A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

We report a method of a method for detecting an epileptic seizure, comprising providing a first body signal reference value; determining a current body signal value from a time series of body signals; comparing the current body signal value and the first reference value; determining a work level of the patient; determining whether the current body signal value comprises an ictal component, based on the work level and the comparing; issuing a detection of an epileptic seizure in response to the determination that the current body signal value comprises the ictal component; and taking at least one further action (e.g. warning, delivering a therapy, etc.), based on the detection. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

We report a method for optimizing the therapeutic efficacy of evoked responses elicited by one or more electrical impulses delivered to a neural structure, comprising: comparing a test evoked response to an evoked response elicited by therapeutically efficacious electrical stimulation; adjusting at least one parameter of the electrical impulses in response to a determination that said test evoked response is not similar to the therapeutic evoked response; determining that the test evoked response resembles the therapeutic evoked response after performing at least one of said adjustments; and saving to memory at least one adjusted parameter that increased the similarity between the test evoked response and the therapeutic evoked response. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

We report a method of determining an occurrence of an epileptic convulsive seizure in a patient, comprising: receiving body data from a patient during a first time period, determining a work level relating to said first time period at least based partially upon said body data; determining whether said work level exceeds an extreme work level threshold; performing a responsive action, in response to a determination that said work level exceeds said extreme work level threshold. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

An initial set of parameters for operating one or more detection tools is automatically derived and subsequently adjusted so that each detection tool is more or less sensitive to signal characteristics in a region of interest. Detection tool(s) may be applied to physiological signals sensed from a patient (such as EEG signals) and may be configured to run in an implanted medical device that is programmable with the parameters to look for rhythmic activity, spiking, and power changes in the sensed signals, etc. A detection tool may be selected and parameter values derived in a logical sequence and/or in pairs based on a graphical representation of an activity type which may be selected by a user, for example, by clicking and dragging on the graphic via a GUI. Displayed simulations allow a user to assess what will be detected with a derived parameter set and then to adjust the sensitivity of the set or start over as desired.

A patient monitoring system includes an electroencephalography (EEG) monitor and an EEG sensor array. The EEG sensor array includes a plurality of electrodes configured to acquire EEG signals from a patient. The EEG monitor may be configured to calculate one or more depth of anesthesia indices for the patient based on received EEG signals from the EEG sensor array. Additionally, the EEG monitor may be configured to generate and display a topographic color map of the calculated depth of anesthesia indices.

A system for estimating physical parameter(s) of a medium having electrolyte(s), including at least one working electrode; one counter electrode; a current generator delivering to the electrodes electric current pulses; a computer-readable memory including a predefined analytic model of an electric potential, between the working and counter electrodes, as a function of time, receiving as inputs the current and current pulse duration and including the physical parameter to be estimated; an acquisition unit including a signal amplifier for acquiring and amplifying an electric potential recorded by the electrodes; a processor including a stimulation module controlling the current generator to deliver a biphasic charge-balanced current during a stimulation duration; an acquisition module acquiring an electric potential variation during the stimulation duration; and a calculation module receiving the acquired electric potential variation, fitting the acquired electric potential variation using the predefined analytic model, and outputting the estimated physical parameter.

A device and method is provided for stimulation of neurons. The device includes a stimulation unit that can be implanted into a body of a patient and has stimulation elements that apply a stimulation signal to tissue of the patient to stimulate neurons in the brain and/or the spinal cord of the patient. Moreover, a measuring unit receive a measurement signal that reflects a neuronal activity of the stimulated neurons. Further, a control unit generate a modulation signal from the measurement signal, and modulates an amplitude of a pulse train with the modulation signal. Individual pulses of the pulse train include a first and second pulse portions that introduce and remove charge from the tissue. Moreover, the control unit varies a pause between the pulse portions until the synchronization of the stimulated neurons is minimized or falls below a predetermined threshold.

Disclosed systems include a self-contained electroencephalogram (EEG) recording patch comprising a first electrode, a second electrode and wherein the first and second electrodes cooperate to measure a skin-electrode impedance, a substrate containing circuitry for generating an EEG signal from the measured skin-electrode impedance, amplifying the EEG signal, digitizing the EEG signal, and retrievably storing the EGG signal. The patch also comprises a power source and an enclosure that houses the substrate, the power source, and the first and second electrodes in a unitary package.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, with the customer's permission, a vehicle operator in an autonomous or semi-autonomous vehicle may be determined by a sensor disposed within the autonomous or semi-autonomous vehicle or a mobile computing device associated with the vehicle operator. A determination may be made as to whether the vehicle operator is authorized to operate the vehicle based upon the determined identity of the vehicle operator; and if the vehicle operator is not authorized, an alert may be generated and/or the vehicle may be caused to not operate. Alternatively, autonomous operation features may be automatically engaged to automatically drive the autonomous or semi-autonomous vehicle to a safe location when the operator is not authorized. Insurance discounts may be provided based upon the anti-theft functionality.