An analytical toilet comprising a bowl for receiving excreta from a user; a base supporting the bowl; a supply of flush water; and a plurality of receptacles, each providing mechanical attachment, a power supply, and a data connection to an analytical device, which analytical device is adapted to provide data useful to the user is disclosed.

In some examples, a medical device includes an elongated body defining an inner lumen. The medical device further includes an anchoring member and a first sensor at a proximal portion of the elongated body, and a second sensor at a distal portion of the elongated body or distal to a distal end of the elongated body. The second sensor is configured to sense a substance of interest and the elongated body comprises a material that is a substantially non-permeable to the substance of interest.

A uroflowmetry device including a funnel for funneling urine of a user, a sensor for measuring urine level in the funnel over a measurement period, a paddle wheel operable to rotate in response to urine exiting the funnel and generate a signal after each rotation during said measurement period, a transmitter for transmitting data from the uroflowmetry device to a smart device, and a processor. The processor configured to, while the user is urinating, compute a urine flowrate based on urine level in the funnel and a number of rotations of the paddle wheel over the measurement period, and transmit the urine flowrate to the smart device to provide real-time urination feedback to the user.

The present invention relates to a device for measuring a bodily fluid drainage amount, the device comprising: a measurement case which is formed of a rigid material and provided with a bodily fluid measurement space therein; a drainage tube which is coupled to an entrance of the measurement case in a releasable structure and transfers bodily fluids discharged from a human body to the bodily fluid measurement space of the measurement case; a plurality of fluid level sensors, which are horizontally disposed on an upper surface of the measurement case and measure and inform fluid levels of the bodily fluids collected in the bodily fluid measurement space; and a control device which receives and analyzes the fluid levels of the bodily fluids, infers a tilt of the measurement case from a difference in the fluid levels of the bodily fluids, and calculates and informs a bodily fluid drainage amount.

Embodiments described herein are directed to an automatic fluid measurement system including a fluid collection system configured to drain a fluid from a patient, and a short wave infrared imaging system configured to image the collection container to provide a high contrast, high resolution image and determine a volume of fluid disposed therein. In an embodiment, the system can determine a fluid flow rate, or determine a presence or concentration of foreign particles within the collection container. One or more cameras can image different portions of the container, or can include different focal lengths. Images of the collection container can be communicated to remote computing devices for further analysis.

Disclosed herein is a urinary output monitoring system. The system can include a urinary output monitoring device having a device body with a front panel and a back panel, and a fluid collection bag attachment configured to be detachably coupled to the front panel and to secure a fluid collection bag. The system can further include a load cell configured to determine a load placed upon the fluid collection bag attachment. The load cell can be in communication with a console. An attachment system can be configured to couple the urinary output monitoring system to a securing surface, for example to the back panel, and can have two or more contact points coupled to one or more rails defining a longitudinal axis, the contact points defining a lateral axis and configured to longitudinally move along the rails.

Disclosed herein is an automated urinary output monitoring system including urine collection assembly that includes a first drainage tube coupled between a urinary catheter and an interim container, and a second drainage coupled between the interim container and a final container. A scale measures the weight of urine collected in the final container and a display depicts the volume of urine collected in the final container. A vacuum pump can be coupled with the final container to draw urine from the interim container into the final container, and an air vent can isolate the patient from the vacuum within the final container. The system can be configured to wirelessly transmit urine volume data to an external computing device. A gyroscope can be coupled with the scale to determine the orientation of the scale. Logic of the system can calculate urine volume and correlate with the time of day.

An artificial bladder system including an implantable bladder, a valve, a number of sensors, and an alert mechanism. The implantable bladder includes an outer wall forming a chamber for collecting urine of a user, the outer wall including inflow openings and an outflow opening. The valve is integrated with the outflow opening to selectively allow urine to flow from the chamber through the outflow opening. The sensors are configured to detect a urine level in the chamber. The alert mechanism is configured to generate a sensory output to alert the user that the bladder should be emptied upon detection of the urine level in the chamber by one of the sensors.

A toilet for animal, including: an upper container having a plurality of holes formed on a bottom portion, the plurality of holes penetrating in an up-down direction; a lower container that includes a receiving section receiving excrement that has passed through the plurality of holes, gravity of the upper container not acting on the lower container; and an output unit that outputs a signal changing according to an amount of the excrement received by the receiving section.

A system and method for monitoring and auditing the patient's health care compliances in order to detect bedside patient's information such as bed sores, oral health care, insertion of invasive devices, patient positions etc. The system employs visual sensors such as lidars, IR cameras etc. for observing the patients. The system also uses machine learning algorithms that use the bedside patient information into pre-trained models so as to monitor, trace and diagnose patient histories by the caretakers.