This disclosure relates to devices, systems, and methods for autotitrating stimulation parameters. In one example, a method includes controlling an implantable medical device to deliver electrical stimulation to a patient according to a plurality of electrical stimulation parameter sets, each electrical stimulation parameter set of the plurality of electrical stimulation parameter sets defining a respective electrical stimulation signal deliverable to the patient, obtaining, by one or more processors and for each electrical stimulation parameter set of the plurality of electrical stimulation parameter sets, a respective signal representative of an electrical response sensed from the patient in response to the electrical stimulation delivered to the patient according to the respective electrical stimulation parameter set, and determining, by the one or more processors and based on the obtained respective signals, a primary electrical stimulation parameter set that defines electrical stimulation therapy deliverable to the patient by the implantable medical device.

An automated EP analysis apparatus for monitoring, detecting and identifying changes (adverse or recovering) to a physiological system generating the analyzed EPs, wherein the apparatus is adapted to characterize and classify EPs and create alerts of changes (adverse or recovering) to the physiological systems generating the EPs if the acquired EP waveforms change significantly in latency, amplitude or morphology.

A system for detecting autonomic dysreflexia (AD) may measure skin nerve activity (skNA), galvanic skin response (GSR), heart rate, and skin temperature of a subject. The system may extract, a plurality of features from the measurements. The features may include medianNN, average iskNA, number of bursts, RMSSD, pNN5, or a combination thereof. The system may classify, based on a machine learning model, the plurality of features to identify the onset of AD in the subject. The system may output, in response to the onset of AD, a message indicative of the onset of AD.

Closed-loop deep brain stimulation using neural and behavioral biomarkers of specific motor features is provided via training a machine learning model to differentiate first neural signals generated by a biological subject that are associated with tremor in the biological subject from second neural signals generated by the biological subject that are associated with bradykinesia in the biological subject; placing a first plurality and a second plurality of deep brain stimulation electrodes in a subthalamic nucleus (STN) of the biological subject; placing a plurality of microelectrodes and a plurality of macroelectrodes in the STN; in response to identifying, by the machine learning model, a given neural signal as one of the first or second neural signals, activating a corresponding one of the first or second plurality of electrodes with a therapeutically effective voltage and current to affect deep brain stimulation in the biological subject to treat a neuromotor disorder.

Closed-loop deep brain stimulation using neural and behavioral biomarkers of specific motor features is provided via training a machine learning model to differentiate first neural signals generated by a biological subject that are associated with tremor in the biological subject from second neural signals generated by the biological subject that are associated with bradykinesia in the biological subject; placing a first plurality and a second plurality of deep brain stimulation electrodes in a subthalamic nucleus (STN) of the biological subject; placing a plurality of microelectrodes and a plurality of macroelectrodes in the STN; in response to identifying, by the machine learning model, a given neural signal as one of the first or second neural signals, activating a corresponding one of the first or second plurality of electrodes with a therapeutically effective voltage and current to affect deep brain stimulation in the biological subject to treat a neuromotor disorder.

An exemplary vascular neural interface device/configuration and method can be provided for at least one of stimulating or recording the nervous system. For example, a package can be provided which can be inserted within a blood vessel. The package can include at least one transducer, at least one electrode, and at least one integrated circuit. The at least one transducer can receive or transmit a wireless signal which is used to provide energy or communicate with the at least one integrated circuit to at least one of record or stimulate the nervous system using recording electronics or stimulating electronics.

A paralysis monitoring system including a nerve stimulation device configured to deliver a series of low current electrical impulses to a nerve to produce only sub-visible muscle responses; and a recording device configured to record electrical activity associated with an evoked muscle response caused by the series of low current electrical impulses. The low current electrical impulses that the nerve stimulation device is configured to deliver are between 0.2 mA-4 mA.

A system for recording, processing, and monitoring biosignals is provided, the system being configured to suspend data acquisition whenever an electric surgical tool or other generator of high frequency interference is in use. Such a system may protect the hardware of the system and reduce or eliminate the acquisition of distorted signals. The system of some embodiments includes an amplifier system configured to detect the presence of high frequency interference. Related methods are also disclosed.

A topical nerve stimulator patch and system are provided including a dermal patch; an electrical signal generator associated with the patch; a signal receiver to activate the electrical signal generator; a power source for the electrical signal generator associated with the patch; an electrical signal activation device; and a nerve feedback sensor.

Systems and methods for enhancing diagnostic evoked potential recordings of a nerve or nerve pathway of interest. A grid array of stimulating electrodes are placed on, over, or through skin in a location beneath which a nerve or nerve pathway is suspected to lie. A stimulator controls the grid array, where each electrode is independently controllable as active or inactive, as a cathode or anode, etc. A plurality of recording electrodes may record Somato-Sensory Evoked Potentials (SSEPs) and/or Transcranial Electrical Motor Evoked Potentials (TCeMEP) in response to activation of the stimulating electrodes. A processor controls stimulating the stimulating electrodes, and receives responses from the recording electrodes, in a general search mode and a focused search mode in order to use a minimum stimulation intensity at which a maximum response amplitude is detected to continually stimulate the nerve or the nerve pathway.