Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

The present application provides a method and an apparatus of actively sensing a neuronal firing frequency at a functional site in a brain, the method comprising: generating a varying electromagnetic field and acting a near field of the generated electromagnetic field on a targeted brain functional site; sensing the alteration of the electromagnetic field at the targeted brain functional site; and determining a variation frequency of the alteration of the electromagnetic field at the targeted brain functional site as the neuronal firing frequency at the targeted brain functional site.

The present application provides a method and an apparatus of modulating a neuronal firing frequency at a brain functional site in a brain, the method comprising: generating an electromagnetic field with its power in variation at the preset modulating frequency; and arranging the generated electromagnetic field near the brain such that the brain functional site is within the range of the near field of the electromagnetic field, to polarize extracellular fluid at the brain functional site with the power of the electromagnetic field, such that a polarization density of the extracellular fluid varies at the preset modulating frequency and neurons in the extracellular fluid are modulated to fire at the preset modulating frequency.

An exercise feedback system determines muscle stress measurements using physiological data generated by a sensor-equipped athletic garment. A muscle stress measurement represents an accumulated normalized signal from one or more of the sensors corresponding to a given muscle over a period of time. The exercise feedback system may customize exercise programs, determine risks of injury, or generate biofeedback for presentation on graphical user interfaces using the muscle stress measurements. In an embodiment, the exercise feedback system accesses pre-determined muscle stress measurement models that define criteria for the aforementioned features. For instance, responsive to determining that an athlete is becoming fatigued and exercising with improper form based on a muscle stress measurement, the exercise feedback system modifies the athlete's exercise program to help target and improve the athlete's weaknesses.

Devices and systems as described herein is configured to sense a signal, such as a signal from an individual. In some embodiments, a signal is a magnetic field. In some embodiments, a source of a signal is an individual's organ, such as a heart muscle. A device or system, in some embodiments, comprises one or more sensors, such as an array of sensors configured to sense the signal. A device or system, in some embodiments, comprises a shield or portion thereof to reduce noise and enhance signal collection.

Devices and systems as described herein is configured to sense a signal, such as a signal from an individual. In some embodiments, a signal is a magnetic field. In some embodiments, a source of a signal is an individual's organ, such as a heart muscle. A device or system, in some embodiments, comprises one or more sensors, such as an array of sensors configured to sense the signal. A device or system, in some embodiments, comprises a shield or portion thereof to reduce noise and enhance signal collection.

A system for detecting bioelectrical signals of a user comprising: a set of sensors configured to detect bioelectrical signals from the user, each sensor in the set of sensors configured to provide non-polarizable contact at the body of the user; an electronics subsystem comprising a power module configured to distribute power to the system and a signal processing module configured to receive signals from the set of sensors; a set of sensor interfaces coupling the set of sensors to the electronics subsystem and configured to facilitate noise isolation within the system; and a housing coupled to the electronics subsystem, wherein the housing facilitates coupling of the system to a head region of the user.

A therapeutic or diagnostic system comprises a non-invasive brain stimulation device (such as a TMS stimulation device) or other neuromodulation device configured to stimulate a patient's brain or nervous system by emitting electromagnetic pulses according to stimulation parameters, such as a pulse frequency or burst repetition frequency or other parameters, that provides surprising improvements in responsiveness and/or may require only a relatively short train of pulses to achieve high efficacy. In particular, stimulation pulses may be delivered at a frequency of between 12 and 40 Hertz with a 3 to 5 ratio as compared with burst repetition frequency, or at other specific patterns within that range. The stimulation parameters may be pre-stored and customized to individual patients, being identified through an automated search routine during which patient feedback is monitored. A user interface may be provided to allow an operator to conveniently select the appropriate parameters for the desired treatment.