System for treating a subject with electrical stimulation based on a predicted or identified seizure
The present invention relates to a brain dysfunction and seizure detector monitor and system, and a method of detecting brain dysfunction and/or seizure of a subject. Preferably, the present invention also includes one or more seizure detection algorithms. The analysis method is specifically optimized to amplify abnormal brain activity and minimize normal background activity yielding a seizure index directly related to the current presence of ictal activity in the signal. Additionally, a seizure probability index based on historical values of the aforementioned seizure index, is derived for diagnostic purposes. The seizure probability index quantifies the probability that the patient has exhibited abnormal brain activity since the beginning of the recording. These indexes can be used in the context of emergency and/or clinical situations to assess the status and well-being of a patient's brain, or can be used to automatically administer treatment to stop the seizure before clinical signs appear.
1. A system for detecting and treating seizures with electrical treatment comprising:
at least two brain electrodes configured for implantation into the brain, the brain electrodes adapted to detect brain wave activity and provide signals of the brain wave activity detected;
a patient module adapted for a patient comprising a processor configured with an algorithm,
(1) wherein the processor is adapted to receive the signals from the at least two electrodes, and
(2) wherein the algorithm, when executed by the processor, causes the processor to:
(a) apply a transform to the signals to obtain at least two coefficients from the signals,
(b) align the coefficients corresponding with at least one abnormal pattern signal,
(c) combine the aligned coefficients,
(d) output an output signal or data corresponding to the aligned and combined coefficients to an output device, and
(e) identify a seizure of the patient based at least in part on comparing the aligned and combined coefficients corresponding to the at least one abnormal pattern signal to a threshold; and
the output device adapted to treat seizure through the at least two brain electrodes by administering an electrical treatment to the patient based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal to treat the seizure.
2. The system of claim 1 , wherein the output signal is output to the output device for treatment purposes in real time.
3. The system of claim 2 , wherein the patient module is adapted to be positioned external to a body of the patient.
4. The system of claim 3 , further comprising a harness adapted to incorporate at least two leads wherein the leads or the harness comprises shielding adapted to protect the patient module from electromagnetic interference and electrostatic discharge.
5. The system of claim 1 , wherein the processor and algorithm are further adapted to integrate the aligned and combined coefficients corresponding with the at least one abnormal pattern signal over time to create an index, the index is represented as a numerical value corresponding to the level of abnormal pattern signal, and where the index is compared against the threshold to determine whether seizure activity is occurring in the patient in real-time.
6. The system of claim 1 , wherein the patient module is adapted to transmit raw and/or analyzed data to a computer or a cellular phone for display, and/or to notify a care provider of a present or recent neurophysiological status of the patient.
7. The system of claim 1 , wherein the patient module is adapted to transmit raw and/or analyzed data to remote locations for data storage, analysis, and/or display, and/or to notify a remote operator of a present or recent neurophysiological status of the patient.
8. A system for detecting and treating seizures with electrical treatment comprising:
at least two electrodes adapted to detect brain wave activity and provide signals of the brain wave activity detected;
a patient module adapted for a patient comprising a processor configured with an algorithm,
(1) wherein the processor is adapted to receive the signals from the at least two electrodes, and
(2) wherein the algorithm, when executed by the processor, causes the processor to:
(a) apply a transform to the signals to obtain at least two coefficients from the signals,
(b) align the coefficients corresponding with at least one abnormal pattern signal,
(c) combine the aligned coefficients,
(d) output an output signal or data corresponding to the aligned and combined coefficients to an output device, and
(e) identify a seizure of the patient based at least in part on comparing the aligned and combined coefficients corresponding to the at least one abnormal pattern signal to a threshold; and
the output device adapted to treat seizure by administering an electrical treatment to the patient based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal to treat the seizure.
9. The system of claim 8 , wherein the output signal is output to the output device for treatment purposes in real time.
10. The system of claim 9 , wherein the patient module is adapted to be positioned external to a body of the patient.
11. The system of claim 10 , further comprising a harness adapted to incorporate at least two leads wherein the leads or the harness comprises shielding adapted to protect the patient module from electromagnetic interference and electrostatic discharge.
12. The system of claim 8 , wherein the patient module further comprises at least one electronic component adapted to perform a continuous impedance check on the at least two electrodes while continuing to detect brain wave activity with the at least two electrodes.
13. The system in claim 8 , wherein the patient module is adapted to transmit raw and/or analyzed data to a computer or a cellular phone for display, and/or to notify a care provider of a present or recent neurophysiological status of the patient.