A method of electroencephalography (EEG) based speech recognition includes obtaining, from a microphone, an audio signal of a speaker from a first time period, obtaining, from one or more EEG sensors, EEG signals of the speaker from the first time period, obtaining, from a first model, acoustic representations based on the EEG signals, concatenating the obtained acoustic representations with an audio input based on the audio signal to obtain concatenated features, providing the concatenated features to an automatic speech recognition model (ASR) and obtaining, from the ASR model, a text-based output.

A method of electroencephalography (EEG) based speech recognition includes obtaining, from a microphone, an audio signal of a speaker from a first time period, obtaining, from one or more EEG sensors, EEG signals of the speaker from the first time period, obtaining, from a first model, acoustic representations based on the EEG signals, concatenating the obtained acoustic representations with an audio input based on the audio signal to obtain concatenated features, providing the concatenated features to an automatic speech recognition model (ASR) and obtaining, from the ASR model, a text-based output.

The present invention generally relates to compositions comprising anesthesia-reversing agents which facilitate or increase the time of awakening or reverse the effects of general anesthesia-induced unconsciousness. In some embodiments, the anesthesia reversing agent can be selected from any or a combination of methylphenidate (MPH), amphetamine, modafinil, amantadine, caffeine, or analogues or derivatives thereof. In some embodiments, compositions comprising at least one or more anesthesia-reversing agents can be used to facilitate awakening from anesthesia without or decreasing occurrence of delirium, and can be used in methods to treat or prevent the symptoms associated with emergence delirium, as well as treat a subject oversedated with general an esthesia. The invention also relates to methods for administering these compositions comprising anesthesia-reversing agents to subjects and for use.

The present invention generally relates to compositions comprising anesthesia-reversing agents which facilitate or increase the time of awakening or reverse the effects of general anesthesia-induced unconsciousness. In some embodiments, the anesthesia reversing agent can be selected from any or a combination of methylphenidate (MPH), amphetamine, modafinil, amantadine, caffeine, or analogues or derivatives thereof. In some embodiments, compositions comprising at least one or more anesthesia-reversing agents can be used to facilitate awakening from anesthesia without or decreasing occurrence of delirium, and can be used in methods to treat or prevent the symptoms associated with emergence delirium, as well as treat a subject oversedated with general an esthesia. The invention also relates to methods for administering these compositions comprising anesthesia-reversing agents to subjects and for use.

A system and a process are provided for evaluating subliminal pixel patterns and identifying trigger patterns, which are pixel patterns that trigger a response in subjects exposed to the pattern. Each pixel pattern is embedded in a digital video or a digital still image. Pixel patterns that are found to induce reactions in subjects are identified as trigger patterns and are flagged for re-testing. Re-tested trigger patterns that repeatably induce reactions are identified as positive trigger patterns and are studied further. Variations are made to a positive trigger pattern to determine whether small changes can affect how a subject responds when exposed to that positive trigger pattern. A positive trigger pattern is evaluated to determine whether it can induce an emotional, a physical, and/or a behavioral change in the subjects and, if so, the positive trigger pattern is applied to a real-world situation.

A system and a process are provided for evaluating subliminal pixel patterns and identifying trigger patterns, which are pixel patterns that trigger a response in subjects exposed to the pattern. Each pixel pattern is embedded in a digital video or a digital still image. Pixel patterns that are found to induce reactions in subjects are identified as trigger patterns and are flagged for re-testing. Re-tested trigger patterns that repeatably induce reactions are identified as positive trigger patterns and are studied further. Variations are made to a positive trigger pattern to determine whether small changes can affect how a subject responds when exposed to that positive trigger pattern. A positive trigger pattern is evaluated to determine whether it can induce an emotional, a physical, and/or a behavioral change in the subjects and, if so, the positive trigger pattern is applied to a real-world situation.

Various embodiments of a hearing device and a method of forming such device are disclosed. The device includes a housing adapted to be worn on or behind an ear of a wearer and includes a housing body and a top plate connected to the housing body. The hearing device further includes a sensor disposed on at least one of a first side surface and a second side surface of the housing body. The sensor is adapted to be in contact with either a pinna or a skull of the wearer. The sensor is further adapted to detect a physiological characteristic of the wearer and generate a sensor signal based on the physiological characteristic.

Various embodiments of a hearing device and a method of forming such device are disclosed. The device includes a housing adapted to be worn on or behind an ear of a wearer and includes a housing body and a top plate connected to the housing body. The hearing device further includes a sensor disposed on at least one of a first side surface and a second side surface of the housing body. The sensor is adapted to be in contact with either a pinna or a skull of the wearer. The sensor is further adapted to detect a physiological characteristic of the wearer and generate a sensor signal based on the physiological characteristic.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.