Disclosed are automated urinary output (UO)-measuring systems and methods. An automated UO-measuring system can include a container configured to collect a fluid such as urine. The container can include a console, one or more ultrasonic sensors coupled to the console for determining a fluid level within the container, one or more accelerometers coupled to the console for determining a near-zero acceleration state of the container for the determining of the fluid level within the container, and a valve configured to pass fluid therethrough by way of a fluid line coupled to the valve. The automated UO-measuring system can also include a container holder. The container holder can have a pocket for holding the container and a sleeve for securing the container to a user. A method of the automated UO-measuring system can include a method of using the automated UO-measuring system to collect and measure urine output of the user.

Equipment adaptor assembly and equipment stands are described where the adaptor may generally comprise an adaptor body having a width and a depth, and a connector extending from the adaptor body configured for securement to the equipment. A first recess may be defined by a brace positioned at a first location along the adaptor body, and a second recess may be defined at a second location at a distance from the first recess. The adaptor may be further configured to be interchangeably securable to a support structure via the first recess or second recess while maintaining a level orientation of the equipment such that securement via the first recess positions the equipment at a first height relative to horizontal and securement to the support structure via the second recess positions the equipment at a second height relative to horizontal where the first height and second height are different.

The present disclosure generally relates to fluid therapy based on patient data, and associated systems, devices, and methods. Embodiments of the present technology include trained models configured to improve the effectiveness of fluid therapy received by a patient. In some embodiments, the models improve a specific patient's response to fluid therapy, and predict whether a patient is expected to respond to fluid therapy, based on data associated with the patient's response to the fluid therapy.

Devices, methods and systems are disclosed for monitoring and analysis of bodily emissions emitted from a user. The device comprises at least an image capturing apparatus, at least one light emission source and, at least one sensor for capturing and monitoring excreta and urine from the user. An artificial intelligence based analysis system is utilized to process data collected from the device and determined at least one parameter based on the analysis. The determined parameter determines health-related information, which is communicated to the user via a user interface.

Automated catheter and automated chest tube systems and devices. In some embodiments, the automated, or smart, catheter and chest tube of the present disclosure includes a housing for containing one or more collection reservoirs for collecting fluid, a flexible tube used to drain the fluid from either the bladder, chest cavity, or other appropriate bodily region, and a measuring device to measure the amount of fluid flowing through the flexible tube and into the collection reservoir(s). In some embodiments, the smart catheter and chest tube of the present disclosure includes one or more processors, one or more transmitters, and one or more receivers to transmit and receive data regarding the volume and other characteristics of the fluid collected in the reservoirs and to receive commands for performing various functions. The alarms are triggered when certain predetermined liquid volume thresholds are exceeded or not exceeded.

A fluid real-time monitoring system for monitoring an excreted body fluid of care recipient is provided. The system comprises a weight sensor, a processing device and an alarm device. The weight sensor senses weight information of a fluid collection bag. The processing device coupled to the weight sensor calculates the weight information and generating a first control signal when the weight information is greater than or equal to a critical value of the fluid collection bag. The alarm device coupled to the processing device generates an alarm message according to the first control signal.

Disclosed herein is a urine collection bag, system, and methods directed to automated measurement of a quantity of urine. The urine collection system can include the urine collection bag, a catheter, and flexible drainage tubing. The urine collection bag can include a collection area, force sensors, and circuitry configured to determine the volume of urine in the collection area based on pressure or weight measured by the force sensors, and the specific gravity of the urine. The catheter may include a small female external catheter (FEC) with an opening on a top side, a wicking catheter with a wicking area on a top side, a finger-mountable catheter, or a male external catheter (MEC). The tubing may be secured to a patient's leg with a stabilization device or a fabric strap. The catheter can remain on a patient while the patient stands or walks.

Various embodiments of the present disclosure provide systems and methods for capacitance-based measurement of bodily fluids. An example system may include a fluid collection reservoir configured to collect one or more bodily fluids of an individual, a first capacitance sensor configured to output a first capacitance value indicative of a first fluid level of the one or more bodily fluids, a second capacitance sensor configured to output a second capacitance value indicative of a second fluid level of the one or more bodily fluids, and one or more processors configured to receive the first capacitance value and the second capacitance value and determine a third fluid level of the one or more bodily fluids based at least in part on the first fluid level and the second fluid level, where the third fluid level is indicative of one or more health metrics for the individual.

The present application provides a system for determining a dosage of a diuretic required by a subject suffering from or at risk of heart failure, which facilitates a closed loop of measuring urinary parameters and treating. The system comprises at least a sodium measurement sensor, such as a chemo-electrical sensor, for measuring urinary sodium levels, and one or more processors, configured to receive the measured urinary sodium levels; calculate a subject-optimized dosage of the diuretic based on the measured urinary sodium levels, optionally using a machine learning algorithm; and provide an output comprising the calculated subject-optimized dosage of diuretic. The present application further comprises methods of using the system.

An urinary pumping device for generating a fluid flow through a urethra of a patient includes an activation arrangement configured to induce intermittent compression and release of the urethra, and a mounting structure to mount and unmount the activation arrangement to a body of the patient. The mounting structure is configured to position the activation arrangement on the body of the patient such that the urethra of the patient can be intermittently compressed and released by the activation arrangement.