An illustrative system includes a stimulation device configured to apply stimulation to a recipient, a sensing device configured to detect a physiological condition of the recipient, and a processing unit communicatively coupled to the stimulation device and the sensing device. The processing unit determines a stimulation strategy that is customized to the recipient and includes stimulation frames and stimulation gaps. The processing unit then directs the stimulation device to apply the stimulation to the recipient in accordance with the stimulation strategy by applying the stimulation only during time that corresponds to the stimulation frames. The processing unit also directs the sensing device to detect the physiological condition of the recipient in accordance with the stimulation strategy by detecting only during time that corresponds to the stimulation gaps. Based on the detected physiological condition, the processing unit performs an action. Corresponding systems, methods, and apparatuses are also disclosed.

Systems and methods for neurofeedback-triggered therapy for neurological conditions in accordance with embodiments of the invention are illustrated. One embodiment includes a neurofeedback-triggered therapy system, including a plurality of vibrotactile stimulators, a brain activity recorder, and a controller, including a processor, and a memory, the memory containing a neurofeedback application, where in order to condition a user to reduce the symptoms of a neurological condition on demand triggered by upregulating sensorimotor rhythm (SMR) activity, the neurofeedback application directs the processor to obtain brain activity data from the brain activity recorder, identify sensorimotor rhythm (SMR) spindles in the brain activity data, and provide vibrotactile Coordinated Reset (vCR) stimulation to a user using the plurality of vibrotactile stimulators when SMR spindles are identified, where the vCR stimulation reduces the symptoms of a neurological condition of the user.

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.

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.

Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram (“EEG”) monitoring unit configured to collect EEG data from the patient during at least a postictal phase or one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information by using an ultrasonic signal according to an embodiment of the present disclosure includes: an ultrasonic sensor configured to acquire an ultrasonic signal from an object; and a processor configured to detect peaks from the acquired ultrasonic signal, and to determine false detection of a peak, among the detected peaks, by using at least one of amplitudes of the detected peaks or a left waveform shape and a right waveform shape of the peak.

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information by using an ultrasonic signal according to an embodiment of the present disclosure includes: an ultrasonic sensor configured to acquire an ultrasonic signal from an object; and a processor configured to detect peaks from the acquired ultrasonic signal, and to determine false detection of a peak, among the detected peaks, by using at least one of amplitudes of the detected peaks or a left waveform shape and a right waveform shape of the peak.

A method and device allowing a physiological signal, typically representative of brain activity, to be transcribed in the form of sensory signals perceptible to a human user, typically acoustic signals is provided. For this purpose, a physiological signal is acquired and then analysed in such a way as to detect therein patterns that are then parameterised in the time domain. One or more parameters of these patterns are used to determine one or more parameters of the generated sensory signals and/or to determine one or more parameters of temporal envelopes used to modulate the sensory signals. This method and device can be applied, in particular, to neuro-acoustic transduction.

A method, computer system, and a computer program product for managing a plurality of electronic devices controlling access to one or more hazards in a physical environment. The present invention may include detecting a plurality of brain-wave patterns associated with a user. The present invention may then, in response to detecting motion of the user and the plurality of brain-wave patterns associated with the user matching a pattern, include operating at least one electronic device to disable access to a corresponding hazard. The present invention may further include operating the at least one electronic device to enable access to the corresponding hazard based on receiving input from the user to enable the at least one electronic device, wherein the input being received from the user is in response to prompting the user to correctly respond to a question previously answered by the user.

An information processing device includes a processor configured to query a user about an operation item to be executed by equipment in a case where biological information about the user satisfying a specific condition is acquired, but a single operation item of the equipment to associate with the acquired biological information is not specified, and associate an operation item designated by the user in response to the query with the acquired biological information.