A simple urine flow test result learning method and a lower urinary tract symptom diagnosis method is provided, and more particularly, a simple urine flow test result learning method and a lower urinary tract symptom diagnosis method of training a neural network using simple urine flow test results, which are non-invasive data, and diagnosing lower urinary tract symptoms using the trained neural network, wherein the lower urinary tract symptom diagnosis method prevents pain and shame from occurring in a patient during a diagnosis process of lower urinary tract symptoms and reduces the risk of secondary infection occurring through an invasive diagnosis method, by generating a trained model using results of a simple urine flow test, which is a non-invasive test method, based on deep learning, and diagnosing lower urinary tract symptoms using the trained model.

Disclosed is a strip element configured to be externally and removably provided to an absorbent hygiene article, the strip element comprising at least two sensing elements for obtaining excretion-related information in the absorbent hygiene article, at least two close contact sensing zones for being removably attached to a garment facing surface of the absorbent hygiene article, respectively, and each comprising one of the at least two sensing elements, wherein, each close contact sensing zone includes first attachment means for keeping the close contact sensing zone in contact with the absorbent hygiene article by a first attachment force, the two close contact sensing zones being separated by a flex zone which is either free of any attachment means or includes second attachment means for establishing a second attachment force between the flex zone and the absorbent hygiene article, the second attachment force being a smaller force than the first contact force.

This disclosure describes methods, systems, and devices configured to determine a timing of a future bladder related event of a patient. For example, a system includes processing circuitry configured to identify a timing of a plurality of bladder related events of a patient, determine, based on the timing of the plurality of bladder related events of the patient, a probability to experience a bladder related event function for the patient, the probability to experience a bladder related event function indicating a probability that the patient will experience a bladder related event at an elapsed time after a previous bladder related event, predict, based on the probability to experience a bladder related event function, a timing of a future bladder related event, and control delivery of a therapy to the patient based on the predicted timing of the future bladder related event.

The present invention relates to a computer implemented method for controlling a gas detector, a gas detector, a control system for detecting an incontinence event, and a computer implemented method for detecting an incontinence event. The method for controlling a gas detector comprises receiving a plurality of datasets from the gas detector. Each dataset is associated with a time interval and comprises at least one environmental measurement; and at least one detected level of ammonia. The method comprises receiving one or more user measurements, where a user measurement comprises an incontinence state determined at a particular time. The method comprises determining criteria to identify an incontinence event, using the received plurality of datasets and the received user measurement; and transmitting the criteria to the gas detector. The criteria define a characteristic of a subset of data of the plurality of datasets indicating an incontinence event.

A patient support apparatus includes a frame and a mattress supported by the frame and arranged to support a patient thereon. A sensor is included to detect moisture on the patient and/or the patient support apparatus. The sensor produces signals indicative of the presence of moisture on the patient support apparatus. One or more alerts are output in response to the signals provided by the sensor to notify a caregiver of the presence of moisture on the patient support apparatus.

Methods and apparatuses for monitoring and regulating physiological states and functions are disclosed. Several embodiments include application of one or more microelectrode arrays to a dorsal root ganglion for measurement of sensory neuron activity, or stimulation of sensory reflex circuits. The methods and apparatuses can be used, for example, for monitoring or controlling bladder function in a patient.

The invention provides a device for stimulating peripheral nerves, comprising a memory, at least one electrode attached to the patient's body for generating pulses, and a control unit connected with an electrode for setting at least one electrode pulse parameter. The device further includes a detector of response to neuromodulation connected with a control unit for transmitting information on a frequency of movement of at least a part of the body to the control unit, and a controller connected with the control unit for acquiring a user input. The control unit of the device further sets flow of current of electrode pulses automatically, depending on information on a frequency value of movement of a part of the body. The invention further provides a method for treating the syndromes of an overactive bladder using a neuromodulation device. And method of collecting information of such devices.

The present disclosure relates generally to using detected bladder events for the diagnosis of urinary incontinence or the treatment of lower urinary tract dysfunction. A system includes a sensing device comprising a pressure sensor to directly detect a pressure within a bladder. The sensing device is adapted to be located within the bladder. The system also includes a signal processing device to: receive a signal indicating the detected pressure within the bladder; detect a bladder event based the detected pressure within the signal; and characterize the bladder event as a bladder contraction event or a non-contraction event. The characterization of the bladder event can be used in the diagnosis of urinary incontinence or the treatment of lower urinary tract dysfunction.

A method of providing hygiene services to a patient. The method includes acquiring patient status data of a patient with a sensor. Incontinence event data is acquired with an incontinence detection system. After the occurrence of the incontinence event, a sleep status of the patient is determined based the patient status data. A time period to provide hygiene services to the patient is determined based on the incontinence event data and the sleep status of the patient.

A moisture management apparatus monitors an area for moisture events and wirelessly transmits moisture-related information to one or more notification devices. An embodiment of the moisture management apparatus includes a substrate and one or more sensors supported by the substrate. The sensor(s) emit wireless signals indicative of the moisture-related information. A sensor event communication system forwards the sensor signals to another device, such as a notification device. The sensor event communication system may monitor other types of patient events. Portions of the moisture management apparatus and/or the moisture event communication system may be embodied in a patient support apparatus, such as a bed.