A computer-implemented method includes providing, by at least one computer processor, a plurality of signal channels, wherein the plurality of signal channels includes a plurality of electrical uterine monitoring signal channels and a plurality of acoustic uterine monitoring signal channels; determining, by the at least one computer processor, a plurality of channel weights, wherein each of the channel weights corresponds to a particular one of the signal channels; and generating, by the at least one computer processor, a combined uterine monitoring signal channel by calculating a weighted average of the signal channels based on the channel weight for each of the signal channels.

A computer-implemented method includes providing, by at least one computer processor, a plurality of signal channels, wherein the plurality of signal channels includes a plurality of electrical uterine monitoring signal channels and a plurality of acoustic uterine monitoring signal channels; determining, by the at least one computer processor, a plurality of channel weights, wherein each of the channel weights corresponds to a particular one of the signal channels; and generating, by the at least one computer processor, a combined uterine monitoring signal channel by calculating a weighted average of the signal channels based on the channel weight for each of the signal channels.

A computer-implemented method includes providing, by at least one computer processor, a plurality of signal channels, wherein the plurality of signal channels includes a plurality of electrical uterine monitoring signal channels and a plurality of acoustic uterine monitoring signal channels; determining, by the at least one computer processor, a plurality of channel weights, wherein each of the channel weights corresponds to a particular one of the signal channels; and generating, by the at least one computer processor, a combined uterine monitoring signal channel by calculating a weighted average of the signal channels based on the channel weight for each of the signal channels.

A computer-implemented method includes providing, by at least one computer processor, a plurality of signal channels, wherein the plurality of signal channels includes a plurality of electrical uterine monitoring signal channels and a plurality of acoustic uterine monitoring signal channels; determining, by the at least one computer processor, a plurality of channel weights, wherein each of the channel weights corresponds to a particular one of the signal channels; and generating, by the at least one computer processor, a combined uterine monitoring signal channel by calculating a weighted average of the signal channels based on the channel weight for each of the signal channels.

The present disclosure relates to neural electrode technology for measuring a biosignal of a human or applying a neural signal to the human, and a neural electrode assembly includes a body that is inserted into a uterus in a non-invasive manner, a recording neural electrode formed to measure a uterine contraction-evoked neural signal, the recording neural electrode being coupled to the body, and a stimulating neural electrode formed to stimulate a nerve entering the uterus to suppress the uterine contraction, the stimulating neural electrode being coupled to the body.

The present disclosure relates to neural electrode technology for measuring a biosignal of a human or applying a neural signal to the human, and a neural electrode assembly includes a body that is inserted into a uterus in a non-invasive manner, a recording neural electrode formed to measure a uterine contraction-evoked neural signal, the recording neural electrode being coupled to the body, and a stimulating neural electrode formed to stimulate a nerve entering the uterus to suppress the uterine contraction, the stimulating neural electrode being coupled to the body.

A urodynamic investigation apparatus for receipt of urine from a bladder is provided. The apparatus is characterized by a tubular element, first and second fittings, and a sleeve element, for select passage of urine there through, within the tubular element. The tubular element is characterized by opposing first and second end portions, and a port. The fittings are adapted to be received by the opposing end portions of the tubular element so as to delimit an apparatus chamber. The sleeve element, suspended between the fittings within the chamber, has collapsed and open configurations. The collapsed configuration is indicative of a no urine flow condition, and the open configuration indicative of a urine flow condition, with the sleeve element urine flow condition being a function of pressure applied to the chamber via the port of the tubular element.

A urodynamic investigation apparatus for receipt of urine from a bladder is provided. The apparatus is characterized by a tubular element, first and second fittings, and a sleeve element, for select passage of urine there through, within the tubular element. The tubular element is characterized by opposing first and second end portions, and a port. The fittings are adapted to be received by the opposing end portions of the tubular element so as to delimit an apparatus chamber. The sleeve element, suspended between the fittings within the chamber, has collapsed and open configurations. The collapsed configuration is indicative of a no urine flow condition, and the open configuration indicative of a urine flow condition, with the sleeve element urine flow condition being a function of pressure applied to the chamber via the port of the tubular element.

A computer-implemented method for pelvic floor feedback. The method includes capturing a strength of action potentials via wireless sensors, the wireless sensors positioned proximate to a pelvic floor of a user. The method also includes transmitting the strength of the action potentials to a mobile device. The method also includes recording the strength of the action potentials on the mobile device.

A computer-implemented method for pelvic floor feedback. The method includes capturing a strength of action potentials via wireless sensors, the wireless sensors positioned proximate to a pelvic floor of a user. The method also includes transmitting the strength of the action potentials to a mobile device. The method also includes recording the strength of the action potentials on the mobile device.