Disclosed herein is a urine output measuring system including a urine hat having a urine hat body including a rim, the urine hat defining a cavity configured to receive a volume of urine, a plurality of feet defining a platform configured to be coupled to a toilet to suspend the urine hat, and one or more sensors coupled to the platform, the one or more sensors being in communication with a console and configured to detect and transmit one or more load values to the console.

A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.

Systems, devices, and methods are disclosed herein for monitoring physiological data of subjects seated on a toilet, including systems, devices, and methods for monitoring loads and forces on a toilet seat. In some embodiments, systems, devices, and methods disclosed herein include a set of sensors that can measure loads and forces present at coupling points between a toilet seat and a base or other components of a toilet.

Millimeter (mmWave) mapping systems and methods are disclosed for generating one or more point clouds and determining one or more vital signs for defining a human psychological state. A point cloud comprising point cloud data defining a person or an object detected within a physical space is generated based on one or more mmWave waveforms of an mmWave sensor. A posture of the person within the portion of the physical space is determined from the point cloud data. One or more vital signs of the person is determined based on the mmWave waveform(s). An electronic feedback is provided representing a human psychological state of the person as defined by the point cloud data and the one or more vital signs of the person.

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 biological signal detection device is capable of accurately and simply measuring biological signals and promotes daily health care. A body abutting-side cushioning member 10 formed of a three-dimensional knitted fabric is substantially circular in plan view. A base cushioning member 20 is also substantially circular in plan view. A square one tends to undergo deformation such as turning-up or folding of its edges around the corners when, for example, a person sits thereon. Such deformation tends to distort detection data. Moreover, the folding and the like give a feeling of something foreign. In contrast, a substantially circular one less undergoes such folding and the like.

A processing system deployed in a carrier transport vehicle may establish a wireless communication session with a mobile device of a user, assign a zone of the carrier transport vehicle to the user, the zone including a plurality of network-connected devices, obtain a user profile from the mobile device of the user, determine at least one biometric sensor accessible via the mobile device of the user, obtain biometric data of the user from the at least one biometric sensor accessible via the mobile device of the user, determine a condition of the user based upon the biometric data, identify at least one adjustment to at least one of the plurality of network-connected devices in response to the condition of the user that is determined and the user profile, and apply the at least one adjustment to the at least one of the plurality of network-connected devices.

A system, apparatus, and method for physiological data collection, providing targeted content, and facilitating remote diagnostics. In one embodiment, a kiosk contains physiological data collection devices, electronic computing devices, and targeted-content display devices to automatically collect physiological data regarding a patient and display targeted content specifically tailored to that patient based on the collected data.

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.

A posture detection system for detecting a user's posture according to the embodiments includes a pressure sensor unit, a controller, a feedback mechanism, and a display unit. The pressure sensor unit has a sheet shape or a padded shape and includes plurality of sensors. Each of the sensors is configured to detect a pressure applied from the user. The controller is configured to classify the user's posture based on detection data detected by the pressure sensor unit. The feedback mechanism is configured to provide feedback to the user by vibrating based on a result of the classification. The display unit is configured to perform a display according to the result of the classification.