support apparatus, at least one moisture sensor configured to sense a moisture level between the person and the support surface, and at least one computing device coupled to the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor. The at least one computing device receives data from the plurality of sensors coupled to the person support apparatus and the at least one moisture sensor, obtains data from an electronic medical record associated with the person supported by the person support apparatus, calculates a pressure injury score indicative of a likelihood that the person will develop a pressure injury based on the data from the plurality of sensors, the at least one moisture sensor, and the electronic medical record, and alters a treatment plan for the person based on the calculated pressure injury score.

A caregiver assistance system is disclosed for helping caregivers manage the care of existing bed sores and/or reduce the risk of a patient developing bed sores. The system may also help the caregiver to perform rounding tasks and/or to reduce the likelihood of patient falls. The system comprises a server application in communication with the patient's bed and one or more mobile electronic devices (e.g. smart phones). The mobile devices receive individual assessments of a plurality of bed sore risk factors and forward them to the server. The server generates bed sore risk scores from the answers and forward them to an EMR server. The server may also determine one or more risk reduction steps, display them on the mobile electronic device, and/or forward them to the patients' beds for implementation thereon. Additional bed sore information may be captured and sent to the EMR.