Electrodes for use in electroencephalographic recording, including consciousness and seizure monitoring applications, have novel features that speed, facilitate or enforce proper placement of the electrodes, including any of alignment indicators, tabs and juts, color coding, and an insulating bridge between reference and ground electrodes which ensures a safe application distance between the conductive regions of the two electrodes in the event of cardiac defibrillation. A method of using a set of at least four such electrodes is also disclosed.

A method of assessing electrical activity of a brain includes, for each of a plurality of electrical-activity records of the brain, applying a machine-learned ESC model to the record to classify the record as one of a seizure record or a non-seizure record, wherein each of record is sensed by a corresponding one of a plurality of sensing channels of an implanted medical device; for each seizure record in a set of seizure records, applying the machine-learned ESC model to the seizure record to classify the seizure record as one of a local-seizure record or a spread-seizure record, wherein the seizure record comprises a first seizure record captured by a first sensing channel and a second seizure record captured by a second sensing channel; and for each spread-seizure record in a set of spread-seizure records, applying a machine-learned SSC model to the spread-seizure record to classify the spread-seizure record as a type of seizure spread pattern.

Seizure prediction systems and methods include measuring impedance within a brain of a patient to determine whether the brain is in a state indicative of a possibility of an onset of a seizure. In some embodiments, the measured impedance is compared to a predetermined threshold in order to determine whether the brain is in a state indicative of a possibility of a seizure. In other embodiments, a trend of the impedance measurements is correlated to a template. In other embodiments, a frequency component of a waveform of the impedance measurement amplitudes over time is correlated to frequency components of a template waveform. Upon detecting a state in which a seizure is likely to occur, a seizure indicator may be generated, which, in some embodiments, may be used to activate therapy delivery to the patient or, in other embodiments, activate an alarm.

A patient advisory device (“PAD”) and its methods of use. The PAD may be configured to alert the patient about an estimated brain state of the patient. In preferred embodiments, the PAD is adapted to alert the patient of the patient's brain state, which corresponds to the patient's propensity of transitioning into an ictal brain state, e.g., having a seizure. Based on the specific type of alert, the patient will be made aware whether they are highly unlikely to have a seizure for a given period of time, an elevated propensity of having a seizure, a seizure is occurring or imminent, or the patient's brain state is unknown.

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.

The invention presented personalized biofeedback computerized system, an End-to-End eHealth smart platform for analysis, diagnosis and therapy of types of behavioral disorders. The system comprises a Captive Portal (CP) data input for initial input data and for continuous input data, a database comprising data, a Computer Processing Manager (CPM) for processing the patient data and the database, a Graphical User Interface (GUI) for interfacing with a user, and an Electroencephalography (EEG) or hemoencephalography (HEG) cap for stimulating predetermined areas in the brain, wherein the CPM is interconnected to the CPP, the database and the GUI, the CPM provides instructions for cranial electrode mediated stimulation to the areas in the brain according to a predetermined patient data dependent protocol, and the database provides external data. A preferred embodiment of the invention is a multilayered bio-feedbacking system.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire sensor data descriptive of patient motion and at least one processor coupled to the at least one sensor. The at least one processor is configured to detect the patient motion from the sensor data, and to classify the patient motion.

An implantable electrode array is provided, the electrode array comprising a substrate, the substrate having a front side and a back side, and a first number of first electrodes. The first electrodes are formed as contact pads, and are arranged on the front side. The substrate comprises a second number of prefabricated holes at predetermined positions, the holes extending from the front side through the substrate towards the back side, and being arranged such the holes may be penetrated by elongated electrodes placed at the predetermined positions.

A medical device senses electrical activity within a patient and, in some embodiments, delivers stimulation to the patient via a plurality electrical paths, which include electrodes and associated conductors of one or more leads. The medical device determines whether a symptomatic event, such as a seizure, is detected based on the sensed electrical activity, and measures the impedance of one or more of the paths in response to the determination. If the medical device identifies a dysfunctional electrical path based on the measured impedance, the device may, as examples, disable the dysfunctional electrical path, or modify a stimulation or sensing program to not use the dysfunctional electrical path. In this manner, the medical device may identify inaccurate symptomatic event detection and, where the device delivers a therapy in response to such detection, such as stimulation via the electrical paths, avoid inappropriate therapy delivery.

The present invention presents methods and apparatus for detecting, imaging, monitoring, and modulating of brain activities and neuronal activities in the brain using radiofrequency (RF) electromagnetic (EM) waves, as well as methods and apparatus for detecting, imaging, and monitoring breathing and heart-beating using RF EM waves.