Abstract: A device for measuring and/or stimulating a brain activity, preferably an EEG device, including a transmitter and/or detector for transmitting and/or detecting physiological signals produced by the brain of an individual, and a support for the transmitter and/or detector, wherein the support is configured to extend over the top of the individual's head, the support removably attachable to an accessory intended to be worn by the individual, on his or her head, such as an audio headset, the support being configured such that, when the device is worn by the individual, the transmitter and/or detector are held in substantially close contact with the individual's head by the accessory.

Abstract: The invention relates to an ionic conductive polymeric composition defined by the following general formula: (PH)x+(SOH)y+z(MCl); in which: —PH represents a polymer containing protic functions; —SOH represents a plasticizing polyol with a molecular mass of not less than 75 g/mol and not greater than 250 g/mol, in the form of discrete molecules; —MCl represents sodium or potassium chloride (M=Na or K); —0.3?x/y?3, x representing the amount by weight of the polymer PH, and y the amount by weight of the polyol SOH; —0.5%?z?15%, z representing the percentage by weight of MCl relative to the polyol SOH. Said polymeric composition may be used particularly as conductive material in electrodes for measuring electrophysiological signals.

Abstract: The electrode for recording a physiological electrical signal of a living being made from electrically conductive material and including a body having a front surface and a rear surface for electrical contact, the electrode further including a rigid mounting element attached to the body, at an edge of the rear electrical contact surface and designed so as to produce a removable mounting of the electrode on a recording sensor.

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: A device for measuring and/or stimulating a brain activity, preferably an EEG device, comprising means for transmitting and/or detecting physiological signals produced by the brain of an individual, and a support for the transmission and/or detection means, wherein the support is configured to extend over the top of the individual's head, the support comprising means for removably attaching to an accessory intended to be worn by the individual, on his or her head, such as an audio headset, the support being configured such that, when the device is worn by the individual, the means for transmitting and/or detecting physiological signals are held in substantially close contact with the individual's head by the accessory.

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).