A system for modulating bladder function is disclosed. A system for evaluating the electrophysiological function of a bladder is disclosed. Methods for performing a controlled surgical procedure on a bladder are disclosed. A system for performing controlled surgical procedures in a minimally invasive manner is disclosed. An implantable device for monitoring and/or performing a neuromodulation procedure on a bladder is disclosed.

A system comprises a neuromonitoring system configured to generate nerve data regarding a state of a nerve of a patient during a surgical procedure on the patient. The system includes a robotic system configured to receive or generate, for the surgical procedure, location data that identifies a location of the nerve of the patient. The robotic system may cause the neuromonitoring system to be in either an active state or an inactive state based on the location data, where the active state is a state in which the neuromonitoring system provides the nerve data to the robotic system, while the inactive state is a state in which the neuromonitoring system does not provide the nerve data to the robotic system. The robotic system may further generate at least one control signal that implements one or more safeguards for the surgical procedure.

A system comprises a neuromonitoring system configured to generate nerve data regarding a state of a nerve of a patient during a surgical procedure on the patient. The system includes a robotic system configured to receive or generate, for the surgical procedure, location data that identifies a location of the nerve of the patient. The robotic system may cause the neuromonitoring system to be in either an active state or an inactive state based on the location data, where the active state is a state in which the neuromonitoring system provides the nerve data to the robotic system, while the inactive state is a state in which the neuromonitoring system does not provide the nerve data to the robotic system. The robotic system may further generate at least one control signal that implements one or more safeguards for the surgical procedure.

Disclosed are devices, systems and methods for neural signal detection of immune responses. In some aspects, a system includes a processing unit: a receiving unit configured to receive at least one sensor signal from a wearable sensor, where the wearable sensor is configured to detect at least one neural signal of a patient; and a tangible non-transitory computer readable medium having instructions configured to cause the processing unit to automatically receive a data signal from the receiving unit, automatically detect an immune response based at least in part on the data signal, automatically create a notification based at least in part on the immune response, and automatically present the notification to a user of the system.

Disclosed are devices, systems and methods for neural signal detection of immune responses. In some aspects, a system includes a processing unit: a receiving unit configured to receive at least one sensor signal from a wearable sensor, where the wearable sensor is configured to detect at least one neural signal of a patient; and a tangible non-transitory computer readable medium having instructions configured to cause the processing unit to automatically receive a data signal from the receiving unit, automatically detect an immune response based at least in part on the data signal, automatically create a notification based at least in part on the immune response, and automatically present the notification to a user of the system.

A method and apparatus for compressing a signal are provided. The method includes dividing a neural signal into a plurality of signal sections based on whether a spike signal is detected in the neural signal; determining a compression rate corresponding to each of the plurality of signal sections; and compressing a signal portion in each of the plurality of signal sections based on the compression rate corresponding to each of the plurality of signal sections.

A method and apparatus for compressing a signal are provided. The method includes dividing a neural signal into a plurality of signal sections based on whether a spike signal is detected in the neural signal; determining a compression rate corresponding to each of the plurality of signal sections; and compressing a signal portion in each of the plurality of signal sections based on the compression rate corresponding to each of the plurality of signal sections.

A method for titrating a stimulation parameter for one or more electrode contacts in a system for stimulating a hypoglossal nerve of a patient includes activating one of the one or more electrode contacts to stimulate the hypoglossal nerve of the patient, obtaining a first and/or second physiological measurement from the patient, comparing the first and/or second physiological measurement to a first and/or second predetermined target value, adjusting a stimulation parameter for the one of the one or more electrode contacts if the first and/or second physiological measurement differs from the first and/or second predetermined target value.

A method for titrating a stimulation parameter for one or more electrode contacts in a system for stimulating a hypoglossal nerve of a patient includes activating one of the one or more electrode contacts to stimulate the hypoglossal nerve of the patient, obtaining a first and/or second physiological measurement from the patient, comparing the first and/or second physiological measurement to a first and/or second predetermined target value, adjusting a stimulation parameter for the one of the one or more electrode contacts if the first and/or second physiological measurement differs from the first and/or second predetermined target value.

A neuron pulse acquisition system is disclosed for capturing and processing neuron flow signals from the human body in a non-invasive manner. The system includes a pad with a skin sensor configured to detect neuron pulse potentials, a variable gain amplifier (VGA) to amplify detected signals, and an analog filter (A-FILTER) to remove noise. An analog-to-digital converter (ADC) digitizes the filtered signals, which are processed by a digital signal processing (DSP) and Bluetooth unit executing Fourier Transform and Cross-Correlation algorithms to analyze neuron flow characteristics in time and frequency domains. A D/A calibration module maintains analog accuracy, and a system software controller performs spectral analysis, cross-correlation, and machine learning-based predictive modeling. The system enables real-time monitoring, classification, and diagnostic interpretation of neuron flow behavior, thereby facilitating predictive analysis of neural conditions with high precision and reliability.