Systems and methods for sonifying electrical signals obtained from a living subject, particularly EEG signals, are disclosed. A time-domain signal representing the activity of an organ is obtained. A voltage of the time-domain signal over a time block is determined. An acoustic signal based on the time-domain signal over the time block is produced. The acoustic signal comprises one or more audibly discernible variations representative of the activity of the organ. If the determined voltage is over a threshold voltage, the time-domain signal is squelched over at least a portion of the time-block as the acoustic signal is produced. The time-domain signal can be squelched by ramping down the signal as an input to produce the acoustic signal. The frequency spectrum of the acoustic signal can also be adjusted as it is produced, such as by flattening the signal and/or attenuating high frequencies along the frequency spectrum of the signal.

There is provided a wearable system for determining at least one movement property. The wearable system includes a head-mounted device including at least one movement sensor; a processor connected to the head-mounted device; and a display connected to the processor. The processor includes a medium having instructions stored thereon that when executed cause the processor to: obtain sensor data from the at least one movement sensor; determine at least one movement property based on the obtained sensor data; and display the at least one movement property on the display. There is also provided a method for displaying the at least one movement property.

Systems and methods of the present disclosure are directed to systems and methods for treating cognitive dysfunction in a subject in need thereof. The system can include a neural stimulation system that receives an indication of an ambient audio signal detected by a microphone. The system selects, from a profile, an audio signal including a fixed parameter and a variable parameter. The system sets the variable parameter to a first value. The system generates an output signal based on the fixed parameter and the first value, and provides the output signal to the speaker. The system measures a physiological condition of the subject, adjusts the variable parameter to a second value, generates a second output signal based on the fixed parameter and the second value of the variable parameter, and provides the output signal to the speaker to cause the speaker to provide modified sound to the subject.

A method and a system for assessing readiness of a user, the method including obtaining the user's movements; using the obtained user's movements to determine a nature of the period, wherein the nature of the period is selected from an activity period and a rest period; measuring at least one biosignal of the user during the rest period; determining a rest summary for the rest period, based on the measured at least one biosignal and at least one biosignal of a previous rest period; determining an activity summary for the activity period, based on the obtained movements of an activity period and obtained movements of at least one previous activity period; determining a body response summary based on the rest summary and the activity summary; and calculating a readiness score based on the body response summary and a previous body response summary, whereby the readiness score indicates a level of readiness of the user.

A system for inducing a Pavlovian association of a scent with a state of less-than-moderate pain, to thereby minimize perceived pain, and to reduce the need for narcotic analgesics. The system includes at least a physiological sensor configured to detect at least one physiological parameter of the user. The physiological parameter of the user may include heart rate variability, blood pressure, galvanic skin response, movement, facial expression and the like. After detection of the physiological parameter, an activation signal is then transmitted to an automatically activated scent diffuser, which diffuses a scent, as a function of the electronic activation signal. The scent may include one or more scent liquids, such as perfumes, essential oils, or the like. Activation of the scent diffuser is maintained by a control circuit that receives the detection signal from the at least one physiological sensor, ascertains that the user has transitioned to a state of less-than-moderate pain, and transmits a signal to the automatically activated scent diffuser. After an association, wherein association further includes conditioning, is created in the user, by iterative performance of the foregoing steps, the user can manually activate a second scent source, in order to trigger a conditioned reflex to assist the user in reducing pain levels.

An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.

Methods for determining the likelihood that a subject will be a placebo responder in a clinical study are provided. Also provided are methods for eliminating likely placebo responders from a clinical study a priori, thereby simplifying data analysis and minimizing or eliminating any confound that arises in the analysis as a result of placebo response. Databases and computer systems using the methods are also disclosed herein. Methods for assessing likelihood of a subject experiencing a response shift are also provided.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

Disclosed is an audio-headset for acquisition of a bio-signal from a subject, including a first earpiece; a second earpiece; an arch connecting the first earpiece and the second earpiece; the arch including a hub (4); wherein the arch, the first earpiece and the second earpiece are configured so that the earpieces are placed over a subject's ears when the audio headset is worn by the subject; and at least one posterior branch (1) having a first end extending from the hub and a second free end; the at least one posterior branch (1) including a concave surface with a radius of curvature, a collapsed state when the headset is not worn by the subject and an expanded state when the headset is worn by the subject.

A human-machine interaction method based on visual stimulations. The method can be applied to multiple new technical fields of display, which comprise but are not limited to the fields of virtual reality (VR), augmented reality (AR), mixed reality (MR), holographic projection and glasses-free 3D. The system consists of three parts: a human body biological collection apparatus, a software client for human-machine interaction and a display terminal. Input ports of the software client are connected to a human body physiological signal collection device (in a wired or wireless manner); a user wears the collection device, and communication ports of the client are respectively connected to communication ports of a display module by means of a multichannel communication module. Firstly, the system is initialized, and then starts to run based on a control method of visual stimulations (an object flicker or distortion). If a target is a text input target, an interface is switched to a text input interface, and texts are inputted by using a physiological signal detection algorithm for a human body. If the target is not a text input target, the type of information is determined by using a detection algorithm of a specific physiological signal and visual stimulation feedback information, so as to complete the interaction. Search and switching can be performed among text input boxes, selection options and multiple directories, and a bottom layer of the directories can be reached, so as to select a target.