A biological information measurement system includes: a measurement unit configured to measure brain neural activity, based on biological signal detected by a plurality of sensors arranged in a cover member configured to cover a head of a subject; N image capturing units configured to each acquire an image including at least three reference points on the subject and the cover member; and a positional relationship determination unit configure to determine a positional relationship among a plurality of reference points on the subject and the plurality of sensors, based on positional relationship data among the plurality of reference points and the cover member, obtained based on N pieces of image data obtained from the image capturing units. An angle between image capturing directions of two image capturing units among the N image capturing units is larger than zero degree and smaller than 90 degrees.

Information is communicated to an individual by directing an acoustic signal transcranially to a target region in the brain. The target region is stimulated to produce a cognitive effect, and the cognitive effect is modulated or encoded to carry the desired information.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

A system including a medical device is provided. The medical device includes at least one sensor configured to acquire first data descriptive of a patient, first memory storing a plurality of templates, and at least one processor coupled to the at least one sensor and the first memory. The at least one processor is configured to identify a first template of the plurality of templates that is similar to the first data, to determine first difference data based on the first template and the first data, and to store the first difference data in association with the first template. The system may further include the programmable device.

A system including a medical device is provided. The medical device includes at least one sensor configured to acquire first data descriptive of a patient, first memory storing a plurality of templates, and at least one processor coupled to the at least one sensor and the first memory. The at least one processor is configured to identify a first template of the plurality of templates that is similar to the first data, to determine first difference data based on the first template and the first data, and to store the first difference data in association with the first template. The system may further include the programmable device.

A real-time multi-channel EEG signal processor based on an on-line recursive independent component analysis is provided. A whitening unit generates covariance matrix by computing covariance according to a received sampling signal. A covariance matrix generates a whitening matrix by a computation of an inverse square root matrix calculation unit. An ORICA calculation unit computes the sampling signal and the whitening matrix to obtain a post-whitening sampling signal. The post-whitening sampling signal and an unmixing matrix implement an independent component analysis computation to obtain an independent component data. An ORICA training unit implements training of the unmixing matrix according to the independent component data to generate a new unmixing matrix. The ORICA calculation unit may use the new unmixing matrix to implement an independent component analysis computation. Hardware complexity and power consumption can be reduced by sharing registers and arithmetic calculation units.

A method for monitoring physiological signals of a subject from sounds produced by the subject, including: receiving recorded sounds, including sounds from the subject's chest and being transmitted by the subject's biological tissues to the subject's ears, the recorded sounds being recorded by sound recording element(s) positioned inside earcup(s) of headphones worn by the subject; receiving signals from an accelerometer and a gyroscope being recorded simultaneously with the recorded sounds; detecting heart beats from the cardiac peaks sounds and calculating inter-beat intervals from the heart beats; extracting a first estimation of the breathing signal from the inter-beat intervals presenting respiratory sinus arrhythmia; extracting a second estimation of the breathing signal from residual sounds; extracting a third estimation of the breathing signal and motion artifacts from the signals of the accelerometer and the gyroscope; calculating the breathing signal by combining the first, second and third estimations of the breathing signal.

A method for monitoring physiological signals of a subject from sounds produced by the subject, including: receiving recorded sounds, including sounds from the subject's chest and being transmitted by the subject's biological tissues to the subject's ears, the recorded sounds being recorded by sound recording element(s) positioned inside earcup(s) of headphones worn by the subject; receiving signals from an accelerometer and a gyroscope being recorded simultaneously with the recorded sounds; detecting heart beats from the cardiac peaks sounds and calculating inter-beat intervals from the heart beats; extracting a first estimation of the breathing signal from the inter-beat intervals presenting respiratory sinus arrhythmia; extracting a second estimation of the breathing signal from residual sounds; extracting a third estimation of the breathing signal and motion artifacts from the signals of the accelerometer and the gyroscope; calculating the breathing signal by combining the first, second and third estimations of the breathing signal.

The present invention disclosed a device and method for assessing in real time the hypnotic and analgesic effect in a subject during wakefulness, sedation and general anaesthesia via drug interactions and physiological signals. In a preferred embodiment of the present invention, the analgesic and hypnotic effect of drug(s) infused in a subject could be accurately assessed in real time through the device and method disclosed in the present invention, comprising steps of receiving data from electroencephalography (EEG) device, receiving data from brain impedance tomography device, obtaining pharmacodynamic and pharmacokinetic parameters of drug(s) infused in the subject, defining initial indices of consciousness and nociception as a function of said EEG and brain impedance tomography data, and generating output of final indices of consciousness and nociception in real time from processing input of EEG, brain tomography and drug interaction data using established mathematical manipulation.

The present invention disclosed a device and method for assessing in real time the hypnotic and analgesic effect in a subject during wakefulness, sedation and general anaesthesia via drug interactions and physiological signals. In a preferred embodiment of the present invention, the analgesic and hypnotic effect of drug(s) infused in a subject could be accurately assessed in real time through the device and method disclosed in the present invention, comprising steps of receiving data from electroencephalography (EEG) device, receiving data from brain impedance tomography device, obtaining pharmacodynamic and pharmacokinetic parameters of drug(s) infused in the subject, defining initial indices of consciousness and nociception as a function of said EEG and brain impedance tomography data, and generating output of final indices of consciousness and nociception in real time from processing input of EEG, brain tomography and drug interaction data using established mathematical manipulation.