Precisis Gmbh

Precisis Us, Inc.

Stellate Systems Inc.

Precisis Ag

Jean Gotman

Richard J Cohen

Harry Lee

Wolfgang Daum

Gregor Remmert

Allan Foreman

Rajeev Agarwal

YunHua Wang

Danny Flanagan

Andrew James Cole

Michael Nitzert

Richard Cohen

The invention features methods and devices useful for stimulating brain tissue in a subject via electrodes within cranial bone. These methods and devices may be utilized for the detection, prevention, and/or treatment of neurological disorders via electric stimulation. Additionally, the methods and devices disclosed herein may be useful for the treatment, inhibition, and/or arrestment of the growth of tumors.

Methods and devices for the electrical stimulation of brain tissue via electrodes within cranial bone

The present invention features a medical device and methods for the prevention and/or treatment of neurological disorders via electrical stimulation. These device are minimally or non-invasive and are capable of detection of a neurological disorder and its subsequent prevention or treatment. Specifically, seizure control is among the targeted therapeutic areas. Components of the device include control electronics and electrodes; the latter are targeting electrodes located entirely outside the skull and can be constructed from ring type structures or virtually connected disc type arrays. Other sub-systems included in the medical device are a control system, a battery unit, and wires connecting these and other sub-systems.

Treatment of neurological disorders via electrical stimulation, and methods related thereto

A machine-readable storage medium containing a program element for execution by a computing device for performing spike and artifact detection in EG data. The program element comprises a spike detection module for processing EG data to detect spikes. Each spike is a candidate having a likelihood of being related to a physiological event of interest. The program element further comprises an artifact detection module. The artifact detection module is operative to compute respective models of events manifested by the respective spikes detected by the spike detection module, to use the computed models to determine which spikes among the spikes detected by the spike detection module have a high likelihood of being artifacts, to filter the spikes detected by the spike detection module on the basis of the computed models to produce filtered data and to output the filtered data.

Artifact detection in encephalogram data using an event model

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Westmount, Canada

Jean Gotman