System and method of prediction of response to neurological treatment using the electroencephalogram
First Claim
1. A system for predicting response to treatment of a neurological disorder comprising:
- at least two electrodes for acquiring electrophysiological signals from the body;
a processor for calculating from said electrophysiological signals at least one feature relating to the response to said treatment, said electrophysiological signals being acquired before the initiation of said treatment.
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Accused Products
Abstract
Disclosed is a system and method of assessing the efficacy of and predicting response to treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes to acquire EEG signals from the surface of a patient'"'"'s body, a processor for computing from the EEG signals various features and indices that are representative of the patient'"'"'s neurological or psychological state. Pretreatment indices represent a patient'"'"'s neurological or psychological state and therefore may be used to predict the response to treatment. Changes in these parameters may be used to assess the efficacy of treatment and to modify the treatment to optimize the resultant patient state.
203 Citations
36 Claims
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1. A system for predicting response to treatment of a neurological disorder comprising:
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at least two electrodes for acquiring electrophysiological signals from the body;
a processor for calculating from said electrophysiological signals at least one feature relating to the response to said treatment, said electrophysiological signals being acquired before the initiation of said treatment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for predicting response to treatment of a neurological disorder comprising:
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at least two electrodes for acquiring electrophysiological signals from a body;
data acquisition circuitry for acquiring from said electrodes a first electrophysiological signal representing a baseline condition and a second electrophysiological signal representing a subsequent condition, said first and second electrophysiological signals being acquired before the initiation of said treatment;
a processor for calculating from said electrophysiological signals received from the data acquisition circuitry;
(a) at least one feature relating to the patient state during the baseline condition;
(b) at least one feature relating to the patient state during the subsequent condition; and
(c) the difference between said features relating to the baseline and subsequent conditions, such that said difference relates to the response to said treatment.
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19. A method of predicting response to treatment of a neurological disorder comprising the steps of:
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acquiring electrophysiological signals from a body through electrodes placed on the body;
calculating from said electrophysiological signals at least one feature relating to the response to said treatment, said electrophysiological signals being acquired before the initiation of said treatment. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35)
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36. A method of predicting response to treatment of a neurological disorder comprising:
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positioning a least two electrodes on a body being treated;
acquiring a first electrophysiological signal from the body at a baseline condition;
acquiring a second electrophysiological signal from the body during a subsequent condition, said first and second electrophysiological signals being acquired before the initiation of said treatment;
calculating at least one feature relating to the patient state during the baseline condition;
calculating at least one feature relating to the patient state during the subsequent condition;
calculating at the difference between the features calculated during the baseline and subsequent conditions, such that the difference relates to the response to said treatment.
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Specification