A method for determining an ROI in medical imaging may include receiving first position information related to a body contour of a subject with respect to a support from a flexible device configured with a plurality of position sensors. The flexible device may be configured to conform to the body contour of the subject, and the support may be configured to support the subject. The method may also include generating a 3D model of the subject based on the first position information. The method may further include determining an ROI of the subject based on the 3D model of the subject.

There is provides a biological condition determining apparatus for determining a biological condition of a subject on a bed. A biological condition determining apparatus includes a plurality of load detectors which are placed in the bed or under feet of the bed and which detect a load of the subject, a biological information extracting unit which extracts biological information from an output of at least one of the load detectors, a determining unit which determines the biological condition of the subject by comparing the extracted biological information with a referential information prepared beforehand, and an output unit which outputs the biological condition of the subject determined by the determining unit.

A posture determination apparatus including at least two vibration sensors and a controller. The controller causes the vibration sensors to detect vibrations while the user is lying in bed, calculates waveforms from the detected vibrations and recognizes the characteristics of the waveforms, and determines the posture of the user based on the characteristics. Thereby, it is possible to provide a posture determination apparatus capable of appropriately determining the posture of the user which is one factor of the state of the user.

A notification control device for controlling notification based on subject information is disclosed. The subject information including temperature image data, which indicates temperature of a subject captured within a predetermined capturing range, is received. A predetermined destination of notification information, which represents a state of the subject based on the subject information, is notified. A process of notifying the notification information to the predetermined destination is stopped depending on whether or not the subject information includes predetermined identification information.

A system that monitors various conditions of a plurality of hospital beds located in different rooms of a healthcare facility is provided. Alternatively or additionally, other types of equipment may be monitored by the system. Various configurations of network interface units that are coupleable to or integrated into a hospital bed are also disclosed. The system receives data from the hospital beds and/or other equipment and initiates a communication to a wireless communication device of at least one designated caregiver in response to the received data being indicative of an alarm condition.

Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The equipment includes a patient support apparatus such as a patient bed, a nurse call computer, a physiological monitor, a patient lift, a locating computer of a locating system, and an incontinence detection pad. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

Various systems and methods for collecting patient data are discussed herein. According to some systems and methods, a timer may be started, and a blood pressure data collection system is actuated to obtain a blood pressure measurement of a patient upon the expiration of the timer. The timer may be incorporated into a patient data collection system or method to ensure the patient is relaxed and calm prior to taking a blood pressure measurement. An event may be sensed by an environmental sensor system and the timer may be started in response to sensing the event. A clinician leaving a room where the patient is disposed is one example of an event. An interruption may be sensed by the environmental sensor system and the timer may be terminated in response to sensing the interruption. The clinician entering the room where the patient is disposed in one example of an interruption.

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.

An embodiment in accordance with the present invention includes a technology to continuously measure patient mobility automatically, using sensors that capture color and depth images along with algorithms that process the data and analyze the activities of the patients and providers to assess the highest level of mobility of the patient. An algorithm according to the present invention employs the following five steps: 1) analyze individual images to locate the regions containing every person in the scene (Person Localization), 2) for each person region, assign an identity to distinguish ‘patient’ vs. ‘not patient’ (Patient Identification), 3) determine the pose of the patient, with the help of contextual information (Patient Pose Classification and Context Detection), 4) measure the degree of motion of the patient (Motion Analysis), and 5) infer the highest mobility level of the patient using the combination of pose and motion characteristics (Mobility Classification).

A posture determination apparatus including at least two vibration sensors and a controller. The controller causes the vibration sensors to detect vibrations while the user is lying in bed, calculates waveforms from the detected vibrations and recognizes the characteristics of the waveforms, and determines the posture of the user based on the characteristics. Thereby, it is possible to provide a posture determination apparatus and capable of appropriately determining the posture of the user which is one factor of the state of the user.