This application provides an intelligent control apparatus, including: a control circuit and a detection and heating circuit. The detection and heating circuit includes a detection and heating material. When the detection heating material works in a detection mode, the detection and heating circuit obtains a bioelectric signal of a user by using the detection and heating material. The control circuit instructs, according to the bioelectric signal, the detection heating circuit to switch a working mode of the detection and heating material to a heating mode; and instructs the detection and heating circuit to determine heating duration and/or a heating temperature of the detecting and heating material. The apparatus may be used in the field of artificial intelligence. Through control of the control circuit, the detection heating material can have both detection and heating functions. Intelligent perception of a state of the user is implemented by detecting of the bioelectric signal.

A patient support apparatus system and patient support apparatus, such as a bed, cot, stretcher, operating table, recliner, or the like, include a litter frame, a support deck, a sensor configured to detect caregiver activity, a transceiver communicating with a server, and a controller. The controller is configured to send alerts or messages to the server when caregiver assignment errors or caregiver inattention issues are identified. An alert is sent when a caregiver has not attended to a patient within a certain period of time, or when a caregiver has not been assigned to a particular patient or a particular location within a healthcare facility to which a patient has been assigned. The patient support apparatus and system are in communication with other healthcare facility systems and devices that gather and share information and data to alert caregivers in an effort to avoid patient neglect.

The present disclosure relates to a method for determining a mouth leak status associated with a user of a respiratory device is disclosed. Airflow data associated with the user of the respiratory device is received. The respiratory device is configured to supply pressurized air to an airway of the user during a therapy session. The airflow data includes pressure data. The airflow data associated with the user is analyzed. Based at least in part on the analysis, the mouth leak status associated with the user is determined. The mouth leak status is indicative of whether or not air is leaking from a mouth of the user.

The present invention relates to a system (10) for functional magnetic resonance image data acquisition. The system comprises an input unit (20), a magnetic resonance imaging “MRI” device (30), an electroencephalography “EEG” data acquisition device (40), and a processing unit (50). The input unit is configured to provide task based information to a patient, wherein the task based information extends over a period of time. The MRI device is configured to acquire functional magnetic resonance imaging “fMRI” data relating to brain activity of the patient, wherein the fMRI data extends over the period of time. The EEG device is configured to acquire EEG data relating to electrical activity of the brain of the patient, wherein the EEG data extends over the period of time. The processing unit is configured to utilize the task based information that extends over the period of time and the EEG data that extends over the period of time to determine at least one first sub-set period of time over the period of time. The processing unit is configured to determine an action associated with acquisition of the fMRI data over the at least one first sub-set period of time.

Heart rate data from a wearable physiological monitor can be used to determine a respiratory rate for a wearer. Using this respiratory rate data, a respiratory rate baseline for a wearer can be determined and used to detect variations from the baseline that indicate onset of conditions such as Covid-19 or other respiratory infections and the like.

An alertness estimation apparatus 10, includes: an image extraction unit 11 that extracts an image of a portion including eyes from an image data of a face image of a human; a first alertness estimation unit 12 that estimates a first alertness based on the extracted image; a pulse wave detection unit 13 that determines whether or not the estimated first alertness satisfies a set condition, and detect a pulse wave of the human from the face image, when the first alertness satisfies the set condition; and a second alertness estimation unit 14 that estimates a second alertness of the human based on the detected pulse wave.

Systems, methods, and non-transitory media are provided for a vehicle and mobile device interface for vehicle occupant assistance. An example method can include determining, based on one or more images of an interior portion of a vehicle, a pose of a mobile device relative to a coordinate system of the vehicle; determine a state of an occupant of the vehicle;

and send, to the vehicle, data indicating the state of the occupant and the pose of the mobile device relative to the coordinate system of the vehicle.

A system for monitoring the reaction of a user and for adjusting output content based on the user's reaction includes an output unit, a monitoring unit, a synchronization unit, an analysis unit and a control unit. The output unit presents content to the user. The monitoring unit monitors a user parameter during a period during which a first content is presented to the user in order to obtain monitoring data from the user. The monitoring data is synchronized during the period with the first content so as to link in time the monitoring data and the first content. The analysis unit analyzes the monitoring data and links it to the first content in order to determine the user's reaction to the first content. The control unit controls the output unit to present a second content to the user that is selected based on the user's reaction to the first content.

The invention relates to a piece of sleeping or reclining furniture, comprising a support element (2) for applying a padding or a mattress and at least one sensor (12) for detecting vibrations, movement, and/or sound. The piece of sleeping or reclining furniture is characterized in that the at least one sensor (12) is arranged at a section (120) of the support element (2) that is decoupled from further sections of the support element (2) and/or of the sleeping or reclining furniture.

A system may include a neuromodulator and a processing system. The neuromodulator may be configured to be programmed with a set of more than one program to deliver neuromodulation. The processing system may be configured to: receive sensed data indicative of activity, motion and/or posture of a patient; analyze the activity, motion and/or posture of the patient; and perform a process, based on the analyzed activity, motion and/or posture, for switching from one program in the set of more than one program to another program from the set of more than one program. The process may include automatically implementing the other program from the set of more than one program or suggesting to switch to the other program from the set of more than one program.