DETECTION OF EPILEPTIFORM ACTIVITY
First Claim
1. A method for detecting epileptiform activity, the method comprising:
- obtaining brain wave signal data from a subject;
decomposing the brain wave signal data into at least one predetermined subband, to obtain subband-specific output data representing a time series of a quantitative characteristic of the brain wave signal data, wherein each subband is indicative of a specific type of epileptiform activity;
determining at least one measure for at least one of the at least one predetermined subband, the at least one measure belonging to a measure set comprising a first measure indicative of the entropy of the subband-specific output data and a second measure indicative of a normalized form of k;
th order central moment of the subband-specific output data, where k is an integer higher than three; and
indicating, based on the at least one measure of the respective subband, whether a specific type of epileptiform activity is present in the brain wave signal data.
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Abstract
The invention relates to detection of epileptiform activity. In order to accomplish a mechanism with improved specificity to epileptiform activity and with the capability to detect specific type of epileptic patterns, brain wave signal data obtained from a subject is decomposed into at least one predetermined subband, each subband being indicative of a specific type of epileptiform activity. The subband-specific output data obtained represents a time series of a quantitative characteristic of the brain wave signal data. At least one measure is determined for any one or more of the at least one predetermined subband, the at least one measure belonging to a measure set comprising a first measure indicative of the entropy of the subband-specific output data and a second measure indicative of a normalized form of k:th order central moment of the subband-specific output data, where k is an integer higher than three. The presence of a specific type of epileptiform activity may be detected based on the at least one measure of the respective subband.
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Citations
26 Claims
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1. A method for detecting epileptiform activity, the method comprising:
obtaining brain wave signal data from a subject; decomposing the brain wave signal data into at least one predetermined subband, to obtain subband-specific output data representing a time series of a quantitative characteristic of the brain wave signal data, wherein each subband is indicative of a specific type of epileptiform activity; determining at least one measure for at least one of the at least one predetermined subband, the at least one measure belonging to a measure set comprising a first measure indicative of the entropy of the subband-specific output data and a second measure indicative of a normalized form of k;
th order central moment of the subband-specific output data, where k is an integer higher than three; andindicating, based on the at least one measure of the respective subband, whether a specific type of epileptiform activity is present in the brain wave signal data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An apparatus for detecting epileptiform activity, the apparatus comprising:
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measurement means for obtaining brain wave signal data from a subject; signal processing means for decomposing the brain wave signal data into at least one predetermined subband, each subband being indicative of a specific type of epileptiform activity and the signal processing means being configured to provide subband-specific output data representing a time series of a quantitative characteristic of the brain wave signal data; calculation means for determining at least one measure for at least one of the at least one predetermined subband, the at least one measure belonging to a measure set comprising a first measure indicative of the entropy of the subband-specific output data and a second measure indicative of a normalized form of k;
th order central moment of the subband-specific output data, where k is an integer higher than three; andindicator means for indicating, based on the at least one measure of the respective subband, whether a specific type of epileptiform activity is present in the brain wave signal data. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. An apparatus for detecting epileptiform activity, the apparatus comprising:
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a measurement module configured to obtain brain wave signal data from a subject; a signal processing module configured to decompose the brain wave signal data into at least one predetermined subband, each subband being indicative of a specific type of epileptiform activity and the signal processing module being configured to provide subband-specific output data representing a time series of a quantitative characteristic of the brain wave signal data; a calculation module configured to determine at least one measure for at least one of the at least one predetermined subband, the at least one measure belonging to a measure set comprising a first measure indicative of the entropy of the subband-specific output data and a second measure indicative of a normalized form of k;
th order central moment of the subband-specific output data, where k is an integer higher than three; anda indicator module configured to indicate, based on the at least one measure of the respective subband, whether a specific type of epileptiform activity is present in the brain wave signal data. - View Dependent Claims (24, 25)
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26. A computer program comprising computer program code means adapted to perform the steps of:
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decomposing brain wave signal data obtained from a subject into at least one predetermined subband, each subband being indicative of a specific type of epileptiform activity, to obtain sub-band specific output data representing a time series of a quantitative characteristic of the brain wave signal data; determining at least one measure for at least one of the at least one predetermined subband, the at least one measure belonging to a measure set comprising a first measure indicative of the entropy of the subband-specific output data and a second measure indicative of a normalized form of k;
th order central moment of the subband-specific output data, where k is an integer higher than three; andindicating, based on the at least one measure of the respective subband, whether a specific type of epileptiform activity is present in the brain wave signal data.
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Specification