Method and apparatus for detecting seizures
First Claim
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1. A method of detecting seizures with motor manifestations comprising:
- detecting electromyography signals for a time period, the time period comprising a reference period and a monitoring period;
using digital filtering to isolate from the electromyography signals spectral data for a plurality of frequency bands selected from the range of about 2 Hz to about 1000 Hz;
calculating a first principal component analysis value, the first principal component analysis value being determined from spectral data for the plurality of frequency bands from at least one part of the reference period;
calculating a second principal component analysis value, the second principal component analysis value being determined from spectral data for the plurality of frequency bands from at least one part of the monitoring period;
comparing the second principal component analysis value to the first principal component analysis value to obtain a comparison; and
determining whether to trigger an alarm condition using said comparison of the first principal component analysis value to the second principal component analysis value.
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Abstract
A method and apparatus for detecting seizures with motor manifestations including detecting EMG signals, isolating from the EMG signals spectral data for a plurality of frequency bands, and calculating a T-squared value there from. The T-squared values may be detected in real time, such as in a patient'"'"'s home environment, and the T-squared data may be compared to a threshold T-squared value to determine whether an alarm is sent.
14 Citations
9 Claims
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1. A method of detecting seizures with motor manifestations comprising:
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detecting electromyography signals for a time period, the time period comprising a reference period and a monitoring period; using digital filtering to isolate from the electromyography signals spectral data for a plurality of frequency bands selected from the range of about 2 Hz to about 1000 Hz; calculating a first principal component analysis value, the first principal component analysis value being determined from spectral data for the plurality of frequency bands from at least one part of the reference period; calculating a second principal component analysis value, the second principal component analysis value being determined from spectral data for the plurality of frequency bands from at least one part of the monitoring period; comparing the second principal component analysis value to the first principal component analysis value to obtain a comparison; and determining whether to trigger an alarm condition using said comparison of the first principal component analysis value to the second principal component analysis value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification