The present disclosure discloses a novel omniphobic, paper-based, smart bandage (OPSB) devices, and the methods to make and use the omniphobic, paper-based, smart bandage devices. The OPSB device of the present disclosure provides a simple, low-cost, and non-invasive strategy to monitor open wound status wirelessly. This disclosure also provides the demonstration of in-vivo early detection and monitoring of pressure ulcers using wireless smart bandages.

Methods and apparatus for detection of tissue damage in patients using a medical device for an extended period of time are disclosed.

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.

Methods and apparatus for detection of tissue damage in patients using a medical device for an extended period of time are disclosed.

A system for monitoring at least one characteristic of biological material of an individual includes a wearable product. The wearable product includes an outer surface and a skin contact surface defining an internal area. An analysis portal is disposed in the internal area, and includes a sensing portion and an investigation portion. The sensing portion has at least one sensor, and the investigation portion that includes a computing device having a health screener. The sensing portion of the analysis portal comes into contact with a biological material of the individual, and the health screener is configured to determine at least one characteristic of the biological material. The computing device is communicatively coupled to the sensors and the display.

A patient movement detector can receive inputs from position sensors, a thermal imaging camera, a video camera, and/or triangulation data. Based on one or more of these inputs, the patient movement detector can perform one or more of the following: fall prevention detection, bedsore prevention analysis, patient location detection, and patient walk test scoring. The patient movement detector can, for example, output a fall warning alarm, a bedsore warning alarm, patient location information, and walk test scores.

Systems and methods for monitoring pressure exerted on an individual at one or more points by a support structure and adjusting the support structure in response to the monitored pressure are disclosed. The method for monitoring pressure may include the step of periodically receiving with at least three radio frequency readers, localized contact pressure data from a radio frequency addressable sensor placed on an individual. The method may further include, when an adjustment is required, calculating a radial distance defining a radius of the radio frequency addressable sensor to the at least three radio frequency readers, and calculating an intersection location or overlap of the radii such that the location of the radio frequency addressable sensor is determined. The method may also include, when the location of the radio frequency addressable sensor is determined, adjusting cells within a zone or subzone corresponding to the location.

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. In some embodiments, the system can further include a support surface having one or more sensors incorporated therein either in addition to sensors affixed to the patient or as an alternative thereof. The support surface is, in some embodiments, capable of responding to commands from the host for assisting in implementing a course of action for patient treatment. 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 wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

Under the inventive process, the customised split insole is made by processing manually collected medical data and arch data along with plantar pressure distribution data and foot type data both of which are collected using a computer enabled Plantar Pressure Measuring Device in a first computer and processing these data in a second computer to generate a Projection Data which is expressed in Shore Hardness Value. Then, ranking of the projection data into a zone wise Ranking Index, determining the elasticity of the material to be used for the said Shore Hardness Value, converting the said shore hardness value into Surface Tessellation Language and transmitting the same to a third computer built into a 3D printing machine which selects a suitable material and its elasticity zone wise as per the Shore Hardness Value and 3D prints the same.