A patient support apparatus comprise a first frame, a plurality of load cells positioned on the first frame, a second frame, and a control system. The control system includes a controller, the controller is operable to receive a separate signal from each of the plurality of load cells, process the signals to identify, based on transient changes in the forces measured by each of the plurality of load cells, motion of the patient, classify the motion of the patient, and, based on the classification, update a patient profile in a patient record to reflect the characterization of the patient motion.

A patient support apparatus includes a frame, a support surface, and a sensor. The frame cooperates with the support surface to support a patient. The sensor is coupled to one of the frame and the support surface and is configured to provide an input signal indicative of a characteristic associated with the patient.

There is provided a patient support that may be adjustable in height, width, length or a combination thereof. The patient support may be useable with normal sized patients or with bariatric patients. The patient support has a variety of features to enhance operability and/or functionality, including a width adjustable caster frame, width adjustable deck portions, a width adjustable headboard and an extendible foot board to provide extra length. An enhanced lift mechanism can accommodate bariatric patients and alternative functionality in achieving deck positions improves patient comfort. Various parts of the patient support including deck panels and the footboard may be removed and replaced with ease without complicated connectors.

The invention relates to a bench with a scales function, which comprises sensors disposed in parallel along lower lateral bars of the bench and connected to a digital transmitter that transmits to a screen by means of a cable or Bluetooth. In addition to the current functions of the platforms to which the beds are anchored in the vehicles, the bench with an electronic scales function provides the exact value of the weight of the patient, in real time, facilitating the calculation of the precise doses of drugs, fluids, etc.

Embodiments may relate to an air-permeable weight support system, which may include a microclimate fabric layer and an air-permeable capacitive sensor layer below the microclimate fabric layer. The air-permeable capacitive sensor layer may include two air-permeable substrates, each carrying a plurality of electrically conductive pathways that are impermeable to air. The two air-permeable substrates may securely position the electrically conductive pathways to define a sensor grid and position the electrically conductive pathways that are impermeable to air to be spaced apart to define a plurality of air pathways for the air-permeable capacitive sensor layer. The sensor data may be used to determine a sleep state of the person using the weight support system. A computer may identify the poses of the person based on the pressure sensor data. A machine learning model may rely on the poses, the heart rates, the respiration rates to determine the sleep state.

A patient support apparatus for supporting a patient includes first, second, and third transceivers mounted at first, second, and third locations, respectively. A controller is adapted to use radio frequency communication between the first, second, and third transceivers and an infusion pump to determine a position of the infusion pump relative to the patient support apparatus. The controller, and/or a server in communication with the controller, is configured to double-check a dosage of medication being delivered via the infusion pump to the patient in order to help avoid incorrect dosing. The controller and/or server are adapted to automatically retrieve dosage information from the infusion pump, either directly or indirectly, and use the dosage information in combination with the patient's weight, as determined by a scale system on the patient support apparatus, to issue an alert if too high of a dosage is being administered to the patient.

A monitoring system and method for early detection of fall risk. A rise-state of a subject occupying a bed is detected. In response to the detection of the rise-state, blood pressure measurement of the subject is triggered. An alarm when the measured blood pressure is not within a selected range of blood pressures.

A hospital bed is configured to monitor data from a second patient support based on the one or more alarms set by the user. The hospital bed detects whether an alarm triggering event occurred based on the monitored data. In response to a determination that the alarm triggering event occurred, the hospital bed will provide a signal indicative of the alarm triggering event to a nurse call system.

According to an embodiment, a structure is detachably attached to a bed apparatus. The bed apparatus includes a holder and a first frame that includes a portion extending in a first direction. The structure includes: a first portion of a columnar shape extending in a second direction that intersects the first direction; and a second portion continuous to the first portion and including a portion extending in a third direction that intersects the second direction. The first portion is inserted in the holder so that the holder holds the structure. When the structure is attached to the bed apparatus, an angle between the first direction and the third direction is variable. The structure that can facilitate aid of bed departure can be provided.

A patient support apparatus may include a frame and an articulated deck coupled to the frame. The articulated deck may include a head section, a seat section, a thigh section, and a foot section. The seat section may include a stationary frame coupled to the frame and a moveable frame that moves relative to the stationary frame. The moveable frame may move between a retracted position and an extended position.