A method for collecting prone position data of a human body is disclosed. The method includes: collecting weight data, back contour data and height data of a standing subject; receiving the weight data, the back contour data, and the height data, pre-preprocessing such data, and sending the pre-processed pre-processing data to a simulated bed by a processing center; receiving the pre-processed data and adjusting an initial pressure of a plurality of elastic columns of the simulated bed according to the pre-processed data by the simulated bed; causing the subject to lie on the adjusted simulated bed and further adjusting the simulated bed according to a subjective description of the subject until the simulated bed is suitable for the subject; collecting adjustment data of the simulated bed suitable for the subject by the processing center. A system for collecting prone position data of a human body is also disclosed.

A load cell apparatus for use with a bed includes a housing having a top portion and a bottom portion, and a load cell device held by the bottom portion of the housing. The load cell device is structured to generate a signal having a magnitude that is proportional to a first force being applied to the load cell device. The load cell apparatus also includes a button member held by the housing in a manner wherein the button member is structured to engage the load cell device and apply the first force to the load cell device in response to a second force being applied to the top portion of the housing. Also, various systems for monitoring parameters such as weight, sleep quality, fall risk, and/or pressure sore risk that may incorporate such a load cell apparatus.

A changing table placed on a ground or a table and capable of weighting a child is provided. The changing table includes a frame, a weighting module and a fabric component. The frame includes a lower frame and an upper frame movably installed on the lower frame. The weighting module includes four load sensors disposed on four corners of the frame and between the lower frame and the upper frame. The fabric component covers the upper frame to form a supporting area between the upper frame and the lower frame for supporting the child. The changing table can measure a first weight of the child before feeding the child and further measure a second weight of the child after feeding the child, so as to determine a difference of the second weight and the first weight of the child as the feeding intake.

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.

Devices and methods for generating synthetic cardio-respiratory signals from one or more ballistocardiogram (BCG) sensors. A method for determining item specific parameters includes obtaining ballistocardiogram (BCG) data from one or more sensors, where the one or more sensors capture BCG data for one or more subjects in relation to a substrate. For each subject, the captured BCG data is pre-processed to obtain cardio-respiratory BCG data. The cardio-respiratory BCG data is sub-sampled to generate the cardio-respiratory BCG data at a cardio-respiratory sampling rate conducive to cardio-respiratory signal generation. The sub-sampled cardio-respiratory BCG data is cardio-respiratory processed to generate a cardio-respiratory parameter set. A synthetic cardio-respiratory signal is generated from at least the cardio-respiratory parameter set and a cardio-respiratory event morphology template. A condition of the subject is determined based on the synthetic cardio-respiratory signal.

A patient support apparatus comprises a patient support deck and a base frame assembly. The base frame assembly comprises a first frame assembly supporting a plurality of wheels, and a second frame assembly supporting one or more lift arms that are coupled to the patient support deck to the second frame assembly. A load cell assembly is interposed between the first and second frame assemblies to sense force acting on the first frame assembly associated with weight applied to the second frame assembly. The load cell assembly comprises: a load cell element coupled to one of the first frame assembly and the second frame assembly; a first pivot mount operatively attached to the load cell element; a second pivot mount operatively attached to the other of the first frame assembly and the second frame assembly; and a swing link arranged for pivoting movement.

A system and a method of detecting a voiding event of a care-receiver uses a temperature sensor for measuring temperatures in real-time at a location adjacent a lower portion of the care-receiver's torso where the voiding event is to occur. The system and method then determines the voiding event based on the measured temperatures.

A bed comprises substrate support members, each including a load bearing and a base configured to provide contact with a floor. The load bearing member is configured to move vertically relative to the base, while the base and the load bearing member are configured to fit together to maintain lateral alignment of the base and the load bearing member. A load sensor is positioned between the base and the load bearing member, the load bearing member configured to transmit a load from the substrate to the load sensor. A printed circuit board is in communication with the load sensor. A controller is in communication with the printed circuit board of each substrate support member and is configured to receive and process data output by the printed circuit boards.

A strain gauge assembly includes a member and a strain gauge supported by the member spaced. The strain gauge further includes a bearing surface and a contact surface spaced from the bearing surface. When the member is subject to a predetermined bending force, the bearing surface contacts the contact surface wherein at least a portion of the bending force bypasses the strain gauge and instead is transferred from the bearing surface to the contact surface.

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.