EEG control of devices using sensory evoked potentials
An EEG control of devices using Sensory Evoked Potentials (SEPs) (e.g., visually-evoked potentials), is disclosed. In some embodiments, a system receives a plurality of EEG signal samples; generates a stimulus locked average signal using the plurality of EEG signal samples; and determines whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus.
1. A system, comprising:
a processor configured to:
generate a stimulus-locked average signal of a plurality of EEG signal samples; and
determine whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events, wherein:
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events includes multiplying the stimulus-locked average by a prototype average that adapts to a user's EEG signals; or
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events includes integrating the EEG signal data to generate a result, and comparing the result to a threshold; or
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events is performed using a time domain classifier; and
a memory coupled to the processor and configured to provide the processor with instructions.
2. The system recited in claim 1 , wherein the pattern of stimulus events is provided by a plurality of light sources of the system, the light sources emitting light flashes periodically at a fixed frequency.
3. The system recited in claim 1 , wherein the pattern of stimulus events is provided by a plurality of light sources of the system, the light sources emitting light flashes periodically, including a first light source emitting light flashes a first fixed frequency and a second light source emitting light flashes at a second fixed frequency.
4. The system recited in claim 1 , wherein the pattern of stimulus events is provided by a light source of the system, the light source emitting light flashes periodically at a plurality of frequencies, including a first light flash at a first frequency and a second light flash at a second frequency.
5. The system recited in claim 1 , wherein the pattern of stimulus events is provided by a plurality of light sources of the system, the light sources emitting light flashes at non-periodic frequencies.
6. The system recited in claim 1 , wherein the pattern of stimulus events is provided by a plurality of light sources of the system, the pattern of stimulus events including one or more of the following: a pattern of visual stimulus events, a pattern of audio stimulus events, and a pattern of tactile stimulus events.
7. The system recited in claim 1 , wherein the pattern of stimulus events is provided by a plurality of light sources of the system, each light source providing independent flashing light events.
8. The system recited in claim 1 , wherein the generating of the stimulus-locked average signal includes generating the stimulus-locked average signal including a flash-locked average signal.
9. The system recited in claim 1 , wherein the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events is performed in real-time.
10. The system recited in claim 1 , wherein the processor is further configured to:
determine whether a user of the system is looking at a first light source.
11. The system recited in claim 1 , wherein the processor is further configured to:
correlate the plurality of EEG signal samples with the pattern of stimulus events using a time offset based on stimulus timing.
12. The system recited in claim 1 , further comprising:
a plurality of electrodes including an active EEG electrode and a reference EEG electrode, wherein the plurality of electrodes detect the plurality of EEG signal samples.
13. The system recited in claim 1 , wherein the processor is further configured to:
provide a control signal based on a determination of whether the plurality of EEG signal samples are evoked in response to the pattern of stimulus events.
14. The system recited in claim 1 , wherein the processor is further configured to:
provide a control signal to a device based on a determination of whether the plurality of EEG signal samples are evoked in response to the pattern of stimulus events, wherein the device includes one or more of the following: an entertainment system, an educational system, a medical system, an automobile system, and a computer executing an application.
15. A method, comprising:
measuring a plurality of EEG signal samples using a bio-signal sensor;
generating a stimulus-locked average signal using the plurality of EEG signal samples using a processor; and
determining whether the plurality of EEG signal samples are evoked in response to a stimulus using the processor, wherein:
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events includes multiplying the stimulus-locked average by a prototype average that adapts to a user's EEG signals; or
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events includes integrating the EEG signal data to generate a result, and comparing the result to a threshold; or
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events is performed using a time domain classifier.
16. A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
recording a plurality of EEG signal samples;
generating a stimulus-locked average signal using the plurality of EEG signal samples; and
determining whether the plurality of EEG signal samples are evoked in response to a stimulus, wherein:
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events includes multiplying the stimulus-locked average by a prototype average that adapts to a user's EEG signals; or
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events includes integrating the EEG signal data to generate a result, and comparing the result to a threshold; or
the determination of whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus events is performed using a time domain classifier.