A biological information monitoring system (100) configured to monitor biological information of a subject (S) on a bed (BD) includes at least one load detector (11, 12, 13, 14) provided below the bed or legs of the bed and configured to detect a load of the subject on the bed, a waveform calculation unit (31) configured to calculate a waveform indicating a temporal variation in a detected value of the at least one load detector in accordance with respiration or a heartbeat of the subject, and a biological information calculation unit (32) configured to calculate a respiration rate or a heart rate of the subject by using the waveform. The biological information calculation unit includes a first calculation unit (321) configured to calculate the respiration rate or the heart rate of the subject by a first means based on the waveform, a second calculation unit (322) configured to calculate the respiration rate or the heart rate of the subject by a second means that differs from the first means and includes normalizing the waveform, and a calculation control unit (320) configured to cause the second calculation unit to calculate the respiration rate or the heart rate when an amplitude of the waveform is a threshold value or less.

Systems and methods for a load sensing system that determines a mass on a bed. The systems generally are in the form of a castor base, particularly one that can be used as part of an adjustable hospital bed. The load sensing system serves to determine the mass of any object or objects (typically a human or animal patient) which is placed on the bed by having the mass create a force on lever arms of a plurality of load cells in the castor base. The load sensing systems are designed to work without hindering the adjustable functionality of the bed and can accurately determine mass (weight) at any position of the bed, and potentially even while the bed is adjusting between positions.

A patient support apparatus includes a load frame, a support frame, and a plurality of load cells supporting the load frame on the support frame such that a load supported by the load frame is supported by the load cells, each load cell configured to produce a signal indicative of a load weight bearing upon that load cell. The load cells are calibrated after installation.

A person support apparatus includes one or more thermal image sensors whose outputs are analyzed to perform one or more functions. Such functions include automatically turning on a brake, automatically turning on one or more lights, detecting when a patient associated with the person support apparatus has fallen, enabling a propulsion system of the patient support apparatus to be used, automatically controlling one or more environmental controls, and/or automatically arming an exit detection system after entry of a patient onto the person support apparatus. Multiple thermal images may be generated from multiple sensors to generate stereoscopic thermal images of portions of the person support apparatus and its surroundings.

A method for determining a normalized weight of a non-static item is disclosed. Weight data associated with the non-static item is received from a plurality of load cells. A load cell weight for the non-static item is determined based at least in part on the weight data. The load cell weight for the non-static item is received as an input for a machine learning algorithm. The normalized weight for the non-static item is generated as an output for the machine learning algorithm.

Described herein are multifunctional smart beds and methods of operating thereof. Specifically, a multifunctional smart bed comprises a controller, configured to receive input from various sensors (e.g., load cells positioned in bed legs, thermometers, and/or microphones) and/or user. These inputs are analyzed and used to control various bed components to improve the sleep quality, to monitor users' health, score couple's relationship, and the like. For example, these inputs may be used to control the firmness of different mattress portions, change orientations of the head, torso, and/or leg sections, adjust the light, and the like. In some examples, the smart bed generates a report indicating one or more sleep duration, sleep depth profile, sleep scope, heart rate, breath rate, environment conditions, couple's relationship, and the like. Furthermore, in some examples, a multifunctional smart bed is also configured to control external devices in the same environment, e.g., smart switches, smart thermostats.

An apparatus and method of calibrating the apparatus are disclosed. The apparatus may include a scale platform, a warming therapy device comprising a bassinet and at least one electrical device, the warming therapy device being disposed on the scale platform, the scale platform disposed between the warming therapy device and the base; and a conductor assembly adapted to (a) supply electrical power between a power supply and at least some of the at least one electrical device, and (b) enable the transmission of electrical signals from the at least one electrical device to the computer system, the conductor assembly comprising a scale platform cable assembly comprising a plurality of conductors, the scale platform cable assembly having a first connector end and a second connector end, the first connector end being rigidly affixed to the load cell carrier and the second connector end being rigidly affixed to the scale platform cover.

A neonatal care system includes a platform for supporting an infant, at least one load cell configured to sense a weight of the infant supported on the platform, and an inclinometer configured to measure an angle of the platform. A controller is configured to determine an infant weight based on the sensed weight and the measured angle of the platform.

The invention relates to a modular sensor system consisting of at least three modules with at least one sensor, at least one sensor carrier and at least one weight distribution strip, which can be connected to each other in a sandwich-like manner. The modular sensor system can be used in a slatted frame mattress.

A person lifting apparatus includes a first lifting strap feeding device including a first drum and a first lifting strap wound on the first drum. A second lifting strap feeding device includes a second drum and a second lifting strap wound on the second drum. A controller is communicatively coupled to the first lifting strap feeding device and to the second lifting strap feeding device. The controller includes logic that controls operation of the first lifting strap feeding device and the second lifting strap feeding device based on a comparison of current draws of the first lifting strap feeding device and the second lifting strap feeding device.