Correlating brain signal to intentional and unintentional changes in brain state
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Publication Number
US-9820663-B2
Publication Date
2017-11-21
Expiration Date
Abstract
Methods of analysis to extract and assess brain data collected from subject animals, including humans, to detect intentional and unintentional brain activity and other unexpected signals are disclosed. These signals are correlated to higher cognitive brain functions or unintended, potentially adverse events, such as a stroke or seizure, and to translation of those signals into defined trigger events or tasks.
Core Innovation
The invention provides a system for detecting an intentional brain signal from a subject using a sensor for detecting data indicative of brain activity and a computer processor executing instructions stored in a computer memory module. The instructions obtain the data indicative of brain activity, analyze the data by computing a spectrogram, and normalize the spectrogram at least once by performing time over frequency normalization and frequency over time normalization. The analyzed data is correlated to an intentional higher cognitive function from the subject.
The spectrogram-based analysis is combined with spectrogram normalization including time-over-frequency and frequency-over-time normalization to support correlating brain activity to cognitive content. Dependent aspects refine the analyzing by including principal component analysis and/or independent component analysis, preferred frequency analysis, and temporal fragmentation analysis including spectral fragmentation analysis and frequency analysis. These refinements are used to further characterize the intentional higher cognitive function from the subject.
The invention additionally provides a system for detecting a brain signal from a subject correlated with at least one unintended event. As with intentional signal detection, the instructions obtain data indicative of brain activity, analyze the data by computing a spectrogram and normalizing the spectrogram at least once using time over frequency and frequency over time normalization, and correlate the analyzed data to at least one unintended event. Dependent aspects narrow the unintended event category to epileptic seizure, migraine, stroke, heart attack, infarction, and events characterized by fragmentation and surprise.
Claims Coverage
Two independent claims define the core coverage. Across both, the inventive workflow includes obtaining sensor data indicative of brain activity, computing a spectrogram, normalizing the spectrogram using time-over-frequency and frequency-over-time normalization, and correlating the analyzed data to an intended cognitive function or to an unintended event, respectively.
Spectrogram with time-over-frequency and frequency-over-time normalization correlated to intentional higher cognitive function
A system for detecting an intentional brain signal in which analyzing comprises computing a spectrogram of the obtained brain-activity data and normalizing the spectrogram at least once by performing time over frequency and frequency over time, followed by correlating the analyzed data to an intentional higher cognitive function from the subject.
Spectrogram with time-over-frequency and frequency-over-time normalization correlated to at least one unintended event
A system for detecting a brain signal correlated with at least one unintended event in which analyzing comprises computing a spectrogram of the obtained brain-activity data and normalizing the spectrogram at least once by performing time over frequency and frequency over time, followed by correlating the analyzed data to at least one unintended event.
The independent claims cover a shared spectrogram-based analysis framework using spectrogram normalization with time-over-frequency and frequency-over-time normalization, with correlation targets being either intentional higher cognitive function or at least one unintended event.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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