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AI Biotech/Diagnostics: Neurology

Search All Applications in AI Biotech/Diagnostics: Neurology


Patent US0200306494


Issued

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Classification


Much More than Average Length Specification


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USPTO Full Text Publication >

5 Independent Claims

  • Independent Claim 2. The system of claim 1, wherein the first and second sensors are configured to engage the forehead of the subject at a distance of less than or equal to 10 centimeters from each other

  • Independent Claim 3. The system of claim 1 wherein the first sensor comprises a mid-frontal (FPz) electrode, and the second sensor comprises a right ocular electrode (EOGR) or a left ocular electrode (EOGL).

  • Independent Claim 4. The system of claim 1, wherein either the first sensor or the second sensor is a reference electrode.

  • Independent Claim 5. The system of claim 1, wherein the one or more hardware processors are further configured by machine-readable instructions to: obtain historical sleep depth information for a population of users, the historical sleep depth information being related to brain activity of the population of users that indicates sleep depth over time during sleep sessions of the population of userscause a neural network to be trained based on the historical sleep depth information by providing the historical sleep depth information as input to the neural networkcause, based on the output signals from the first and second sensors, the trained neural network to predict future times during the sleep session at which the subject will be in a deep sleep stage, the trained neural network comprising an input layer, an output layer, and one or more intermediate layers between the input layer and the output layerdetermine, with respect to each of the future times, a predicted sleep stage generated by the output layer of the trained neural network, and sleep stage probability values generated by the one or more intermediate layers of the trained neural networkand responsive to the predicted sleep stage being N3, or the predicted sleep stage being N2 with a ratio of a probability of N3 sleep to a probability of N2 sleep being at least 0.5, cause the one or more sensory stimulators to provide the sensory stimulation to the subject at the future times and to modulate a timing and/or intensity of the sensory stimulation during the sleep session based on the one or more probability values generated by the one or more intermediate layers.

  • Independent Claim 9. A method for enhancing non-rapid eye movement (NREM) sleep by delivering sensory stimulation to a subject during a sleep session with an enhancement system, the system comprising first and second sensors, one or more sensory stimulators, and one or more hardware processors coupled to the first and second sensors and the one or more sensory stimulators, the method comprising: generating, with the first and second sensors, output signals conveying information related to brain activity of the subject during the sleep session, the first and second sensors configured to engage a forehead of the subjectdetecting, with the one or more hardware processors, NREM sleep in the subject during the sleep session based on the output signals from the first and second sensorsand controlling, with the one or more processors, the one or more sensory stimulators to provide the sensory stimulation to the subject during the NREM sleep to enhance the NREM sleep in the subject during the sleep session.