Techniques are described determining electrodes that are proximate or distal to location of an oscillatory signal source in a patient based on current source densities (CSDs). Processing circuitry may determine, for one or more electrodes of a plurality of electrodes, respective time-varying measurements of CSDs, aggregate, for the one or more electrodes of the plurality electrodes, the respective time-varying measurements of the CSDs to generate respective average level values for the one or more electrodes of the plurality of electrodes, determine, for one or more electrodes of the plurality of electrodes, respective phase-magnitude representations of the time-varying measurements of the CSDs. The respective phase-magnitude representations are indicative of respective magnitudes and phases of a particular frequency component of respective time-varying measurements of the CSDs. The particular frequency component is a frequency component having a largest transform coefficient in a time-varying measurement of a CSD having a largest average level value.

The present invention is directed to a wearable system wherein elements of the system, including various sensors adapted to detect biometric and other data and/or to deliver drugs, are positioned proximal to, on or in the ear canal of a person. In embodiments of the invention, elements of the system, including drug delivery devices, are positioned on or in the ear canal for extended periods of time. For example, an element of the system may be positioned on the tympanic membrane of a user and left there overnight, for multiple days, months, or years. Because of the position and longevity of the system elements in the ear canal, the present invention has many advantages over prior wearable biometric and drug delivery devices.

Implantable nerve transducers are provided herein, along with methods of fabricated such implantable nerve transducers. In one embodiment, an implantable nerve transducer includes a first housing including a first material, the first housing defining a first chamber; a stimulator circuit positioned within the first chamber and being disposed on a first substrate including the first material, the first material being a non-metallic biocompatible material; a second housing including the first material, the second housing defining a second chamber; and a solid-state battery disposed on a second substrate including the first material, the solid-state battery being positioned within the second chamber, the second housing being mounted to the first housing, the implantable nerve transducer being configured to be implantable and configured to stimulate or sense signals from a nerve of a living organism.

A system performs concurrent detection and early detection of epileptic seizure episodes, based on scalp electroencephalogram (EEG) of a patient collected through a data acquisition device in the course of the patient's normal daily activities. An early detection model, which is trained and retrained applying machine learning techniques at predetermined intervals on the collected data, enables issuing of an early warning of an upcoming seizure episode to allow the patient to take necessary preparatory actions (e.g., seeking a safe location for the episode to happen and alerting care-givers).

A system and method for using electroencephalographic (EEG) signals to monitor brain function, preferably detect occurrence of traumatic brain injury (TBI) to screen, assess, and potentially provide mitigating treatment to improve short and long term adverse outcomes of mild TBI (mTBI) and TBI. The system and method provides a readily available tool to assist in accurate and objective assessment of subjects with TBI, immediately at the point of injury (POI), during transportation, or upon arrival at a care facility, that preferably is applicable without advanced training or expertise.

Methods, systems, and apparatus for detecting and/or validating a detection of a state change by matching the shape of one or more of an cardiac data series, a heart rate variability data series, or at least a portion of a heart beat complex, derived from cardiac data, to an appropriate template.

A method for assessment, optimization and logging of the effects of a therapy for a medical condition, including (a) receiving into a signal processor input signals indicative of the subject's brain activity; (b) characterizing the spatio-temporal behavior of the brain activity using the signals; (c) delivering a therapy to a target tissue of the subject; (d) characterizing the spatio-temporal effect of the therapy on the brain activity; (e) in response to the characterizing, optimizing at least one parameter of the therapy if the brain activity has not been satisfactorily modified and/or has been adversely modified by the therapy; (f) characterizing the spatio-temporal effect of the at least one optimized parameter; and (g) logging to memory the at least one optimized parameter. A computer readable program storage unit encoded with instructions that, when executed by a computer, performs the method.

Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.

The present invention relates to devices and methods of use thereof for detection of biomolecules, in vitro, in vivo, or in situ. The invention relates to methods of diagnosing and/or treating a subject as having or being at risk of developing a disease or condition that is associated with abnormal levels of one or more biomolecules including, but not limited to, inter alia, epilepsy, diseases of the basal ganglia, athetoid, dystonic diseases, neoplasms, Parkinson's disease, brain injuries, spinal cord injuries, and cancer. The invention also provides methods of differentiating white matter from gray matter. In some embodiments, regions of the brain to be resected or targeted for pharmaceutical therapy are identified using sensors. The invention further provides methods of measuring the neurotoxicity of a material by comparing microvoltammograms of a neural tissue in the presence and absence of the material using the inventive sensors.

A method, comprising receiving at least one of a signal relating to a first cardiac activity and a signal relating to a first body movement from a patient; triggering at least one of a test of the patient's responsiveness, awareness, a second cardiac activity, a second body movement, a spectral analysis test of the second cardiac activity, and a spectral analysis test of the second body movement, based on at least one of the signal relating to the first cardiac activity and the signal relating to the first body movement; determining an occurrence of an epileptic event based at least in part on said one or more triggered tests; and performing a further action in response to said determination of said occurrence of said epileptic event. Further methods allow classification of epileptic events. Apparatus and systems capable of implementing the method.