摘要:
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.
摘要:
Disclosed are medical devices for the prevention and/or treatment of neurological disorders via electrical stimulation, and methods related thereto. The devices may also be utilized to detect disorders before the prevention or treatment of a neurological disorder. These devices are minimally or non-invasive. The present medical devices comprise various components, which include electrodes and control electronics. The electrodes are targeting electrodes constructed from ring type structures or virtually connected disc type arrays. The electrodes are located entirely outside the skull. The present medical devices also comprise one or more subsystems, a control system, a battery unit, and wires connecting the one or more subsystems. These devices may also be used for acute seizure control.
摘要:
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.