Abstract: A patient support apparatus includes a sensor capable of detecting vital signs, setting acceptable limits for the vital signs, and includes structures for monitoring the vital signs and providing local and/or remote indications to caregivers if the vital signs fall outside of acceptable limits.

Abstract: An exit prediction system receives movement data, divides the movement data into segments of time, extracts features from each segment of time, and determines a pattern of movement from the extracted features. A patient exit from a patient support apparatus is predicted based on the determined pattern of movement.

Abstract: Overhead lift units are disclosed. In one embodiment, an overhead lift unit includes a carriage having wheels engageable with a rail, a lift frame coupled to the carriage such that the lift frame is suspended from the carriage, and a pair of load beams. The lift frame includes a lift strap extending from the lift frame and a pair of connection points extending from the lift frame. Each load beam of the pair of load beams is attached to one connection point of the pair of connection points of the lift frame at an inferior end of the load beam. Each load beam of the pair of load beams is attached to the carriage at a superior end of the load beam. And each load beam of the pair of load beams comprises a strain gauge operable to register a weight supported on the lift strap.

Abstract: Overhead lift units are disclosed. In one embodiment, an overhead lift unit includes a carriage having wheels engageable with a rail, a lift frame coupled to the carriage such that the lift frame is suspended from the carriage, and a pair of load beams. The lift frame includes a lift strap extending from the lift frame and a pair of connection points extending from the lift frame. Each load beam of the pair of load beams is attached to one connection point of the pair of connection points of the lift frame at an inferior end of the load beam. Each load beam of the pair of load beams is attached to the carriage at a superior end of the load beam. And each load beam of the pair of load beams comprises a strain gauge operable to register a weight supported on the lift strap.

Abstract: A patient support apparatus includes a sensor capable of detecting vital signs, setting acceptable limits for the vital signs, and includes structures for monitoring the vital signs and providing local and/or remote indications to caregivers if the vital signs fall outside of acceptable limits.

Abstract: A patient support apparatus includes a base frame, lift mechanism supporting an upper frame relative to the base frame, a load frame, and a plurality of deck sections, a patient support surface, and a number of barriers positioned about the patient supporting surface. The patient support apparatus includes a notification system for visually notifying a caregiver of a condition or status of a component of the patient support apparatus.

Abstract: A patient support apparatus includes a sensor capable of detecting vital signs, setting acceptable limits for the vital signs, and includes structures for monitoring the vital signs and providing local and/or remote indications to caregivers if the vital signs fall outside of acceptable limits.

Abstract: A patient support apparatus includes a base frame, lift mechanism supporting an upper frame relative to the base frame, a load frame, and a plurality of deck sections, a patient support surface, and a number of barriers positioned about the patient supporting surface. The patient support apparatus includes a notification system for visually notifying a caregiver of a condition or status of a component of the patient support apparatus.

Abstract: A system for inferring a patient's future behavior may include a patient support apparatus. A data acquisition system may track data related to patient bed exits from the patient support apparatus. A controller may be in communication with the patient support apparatus. The controller may include a processor and a non-transitory memory device. The memory device may include instructions that, when executed by the processor, acquire data related to patient bed exits.

Abstract: 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.

Abstract: The present disclosure relates to patient support systems, such as hospital beds, and particularly to reconfigurable patient support systems movable among a number of different positions. The present disclosure further relates to control algorithms and interfaces for use in patient support systems.

Abstract: An exit prediction system receives movement data, divides the movement data into segments of time, extracts features from each segment of time, and determines a pattern of movement from the extracted features. A patient exit from a patient support apparatus is predicted based on the determined pattern of movement.

Abstract: A sleep apparatus, such as a mattress, comprises a head support surface sized to support a person's head, and a torso support surface sized to support a person's torso. The head support surface is generally laterally sloped moving from a first side toward a second side of the mattress, and the torso support surface is generally laterally sloped moving from the first side toward the second side. In some embodiments, the lateral slope of the head support surface is at least about 15°, the lateral slope of the head support surface is greater than the lateral slope of the torso support surface, and/or, the sleep apparatus slopes in the longitudinal direction as well.

Abstract: The present disclosure relates to patient support systems, such as hospital beds, and particularly to reconfigurable patient support systems movable among a number of different positions. The present disclosure further relates to control algorithms and interfaces for use in patient support systems.

Abstract: A patient support apparatus includes a base frame, lift mechanism supporting an upper frame relative to the base frame, a load frame, and a plurality of deck sections, a patient support surface, and a number of barriers positioned about the patient supporting surface. The patient support apparatus includes a notification system for visually notifying a caregiver of a condition or status of a component of the patient support apparatus.

Abstract: A method for detecting occupant position change on a support surface includes establishing a rate of change of pressure in a head end test zone and in a foot end test zone, comparing the head end rate to at least one head end rate limit, comparing the foot end rate to at least one foot end rate limit, and inferring, in response to the comparing steps, whether or not occupant migration has occurred. An associated occupant support includes a frame and a mattress. The mattress includes head and foot zones each having at least one pressurizable bladder. The support also includes a controller adapted to compare a head end rate of pressure change to a head end rate limit, to compare a foot end rate of pressure change to a foot end rate limit, and to infer, in response to the comparing steps, whether or not occupant migration has occurred.

Abstract: A patient support apparatus includes detectors and a controller operable to automatically update a tare weight for use in determining a true patient weight. The detectors are configured to produce signals indicating a presence or absence of a corresponding removable component. The controller is configured to determine weights of each and every removable component on the patient support apparatus and store each weight in a memory. The controller is further configured to receive the signals produced by the detectors and detect any addition or removal of removable components of the patient support apparatus, update the tare weight, and determine a weight of a patient being supported on the patient support apparatus.

Abstract: A patient support system includes a patient support apparatus and a support surface mounted on the patient support apparatus. The patient support apparatus is reconfigurable among a plurality of different configurations for supporting a patient on the support surface in a plurality of positions. The support surface is mounted on the patient support apparatus to move in response to reconfiguration of the patient support apparatus.

Abstract: A patient-support apparatus according the present disclosure has a head end and a foot end. The patient-support apparatus includes a source of pressurized air, a plurality of bladders, a manifold, a plurality of pressure sensors, and a controller. The controller includes a processor, a timer, and a memory device. The processor configured to execute instructions from the memory so that the processor retrieves a baseline patient-specific profile from the memory, calculates a first patient outcome corresponding to an amount of migration of a patient toward the foot end of the bed over time, updates the baseline patient-specific profile to include the first patient outcome, calculates a set of operating parameters based on the updated patient-specific profile, the set of operating parameters including a set of target pressures for the plurality of bladders, and adjusts the pressures in the bladders to the target pressures.

Abstract: A patient support includes a frame and a mattress supported by the frame. The frame includes a deck support and a deck supporting the mattress.