Method and apparatus for detecting seizures
First Claim
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1. A method of detecting seizures comprising:
- detecting EMG signals for a time period, the time period comprising a reference period and a monitoring period;
using digital filtering to isolate from the EMG signals spectral data for a plurality of frequencies bands selected from the range of about 2 Hz to about 1000 Hz;
calculating a first T-squared value, the first T-squared value being determined from spectral data for the plurality of frequency ranges, from at least one part of the reference period;
calculating a second T-squared value, the second T-squared value being determined from spectral data for the plurality of frequency ranges, from at least one part of the monitoring period;
comparing the second T-squared value to the first T-squared value; and
determining whether to trigger an alarm condition using said comparison of the first T-squared value to the second T-squared 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.
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Citations
36 Claims
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1. A method of detecting seizures comprising:
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detecting EMG signals for a time period, the time period comprising a reference period and a monitoring period; using digital filtering to isolate from the EMG signals spectral data for a plurality of frequencies bands selected from the range of about 2 Hz to about 1000 Hz; calculating a first T-squared value, the first T-squared value being determined from spectral data for the plurality of frequency ranges, from at least one part of the reference period; calculating a second T-squared value, the second T-squared value being determined from spectral data for the plurality of frequency ranges, from at least one part of the monitoring period; comparing the second T-squared value to the first T-squared value; and determining whether to trigger an alarm condition using said comparison of the first T-squared value to the second T-squared value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of detecting seizures with motor manifestations comprising:
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detecting EMG signals; using digital filtering to isolate from said EMG signals spectral data for a plurality of frequency bands selected from the range of about 2 Hz to about 1000 Hz; calculating a first T-squared value from the spectral data; comparing said first T-squared value to a threshold T-squared value; and determining whether to trigger an alarm condition using said comparison of the first T-squared value to the threshold T-squared value. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 31)
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29. A method of detecting seizures comprising:
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monitoring an individual by collecting EMG data during a first reference period; determining a first reference T-squared value from EMG data obtained during said first reference period; determining a T-squared value while the patient is executing said maximum voluntary contraction; calculating a difference between said first reference T-squared value and said T-squared value determined while the patient is executing said maximum voluntary contraction; monitoring an individual by collecting EMG data during a second reference period; wherein the second reference period is executed in the home environment of the individual; determining a second reference I-squared value during said second reference period; setting a threshold T-squared value; wherein said threshold T-squared value is a value that is greater than the second reference T-squared value by a scaling factor related to said difference between said first reference I-squared value and said T-squared value determined while the patient is executing said maximum voluntary contraction; and monitoring the patient by collecting EMG data during a time period following said second reference period and in the home environment of the patient. - View Dependent Claims (30)
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32. An apparatus for detecting seizures, the apparatus comprising:
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one or more EMG electrodes capable of providing an EMG signal substantially representing seizure-related muscle activity; and a processor configured to receive the EMG signal, process the EMG signal to determine whether a seizure may be occurring, and generate an alert if a seizure is determined to be occurring based on the EMG signal; wherein the processor is capable of processing the EMG signal to determine whether a seizure may be occurring by calculating a T-squared statistical value. - View Dependent Claims (33, 34, 35, 36)
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Specification