A smart bed body structure includes: a bed body, a control unit, a speech recognition unit and an audio device. The control unit is electrically connected with the speech recognition unit; the speech recognition unit is electrically connected with the audio device. The bed body includes: a load-bearing mechanism, at least one turnover mechanism and a base. The control unit and the audio device are arranged on the bottom face of the load-bearing mechanism. The load-bearing mechanism is arranged on the top face of the base, the turnover mechanisms being arranged between the load-bearing mechanism and the base, the load-bearing mechanism can be upwards turned over relative to the base by means of the turnover mechanisms. The control unit is electrically connected with the turnover mechanisms.

A patient support system for providing customized user menus. The system comprises a patient support apparatus, a user interface configured to receive input from a user, and a display configured to display user menus or information. The user menus may comprise indicia representative of the operational functions of the patient support apparatus. A controller determines the customized user menu based on usage characteristics, a position of the user interface in proximity to the patient support apparatus, a location of the user interface within a facility, an identification of the user, and/or a patient condition. A touchscreen and/or a mobile device may comprise the user interface and the display. The mobile device may be removably coupled to the patient support apparatus. Methods for improving patient care by providing the customized user menu are also disclosed.

A stair chair for use in transporting a patient in a seated position along stairs comprising a base, an upright coupled to the base, and a track assembly extending from the base for traversing stairs. A seat section is operatively attached to the upright and arranged for movement relative to the base between a plurality of vertical configurations including a first vertical configuration where the seat section is spaced from the base at a first distance for supporting the patient in the seated position, and a second vertical configuration where the seat section is spaced from the base at a second distance greater than the first distance. A lift mechanism is interposed between the base and the seat section to move the seat section between the plurality of vertical configurations. The lift mechanism moves the seat section to facilitate transitioning the patient to a standing position from the seated position.

A method and an apparatus for classifying an electroencephalogram signal, a device and a computer-readable storage medium. The method includes: obtaining an electroencephalogram signal; performing feature extraction on the electroencephalogram signal to obtain a signal feature corresponding to the electroencephalogram signal; obtaining a difference distribution ratio, the difference distribution ratio being used for representing impacts of difference distributions of different types on distributions of the signal feature and a source domain feature in a feature domain, the source domain feature being a feature corresponding to a source domain electroencephalogram signal; aligning the signal feature with the source domain feature according to the difference distribution ratio to obtain an aligned signal feature; and classifying the aligned signal feature to obtain a motor imagery type corresponding to the electroencephalogram signal.

Methods involving interpreting signals from a brain-machine interface (BMI) are described, as well as methods involving adjusting an implanted or wearable BMI device. The method includes receiving neural signals from a brain of a subject into a BMI decoder. The method includes determining an activity change of the subject based on a sensor. The method includes routing the neural signals from a first model to a second model in the BMI decoder based on the determined activity change. The method includes translating, using the second model in the BMI decoder, the neural signals into a command. The method includes sending the command to a controller.

A system for controlling at least one device includes a pair of glasses having a glasses frame. A plurality of magnetic sensors, a processor coupled to the plurality of magnetic sensors, and a wireless communication transmitter coupled to the processor are arranged on or in the glasses frame. A plurality of magnetic skins tags are arranged on a human face. The plurality of magnetic sensors sense movement of at least one of the plurality of magnetic skin tags and transmit a signal corresponding to the sensed movement to the processor. The processor, responsive to receipt of the signal corresponding to the sensed movement, transmits a signal for controlling the at least one device via the wireless communication transmitter to a processor of a power-driven mobility device.

A patient support system for providing improved guidance tools with respect to a patient support apparatus. A user interface is configured to receive inputs from a user, and an information output device is configured to provide instructions to the user. The user interface and the information output device may be on a touchscreen display. The user inputs may include a search query. A controller may be adapted to determine search results corresponding to operational functions of the patient support apparatus responsive to the search query and to provide said search results to the user with the information output device. The user input may include shorthand commands corresponding to operational functions of the patient support apparatus. The user interface may include a voice actuation device configured to receive voice actuation commands from a user.

A powered wheelchair is operated by sensor-based control pads that include force transducers to produce a variable output signal that is proportional to a varying force applied. The control pad provides an analog-type output that provides a variable speed signal to a controller to operate the wheelchair at a variable speed in both forward/reverse directions and in right or left turning directions.

The present teachings provide for wheelchair including a control module, manual drive controls, a camera, biometric sensors, and an antenna. The control module includes an autonomous drive module configured to autonomously pilot the wheelchair. The biometric sensors are configured to measure biometric information of a user of the wheelchair.

A self or assist-operated lift apparatus is disclosed. In various embodiments, the lift apparatus includes a vertical rail; a linear bearing positioned to be moved along the vertical rail; a drive mechanism coupled to the linear bearing and configured to move the linear bearing at a controlled rate along the vertical bearing between a first position at a lower end of a range of motion and a second position at an upper end of the range of motion; and a seat attached to the linear bearing, the seat being constructed at least in part of a substantially rigid material and having a size and shape suitable to accommodate a seated human occupant.