Improved detection of evoked potentials

    公开(公告)号:US20250000431A1

    公开(公告)日:2025-01-02

    申请号:US18708758

    申请日:2022-11-07

    Applicant: ORANGE

    Abstract: Method and apparatus for detecting an evoked potential in a physiological signal of a user, in response to the generation of a sensory stimulation signal played by a human machine interface intended for the user. The sensory stimulation signal is periodic and adjustable in frequency. For a given sensory stimulation signal, the frequency of the given signal is adjusted to a first frequency, and then a latency in the user's reaction between the moment the given signal is generated and the moment the evoked potential is detected when such detection occurs is measured. If the latency is lower than a threshold, information is stored according to which the first frequency is attributable to a sensory stimulation signal. Otherwise, the method is repeated with a second frequency in place of the first frequency, the second frequency being different from the first frequency.

    Method for detecting and localizing brain silences using EEG

    公开(公告)号:US12178588B2

    公开(公告)日:2024-12-31

    申请号:US18410446

    申请日:2024-01-11

    Abstract: A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data.

    Systems and methods of transient-based decoding of neural signals

    公开(公告)号:US12164688B2

    公开(公告)日:2024-12-10

    申请号:US17939893

    申请日:2022-09-07

    Abstract: Disclosed herein are methods and systems for transient-based decoding of neural signals. In one aspect, a device such as a brain-computer interface (BCI), includes at least one processor configured to receive a plurality of neural signals from a subject. The at least one processor can detect, from the plurality of neural signals, first neural activity unique to a first defined temporal window corresponding to an onset phase of an intended action of the subject. The at least one processor can detect, from the plurality of neural signals, second neural activity unique to a second defined temporal window, occurring after the first temporal window and corresponding to an offset phase of the intended action. The at least one processor can generate at least one output indicative of the intended action, responsive to detecting at least one of the first neural activity or the second neural activity.

    MEASUREMENT DEVICE AND MEASUREMENT METHOD

    公开(公告)号:US20240374215A1

    公开(公告)日:2024-11-14

    申请号:US18690186

    申请日:2022-03-09

    Abstract: A measurement device of the present disclosure includes: a sensor configured to generate a first biological signal that is based on first biological information; a processor configured to generate a second biological signal by performing a noise reduction process on the basis of the first biological signal; and a storage configured to store a processing result of the noise reduction process. The processor is configured to perform the noise reduction process using the processing result stored in the storage on the basis of the first biological signal.

    METHOD FOR DETECTING AND LOCALIZING BRAIN SILENCES USING EEG

    公开(公告)号:US20240252096A1

    公开(公告)日:2024-08-01

    申请号:US18410446

    申请日:2024-01-11

    CPC classification number: A61B5/372 A61B5/0042 A61B5/055 A61B5/7264

    Abstract: A novel method for using the widely-used electroencephalography (EEG) systems to detect and localize silences in the brain is disclosed. The method detects the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. This method can also be used for reduced activity localization, activity level mapping throughout the brain, as well as mapping activity levels in different frequency bands. By accounting for the contributions of different sources to the power of the recorded signals and using a hemispheric baseline approach and a convex spectral clustering framework, the method permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data.

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