A bed-leaving prediction device (server device) (10) is connected through a digital communication network (60) to: a portable information processing terminal (40) of care staff; environmental sensors (32 to 34) for detecting environment values such as temperature in a room; a human sensor (31); and a bed sensor (35). A bed-leaving prediction processing section (115) calculates a bed-leaving prediction value indicative of a degree of possibility that a care recipient leaves a sleeping furniture after a second time interval has expired since a current time point based on a plurality of environment values detected in a time period between the current time point and a time point before expiration of a first time interval, outputs of the human sensor, and outputs of the bed sensor. A bed-leaving notification processing section (117) compares the bed-leaving prediction value with a threshold value, and transmits, to the portable information processing terminal, a bed-leaving notification indicating that the care recipient leaves the sleeping furniture after the second time interval expires when the bed-leaving prediction value exceeds the threshold value.

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 patient transport apparatus comprises support structure. The support structure comprises a base, a support frame, and a patient support deck. A headboard and a footboard are coupled to the support structure. The support frame comprises a head section and a body section, the body section coupled to the patient support deck. The patient support deck comprises a patient support surface capable of articulating relative to the support frame. The head section is movable relative to the body section to define first and second configurations of the support frame, the support frame having a first footprint in the first configuration and a second footprint, smaller than the first footprint, in the second configuration.

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.

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 monitoring unit which is configured to monitor a patient during an operation of a high-frequency surgery device, wherein the high-frequency surgery device is configured to separate and/or coagulate biological tissue by means of high-frequency electrical energy, wherein the monitoring unit has: measuring electrodes which are disposed in a periphery of the patient, and an evaluation and control unit which is configured to impress a predetermined measuring alternating voltage or a predetermined measuring alternating current on the measuring electrodes, and to monitor an impedance decreasing between the measuring electrodes and to monitor a time curve of the impedance and/or to monitor a temporal change thereof

A healthcare apparatus includes a ballistocardiogram (BCG) sensor configured to sense a ballistocardiogram signal of a subject, a camera configured to acquire a color facial image, and a processor configured to detect a region of interest (ROI) from the color facial image, to detect a first color image of a forehead area to acquire a first black and white image, to detect a second color image of a cheek area to acquire a second black and white image, to apply the first and second black and white images to a predetermined trained algorithm model to output a remote photoplethysmography (rPPG) signal waveform of the subject, to calculate a first heart rate from the BCG signal waveform, to calculate a second heart rate from the remote PPG signal waveform, and to output a heart rate of the subject based on the first heart rate and the second heart rate.

A pressure sensing mat having first and second conductive layers and an insulative layer. The first conductive layer defines a first aperture and includes first spaced apart conductive regions and first non-conductive regions therebetween. The first spaced apart conductive regions and non-conductive regions extends in a first direction. The second conductive layer defines a second aperture and includes second spaced apart conductive regions and second non-conductive regions therebetween. The second spaced apart conductive regions and the second non-conductive regions extend in a second direction different than the first direction. The insulative layer is between the first and second conductive layers and defines a third aperture. The first, second, and third apertures are aligned with each other such that the first, second, and third apertures form a vent through the first and second conductive layers and the insulative layer.

A device (1) for monitoring a response of a subject body (2, 21, 211) comprises an emitter (3) for emitting an input signal (5, 51, . . . ) and a receiver (4) for receiving an output signal (6, 61, . . . ). A first response (R1) of the subject body (2, 21, 211) is evaluated from the comparison between the signals. A further emitter (31, 311, . . . ) evaluates a second response (R2), wherein one of the responses is selected for a further monitoring of the response, and/or at least one further receiver (41, 411, . . . ) evaluates a third response (R3), wherein either the first response (R1) or the third response (R3) is selected for a further monitoring of the response, and/or wherein the input signal (5, 51, . . . ) is an electromagnetic field and the device (1) further comprises a signal modulator (9) which alters the input signal (5, 51, . . . ).

A device is described for delivering a therapeutic vibration to a body. The device may include at least two motors in a housing with unbalanced masses coupled to their axles, such that vibration of the masses causes the two motors and housing to vibrate at a beat frequency 80. The motors and housing may be coupled to the body via a platform which places the motors and housings at or near a resonant structure in the body, creating a coupled oscillation between the platform and the body. The vibration may be based on the input signal, such that the system applies the vibration based on the input signal to the user, wherein the signal may be an audio or video signal. The system may be configured to measure and manipulate the flow of cerebral spinal fluid.