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.

A method for monitoring an environment for a patient on a patient support device can include: receiving a temperature reading from a wireless sensor coupled to a body of the patient; comparing the temperature reading to air flowing through an airflow system associated with the patient support device; and modifying the air flowing through the airflow system.

A patient support apparatus, such as a bed, stretcher, cot, or the like, includes a frame, a support surface, a control, a controller, and a transceiver. The patient support apparatus employs one or more machine learning techniques to perform one or more of the following: automatically implement one or more user-preferred settings, automatically predict the occurrence of one or more events based on analyses of prior events, and/or automatically improve one or more algorithms based on analyses of additional sensor data. The machine learning techniques may be implemented onboard the patient support apparatus and/or may be implemented at a remote computer device (e.g. a server) that collates and analyzes data from multiple patient support apparatuses, and then sends the results of the analyses back to the patient support apparatuses.

Apparatus and methods related to an underbody support for supporting a body of a being, such as during surgery to prevent contact pressure injuries. In certain embodiments, the underbody support may include one or more inflatable chambers enclosing a volume. At least one of the inflatable chambers may include one or more compression sensitive switches for monitoring the volume of the inflatable chamber, and the one or more compression sensitive switches may be located within the inflatable chamber. In some embodiments the one or more compression sensitive switches are sized to close when the said inflatable chamber is deflated to a desired residual volume.

A prone position pillow system has a head support portion, an elongated torso component with a cavity, and an insert pillow that can be inserted into the cavity to form an empty space below. The torso component includes a sagittal oriented face hole and an air tunnel having side openings sized and dimensioned to allow a patient to insert hands into the space below the face hole. A travel pillow rests on the head support portion to support a user's face. An adjustable leg elevation component and a cylindrical component support the user's legs in a comfortable position. The head support portion has one or more grooves that can hold a breathing tube. The torso component can have a second cavity designed to create space for the user's genital area.

According to an embodiment, a bed system includes a plurality of bed devices and a first input/output device capable of communicating with the plurality of bed devices. The first input/output device implements a first operation. During the first operation, the first input/output device receives input of a first set value relating to a first item set in each of the plurality of bed devices. At least one of the first input/output device and the plurality of bed devices implements an operation corresponding to the first set value. Thus, a bed system having improved usability is provided.

A pressure injuries therapeutic support surface is illustrated. The surface comprises an integrated system designed for a concurrent physical and psychoneuroimmunological approach over a user, wherein the system comprises one or a plurality of independent fluid-filled main chambers, made of waterproof, flexible, extendable, and elastic material and at least two accessory chambers connected to each main chamber with at least with two free-flow conduits. The system is managed through a powered mechatronic array with its own hardware and software based on microcontrollers for the simultaneous operation of specific multidisciplinary devices.

There is described support structures for a bed, and various embodiments of a bed for use in a hospital. In an example, a support structure comprises a plurality of sections, each configured to support a respective part of a body, and a plurality of resilient members that extend in a longitudinal direction from an upper end of the support structure to a lower end of the support structure, wherein a shape and/or profile of the support structure is determined by a shape and/or profile of the resilient members.

Bedding for a crib mattress includes a plurality of temperature sensitive sensors disposed therein and an on-board power source. The sensors are configured to be in wireless communication with a monitoring device. A visual indicator is disposed upon the bedding and in electrical communication with the power source. The visual indicator is activated when a pre-set temperature is sensed by any one of the sensors.

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.