The present method and system provides a neuromodulation therapy including receiving a plurality of input data relating to a patient, the input data including brain value measurements and body value measurements. The method and system includes analyzing the input data in reference to reference data generated based on machine learning operations associated with existing patient data and reference database data. Based thereon, the method and system includes electronically determining, a brain malady and a severity value for the patient and electronically generating a treatment protocol for the patient, the treatment protocol includes transcranial stimulation parameters. Therein, the method and system includes applying a transcranial stimulation using the transcranial stimulation parameters based on the treatment protocol.

The present method and system provides a neuromodulation therapy including receiving a plurality of input data relating to a patient, the input data including brain value measurements and body value measurements. The method and system includes analyzing the input data in reference to reference data generated based on machine learning operations associated with existing patient data and reference database data. Based thereon, the method and system includes electronically determining, a brain malady and a severity value for the patient and electronically generating a treatment protocol for the patient, the treatment protocol includes transcranial stimulation parameters. Therein, the method and system includes applying a transcranial stimulation using the transcranial stimulation parameters based on the treatment protocol.

The present disclosure pertains to manipulating electrical activity in the brain of a subject to facilitate wakefulness. The system comprises: a sensory stimulator; a sensor configured to generate output signals conveying information related to brain activity, activity of the central nervous system, and/or activity of the peripheral nervous system of the subject; and a processor configured to: receive a target wake-up moment for the subject; determine one or more activity parameters of the subject during the sleep session; determine whether the one or more activity parameters indicate the subject is in deep sleep a predetermined amount of time before the target wake-up moment; and, responsive to the one or more activity parameters indicating the subject is in deep sleep, cause the one or more sensory stimulators to guide the activity parameters and facilitate/accelerate a transition from deep sleep to light sleep before the target wake-up moment.

The present disclosure pertains to manipulating electrical activity in the brain of a subject to facilitate wakefulness. The system comprises: a sensory stimulator; a sensor configured to generate output signals conveying information related to brain activity, activity of the central nervous system, and/or activity of the peripheral nervous system of the subject; and a processor configured to: receive a target wake-up moment for the subject; determine one or more activity parameters of the subject during the sleep session; determine whether the one or more activity parameters indicate the subject is in deep sleep a predetermined amount of time before the target wake-up moment; and, responsive to the one or more activity parameters indicating the subject is in deep sleep, cause the one or more sensory stimulators to guide the activity parameters and facilitate/accelerate a transition from deep sleep to light sleep before the target wake-up moment.

A personal hygiene product with a digital element is described. In one embodiment, a conductive sensor assembly is disposed within the personal hygiene product that includes one or more moisture sensors that generate a resistive and/or capacitive signal indicative of saturation of the personal hygiene product when in wetting contact with menstrual fluid.

A personal hygiene product with a digital element is described. In one embodiment, a conductive sensor assembly is disposed within the personal hygiene product that includes one or more moisture sensors that generate a resistive and/or capacitive signal indicative of saturation of the personal hygiene product when in wetting contact with menstrual fluid.

The invention relates to a method for the real-time monitoring and evaluation of the state of a patient with a neurological condition from the indicative parameters of the state of the patient obtained by means of an EEG, comprising a step of measuring the EEG by means of at least one sensor, a step of processing the measured values, a step of extracting at least one set of values of the indicative parameters of the state of the patient, each set of values being extracted from time segments of the EEG, a step of calculating for each time segment the risk level of the patient suffering a crisis due to the neurological condition, the risk level being calculated by applying at least one mathematical classification model to each corresponding set of values, and a step of classifying the state of the patient between at least an alert or preictal state and a non-alert or non-preictal state, depending on a threshold level.

A system for monitoring neural activity of a living subject is provided. The system may comprise a correspondence module configured to be in communication with (1) a neural module and (2) one or more additional modules comprising a sensing module, another neural module, and/or a data storage module. The neural module(s) are configured to collect neural data indicative of perceptions experienced by the living subject. The sensing module may be configured to collect (1) sensor data indicative of real-world information about an environment around the living subject, and/or (2) sensor data indicative of a physical state or physiological state of the living subject. The data storage module may be configured to store prior neural data and/or prior sensor data. The correspondence module may be configured to measure a correspondence (a) between the neural data collected by the neural module(s) and the sensor data collected by the sensing module, (b) between the neural data collected by two or more neural modules, and/or (c) between the neural data collected by the neural module(s) and the prior data stored in data storage module. The measured correspondence can be used to determine a presence, absence, or extent of a potential cognitive or physiological disturbance of the living subject.

A novel medical device that utilizes, for diagnosis and other medical uses, the detection of emitted radiofrequency (RF) signals experimentally shown as spontaneously emitted by a non-equilibrium population of spin polarized electrons in chiral media during their relaxation to equilibrium. The emitted RF signals correspond to the Zeeman spin-flip energy of electrons under the influence of a magnetic field (MF), which in the absence of an external MF are too difficult to detect. Using a larger MF shifts the low energy, low frequency RF emission of spin polarized electrons to a higher RF power emission wave characterized by a fixed resonant frequency. The detection of these higher RF power emissions is relatively easy using conventional MF magnet sources and antenna receiver technology.

A novel medical device that utilizes, for diagnosis and other medical uses, the detection of emitted radiofrequency (RF) signals experimentally shown as spontaneously emitted by a non-equilibrium population of spin polarized electrons in chiral media during their relaxation to equilibrium. The emitted RF signals correspond to the Zeeman spin-flip energy of electrons under the influence of a magnetic field (MF), which in the absence of an external MF are too difficult to detect. Using a larger MF shifts the low energy, low frequency RF emission of spin polarized electrons to a higher RF power emission wave characterized by a fixed resonant frequency. The detection of these higher RF power emissions is relatively easy using conventional MF magnet sources and antenna receiver technology.