Unified probabilistic framework for predicting and detecting seizure onsets in the brain and multitherapeutic device
View Patent ↗A method and system for assessing a quality of life index to adjust an implanted device to optimize patient-specific feature signals and treatment therapies. Accumulated energy of intracranial electroencephalogram (IEEG) signals is calculated over multiple data channels during seizures over a fixed time period. Accumulated energy of a treatment control is calculated over the multiple data channels over all times of activation of the implanted device over the fixed time period. The accumulated energy of both the IEEG signals and treatment control are weighted by seizure and treatment factors to determine a quality value for the fixed time period. A quality of life index is determined as a weighted average of current and previous quality values for a plurality of fixed time periods.
1. A method for assessing a quality of life index in an individual subject to seizures in order to adjust an implanted device to optimize patient-specific feature signals and treatment therapies, comprising the acts of:
calculating an accumulated energy of intracranial electroencephalogram (IEEG) signals for the individual over multiple data channels during seizures over a fixed time period;
calculating an accumulated energy of a treatment control over the multiple data channels over all times of activation of the implanted device over the fixed time period;
weighting the accumulated energy of the IEEG signals and the accumulated energy of the treatment control by seizure and treatment factors to determine a quality value for the fixed time period; and
determining the quality of life index as a weighted average of a current and previous quality values for a plurality of fixed time periods, wherein each of the above steps is executed on a programmed processor.
2. The method for assessing the quality of life index of claim 1 wherein the quality of life index is an exponentially-weighted moving average of a plurality of daily quality values which is based on a forgetting schedule to reduce the effect of older quality value data.
3. The method for assessing the quality of life index of claim 1 wherein the quality of life index is determined recursively using weights that are made to decay within four time constants of a natural exponential function.
4. A system for assessing a quality of life index in an individual subject to seizures in order to adjust an implanted device in order to optimize patient-specific feature signals and treatment therapies comprising:
a signal acquisition component to condition and digitize a plurality of raw signals received on multiple data channels from a transducer implanted in the individual;
a storage medium for storing (1) a calculated accumulated energy of intracranial electroencephalograms (IEEG) signals from the plurality of raw signals received on multiple data channels during seizures over a fixed time period, and (2) a calculated accumulated energy of a treatment control on the multiple data channels over all times of activation of the implanted device over a fixed time period;
a processor for executing a plurality of logic modules including:
a logic module for weighting the accumulated energy of the IEEG signals stored in the storage medium and the accumulated energy of the treatment control stored in the storage medium by seizure and treatment factors to determine a quality value for the fixed time period; and
a logic module for determining the quality of life index as a weighted average of a current and previous quality values for a plurality of fixed time periods.
5. The system for assessing the quality of life index of claim 4 wherein the logic module for determining the quality of life index uses an exponentially-weighted moving average of a plurality of daily quality values which is based on a forgetting schedule to reduce the effect of older quality value data.
6. The system for assessing the quality of life index of claim 4 wherein the quality of life index is determined recursively using weights that are made to decay within four time constants of a natural exponential function.
7. A non-transitory computer readable medium containing instructions for causing a computer system to assess a quality of life index in an individual subject to seizures in order to adjust an implanted device to optimize patient-specific feature signals and treatment therapies, the computer readable medium comprising:
program instructions that calculate an accumulated energy of intracranial electroencephalogram (IEEG) signals for the individual over multiple data channels during seizures over a fixed time period;
program instructions that calculate an accumulated energy of a treatment control over the multiple data channels over all times of activation of the implanted device over the fixed time period;
program instructions that weight the accumulated energy of the IEEG signals and the accumulated energy of the treatment control by seizure and treatment factors to determine a quality value for the fixed time period; and
program instructions that determine the quality of life index as a weighted average of a current and previous quality values for a plurality of fixed time periods.
8. The computer readable medium for causing a computer system to assess a quality of life index of claim 7 further comprising program instructions that determine the quality of life index as an exponentially-weighted moving average of a plurality of daily quality values which is based on a forgetting schedule to reduce the effect of older quality value data.
9. The computer readable medium for causing a computer system to assess a quality of life index of claim 7 wherein the program instructions that determine the quality of life index calculate the index recursively using weights that are made to decay within four time constants of an natural exponential function.