System and method for prediction of adverse events during treatment of psychological and neurological disorders
First Claim
1. A method of predicting psychological and neurological adverse events from biopotential signals comprising the steps of:
- acquiring biopotential signals from a subject being evaluated, computing at least one parameter from said biopotential signals, deriving at least one biopotential feature from said at least one parameter, and predicting the adverse event through the use of said at least one biopotential feature.
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Accused Products
Abstract
The present invention is a system and method of deriving and computing features and indices that predict the likelihood of psychological and neurological adverse events such as suicidal thoughts and/or actions. The method of the present invention further predicts the likelihood of suicidal thoughts and/or actions prior to and or during treatment for psychological disease. To obtain such features and indices, power spectrum and time domain values are derived from biopotential signals acquired from the subject being tested. The system and method identify people who are likely to experience changing, especially worsening, symptoms of psychological and neurological adverse events such as suicidal thoughts or actions and who therefore may be at risk (e.g. suicide).
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Citations
20 Claims
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1. A method of predicting psychological and neurological adverse events from biopotential signals comprising the steps of:
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acquiring biopotential signals from a subject being evaluated, computing at least one parameter from said biopotential signals, deriving at least one biopotential feature from said at least one parameter, and predicting the adverse event through the use of said at least one biopotential feature. - View Dependent Claims (2, 3, 4, 5, 10, 15)
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6. A method of predicting adverse events psychological and neurological adverse events from biopotential signals comprising the steps of:
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acquiring biopotential signals from a subject being evaluated, computing at least one parameter from said biopotential signals, deriving a first biopotential feature and a second biopotential feature from said parameters, and creating an index for predicting the adverse event, said index being derived from a combination of said at least two biopotential features.
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7. A method of predicting adverse events psychological and neurological adverse events from biopotential signals comprising the steps of:
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acquiring biopotential signals from a subject being evaluated, computing at least one parameter from said biopotential signals, deriving from said parameters a first biopotential feature at a first time point and a second biopotential feature at a second time point, and creating an index for predicting the adverse event, said index being derived from a combination of said at least two biopotential features.
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8. A method of predicting psychological and neurological adverse events from biopotential signals, comprising the steps of:
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acquiring biopotential signals from a subject being evaluated, computing at least one parameter from said biopotential signals, measuring a first biopotential feature at a pre-treatment condition, measuring a second biopotential feature from said parameter after an initiation of treatment of the subject, creating an index by combining said first biopotential feature and said second biopotential feature, and predicting the adverse event through the use of said index. - View Dependent Claims (9)
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11. A system for predicting psychological and neurological adverse events from biopotential signals comprising:
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a data acquisition unit for acquiring biopotential signals from a subject being evaluated, a processor for computing at least one parameter from said biopotential signals and for deriving at least one biopotential feature from said at least one parameter, and analysis device for predicting the adverse event through the use of said at least one biopotential feature. - View Dependent Claims (12, 13, 14, 20)
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16. A system for predicting psychological and neurological adverse events from biopotential signals comprising:
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a data acquisition unit for acquiring biopotential signals from a subject being evaluated, a processor for computing at least one parameter from said biopotential signals, for deriving a first biopotential feature and a second biopotential feature from said parameters, and for creating an index for predicting the adverse event.
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17. A system for predicting psychological and neurological adverse events from biopotential signals comprising:
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a data acquisition unit for acquiring biopotential signals from a subject being evaluated, a processor for computing at least one parameter from said biopotential signals, for deriving from said parameters a first biopotential feature at a first time point and a second biopotential feature at a second time point, and for creating an index for predicting the adverse event, said index being derived from a combination of said at least two biopotential features, and for creating an index for predicting the adverse event, said index being derived from a combination of said first and second biopotential features.
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18. A system for predicting psychological and neurological adverse events from biopotential signals comprising:
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a data acquisition unit for acquiring biopotential signals from a subject being evaluated, a processor for computing at least one parameter from said biopotential signals, for measuring a first biopotential feature at a pre-treatment condition, for measuring a second biopotential feature from said parameter after an initiation of treatment of the subject, and for creating an index for predicting the adverse event through the use of said index by combining said first biopotential feature and said second biopotential feature. - View Dependent Claims (19)
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Specification