The present disclosure is directed to a bedding panel system comprising a bottom or fitted sheet with embedded channels throughout such that at least one or more modular top panels and cushions can be attached to create physical sleep chamber spaces and thus independent “sleep zones” for multiple occupants on a single mattress. A bedding panel system can have dimensions to fit any size mattress. Fitted sheet, modular panels and cushions can include several layered components, each with comfort or utility features for each sleep chamber space. Top and bottom layers of fitted sheet and modular panels may be comprised of various fabrics and materials desirable for sleep comfort. Middle layers of fitted sheet and modular panels can include items such as foam or gel padding, moisture resistant barriers, biometric sensors for measuring physical health and sleep quality, and hardware for heating and cooling. Customized foot panels with specialized materials and electronic components can also be attached to fitted sheet for elevated comfort in the foot box. Bedding panel system components can be embedded with channels, arranged in crisscross and diagonal patterns, containing reinforced holes spaced symmetrically throughout to accommodate different configurations for modular panel and cushion installations. Anchor systems can include a variety of material and hardware combinations to enable ease of component connections, sleep comfort, and convenience of occupant access to sleep zones. Similar to modular panel configurations, anchors allow cushions, pillows, pillow cases and similar headrests designed for the head box section to remain connected to fitted sheet to ensure sleep materials remain intact and in place for the duration of the occupants sleep session.

A patient support apparatus, such as a bed, cot, stretcher, etc., for supporting a patient includes an exit detection system with multiple user-selectable modes of operation that each have different sensitivity levels for triggering an exit alert. The exit detection system also includes one or more non-user selectable modes of operation that are automatically implemented in response to a triggering action. For example, a transition mode may be automatically implemented when the user attempts to switch from a first user-selectable mode to a different user selectable mode, or a motion mode may be automatically implemented when movement of one or more components of the patient support apparatus occurs. In the transition mode, the exit detection system may use a least restrictive sensitivity level. In the motion mode, the exit detection system may inhibit exit alerts and/or change the criteria for issuing the exit alert.

One general aspect includes a bed having a mattress. The system also includes a sensor configured to: sense pressure of a sleeper on the mattress and transmit, to a controller, pressure data generated from the sensing of pressure of the sleeper on the mattress. The system also includes a controller may include a processor and a memory, the controller configured to receive the pressure data; identify, from the pressure data, one or more motion parameters; determine one or more cardiac measures of the sleeper from the motion parameters; determine, from the cardiac parameters, one or more neurologic measures of the sleeper; and determine, a disease state for the sleeper.

A person support apparatus, such as a bed, cot, stretcher, or the like, includes an exit detection system that utilizes an occupant motion parameter to determine whether to issue an alert or not. The motion parameter may be based on the weight and motion of the occupant. Successive positions of the occupant are determined in order to calculate a velocity of the occupant. In some embodiments, the kinetic energy of the occupant is used to determine if an alert should be issued. Objects positioned on the person support apparatus may also be detected and tracked. Auto-zeroing of a built-in scale, as well as automatic recognition of the removal, movement, and/or addition of objects is also provided.

A heart monitoring system (100) comprises an array of force-sensitive resistors (10) spanning a sensor surface (50). Each resistor (10) is configured to change a respective resistance value (R) in accordance with an amount of static pressure (P) exerted on the sensor surface (50) at a respective location of the force-sensitive resistor (10) by a subject (200). An array of piezoelectric transducers (20) is interspersed among the array of force-sensitive resistors (10). Each transducer (20) is configured to generate 10 a respective time-dependent electrical signal (S) in accordance with respective vibrations (F) exerted on the sensor surface (50) at a respective location of the transducer (20) by the subject (200). A controller (30) is configured to determine a heart rate (H1) of the subject (200) based on a combination of the measured resistance values (R) of the force-sensitive 15 resistors (10) and the time-dependent electrical signals (S) of the piezoelectric transducers (20).

A system for automatically assessing orthostatic hypotension for a patient supported on a patient support apparatus. The system receives position data identifying a first position of a patient supported on a patient support apparatus, and after a delay, receives vital signs data of the patient. The system receives position data identifying a second position of the patient supported on the patient support apparatus, and after a delay, receives vital signs data of the patient. The system determines an orthostatic hypotension assessment based on a difference in the vital signs data between the first and second positions. Based on the orthostatic hypotension assessment, the system modifies one or more conditions on the patient support apparatus to mitigate a risk for patient fall.

The present invention presents a device for calculating, during one step or each successive step of the gait of a subject, the push-off P.sub.0 of the subject, which is the power per kilogram released by the ankle push-off moment, which comprises: at least one inertial measurement unit (1A, 1B) on one foot of the subject, the inertial measurement unit (1A, 1B) having: at least one accelerometer to measure the vertical and antero-posterior accelerations and/or at least one gyroscope to measure the medic-lateral angular speed data {acute over (α)} during the gait, storage and calculation means (2A) connected to the Inertial measurement unit (1A, 1B), configured to calculate: for the foot, and for the step or each successive step of the gait:—the time of the heel-off and the time of the toe-off,—the push-off P.sub.0, by the Euler's equation stating that the sum of moments acting on the foot taken as a rigid body, being equal to the rate of change of the angular momentum of the foot, with the calculation of the push-off P.sub.0 at the time of the toe-off where the sagittal angular momentum is at its maximum in absolute value, displaying means (2B) connected to the storage and calculation means (2A).

A bed has a mattress. A sensor system is configured to sense at least one physical phenomenon through a sleep session. A controller may include at least one processor and memory, the controller configured to receive, through the sleep session, the sensor data; select, from a plurality of optional algorithms, a selected algorithm based on at least one of the sensor data, user input, and checking a clock, where the optional algorithms include (i) a state-based algorithm and (ii) a schedule-based algorithm; update, through the sleep session, using the selected algorithm, a current sleep state of the sleeper; track the sleep session based on the update of the current sleep state of the sleeper through the sleep session; update, through the sleep session, using the tracking of the sleep session, a target environmental-parameter; and send, through the sleep session, automation instructions to an environmental controller.

The present disclosure provides an apparatus and a processing unit. The apparatus includes a first layer configured to collect pressure data and a second layer comprising a plurality of electrodes configured to sense electrical activity. The processing unit is communicatively coupled to the apparatus and completes a series of steps. The steps provide for receiving pressure data from the first layer. Based on the received pressure data, the processing unit then determines an orientation of a user. The user can be positioned on the apparatus. The processing unit then selects a subset of electrodes from the plurality of electrodes, based on the determined orientation. The processing unit then measures electrical activity at the subset of electrodes.

A patient support apparatus comprises a support structure comprising a base and a patient support surface to support a patient. An actuator system facilitates movement of the patient support surface relative to a floor surface. One or more sensors are responsive to changes in position of the patient support surface caused by the actuator system. A controller is operably coupled to the one or more sensors and the actuator system. The controller is configured to operate the actuator system to move the patient support surface and to monitor the movement of the patient support surface by sensing positions of the patient support surface over time. The controller is further configured to identify a frictional load event on the actuator system during movement in a present cycle and associate the frictional load event with a sensed position of the patient support surface in the present cycle.