11 results about "Uterine activity" patented technology

A system for monitoring and stimulating uterine muscles includes a plurality of surface electrodes configured to be disposed on an abdomen of a maternal patient and a control system. The control system is configured to obtain electromyography (EMG) data via the plurality of surface electrodes, detect at least one indicator of insufficient uterine activity based on the EMG data, and generate stimulation pulses between at least two of the plurality of surface electrodes in response to detecting the at least one indicator of insufficient uterine activity.

A tocodynamometer (toco) has a housing configured to be maintained against the abdominal skin of the maternal patient, wherein the housing forms a sealed cavity. A sensing membrane is on a front side of the housing, wherein the sensing membrane is configured to be in contact with the abdominal skin and to deform inward during uterine contractions of the maternal patient. A sensor is located in the sealed cavity of the housing and configured to provide an output based on the inward deformation of the sensing membrane. A processor is within the sealed cavity and configured to receive the output of the sensor and to generate a uterine activity value based thereon. A pressure diffusing membrane is on at least one side of the housing and is configured to expand outward when the sensing membrane deforms inward to mitigate pressure increase within the sealed cavity.

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 system for monitoring and stimulating uterine muscles includes a plurality of surface electrodes configured to be disposed on an abdomen of a maternal patient and a control system. The control system is configured to obtain electromyography (EMG) data via the plurality of surface electrodes, detect at least one indicator of insufficient uterine activity based on the EMG data, and generate stimulation pulses between at least two of the plurality of surface electrodes in response to detecting the at least one indicator of insufficient uterine activity.

Methods and systems are provided for detecting and predicting uterine activity (UA) from ultrasound receive signals and / or uterine electrogram (EHG) data using a neural network model (420) trained using ultrasound time series data (402) and / or EHG data as input data (404) and using time series labor meter (tocometer) data as true value data (405). After training, the trained UA detection model (430) may be used to detect the opportunity, duration, and intensity of uterine contractions in a new patient with higher accuracy than to. The output of the trained UA detection model (430) may also be used to train a UA prediction model (470) to predict a next uterine contraction (1210) based on a series of previous uterine contractions. Accordingly, uterine contractions may be detected and / or predicted during electronic fetal monitoring (EFM) without the use of additional too devices, thereby reducing the cost of the EFM and the number of sensing devices on which the EFM depends.

A patient monitoring system includes a set of electrodes configured to obtain a uterine activity (UA) signal and a total abdominal electrical signal from an abdomen of a maternal patient, wherein the total abdominal electrical signal includes at least the UA signal, a maternal heart signal, and a fetal heart signal. At least a subset of the set of electrodes is configured as a low pass filter to obtain the UA signal. A patient monitor is configured to subtract the UA signal from the total abdominal signal to generate a total heart signal containing at least the maternal heart signal and the fetal heart signal, determine a maternal heart rate based on the total heart signal, and output the UA signal and the maternal heart rate.

A uterine contraction pressure gauge (too) has a housing configured to remain against the abdominal skin of a maternal patient, where the housing forms a sealed cavity. A sensing membrane is on the anterior side of the housing, where the sensing membrane is configured to contact the abdominal skin and configured to deform inwardly during the occurrence of uterine contractions in the maternal patient. A sensor is located in the sealed cavity of the housing and is configured to provide an output based on inward deformation of the sensing membrane. A processor is within the sealed lumen and is configured to receive an output of the sensor and to generate a uterine activity value based on the output. A pressure diffusion membrane is on at least one side of the housing and is configured to expand outward when the sensing membrane deforms inward to mitigate a pressure increase within the sealed cavity.

A patient monitoring system includes an electrode set configured to obtain a uterine activity (UA) signal and a total abdominal electrical signal from an abdominal region of a maternal patient, where the total abdominal electrical signal includes at least the UA signal, a maternal cardiac signal, and a fetal cardiac signal. At least a subset of the electrode set is configured as a low-pass filter to obtain the UA signal. A patient monitor is configured to subtract the UA signal from the total abdominal signal to generate a total cardiac signal that includes at least the maternal cardiac signal and the fetal cardiac signal, determine a maternal heart rate based on the total cardiac signal, and output the UA signal and the maternal heart rate.

A method includes receiving acoustic inputs; generating signal channels from the acoustic inputs; pre-processing data in the signal channels; extracting S1-S2 peaks from the pre-processed data; removing artifacts and outliers from the S1-S2 peaks; generating S1-S2 signal channels based on the S1-S2 peaks in the pre-processed signal channels; selecting two or more of the S1-S2 signal channels; and combining the selected two or more S1-S2 signal channels to produce an acoustic uterine monitoring signal.

The invention discloses a multifunctional gender specificity physiological signal monitoring system which comprises a sensing module based on a gender specificity structure, a control module, a battery module and a display module. One side of the sensing module based on the gender specific structure is adhered to the skin surface in different scenes in different composite structure forms, and the other side of the sensing module is connected with the control module; the control module is fixed on the clothes in the form of a flexible circuit board; the battery module is directly connected to the control module to supply power to the control module; the display module is connected with the mobile phone end and the control module by turning on built-in Bluetooth of the mobile phone and then turning on a power switch of the control module, and real-time changes of specific signals monitored by the sensing module are displayed at the mobile phone end. According to the invention, abdominal uterine contraction strain and local temperature change of the pregnant woman are synchronously captured, and dual-mode dynamic evaluation of abnormal uterine activity in the gestation period is realized; meanwhile, the device can also serve as a male penis erection function monitoring ring, and psychological and organic ED are distinguished through radial strain-temperature collaborative analysis.

Methods and systems are provided for detecting and predicting uterine activity (UA) from an ultrasound receive signal and / or electrohysterogram (EHG) data, using a neural network model trained using ultrasound time-series data and / or EHG data as input data and time-series tocodynamometer (toco) data as ground truth data. After training, the trained UA detection model may be used to detect a timing, duration, and intensity of uterine contractions in new patients with more accuracy than the toco. An output of the trained UA detection model may also be used to train a UA prediction model to predict a next uterine contraction based on a series of preceding uterine contractions. As a result, the uterine contractions may be detected and / or predicted during electronic fetal monitoring (EFM) without the use of an additional toco device, reducing a cost of the EFM and a number of sensing devices relied on for the EFM.