Abstract: A method and system provides for electrophysiological data analysis in a networked processing environment. The method and system includes receiving, via a networked connection, electrophysiological data of a patient and electronically performing, via at least one network processing device, a data analysis on the electrophysiological data. The method and system includes generating at least one report based on the data analysis, wherein the at least one report includes determination of one or more intervention options for the patient and therein transmitting the report to a recipient device across the network connection for utilization with the patient. The results of the report direct the user to apply from within the same system non-invasive brain stimulation, neurofeedback, and biofeedback modalities.

Abstract: A method and system provides for electrophysiological data analysis in a networked processing environment. The method and system includes receiving, via a networked connection, electrophysiological data of a patient and electronically performing, via at least one network processing device, a data analysis on the electrophysiological data. The method and system includes generating at least one report based on the data analysis, wherein the at least one report includes determination of one or more intervention options for the patient and therein transmitting the report to a recipient device across the network connection for utilization with the patient. The results of the report direct the user to apply from within the same system non-invasive brain stimulation, neurofeedback, and biofeedback modalities.

Abstract: A method and system provides for electrophysiological data analysis in a networked processing environment. The method and system includes receiving, via a networked connection, electrophysiological data of a patient and electronically performing, via at least one network processing device, a data analysis on the electrophysiological data. The method and system includes generating at least one report based on the data analysis, wherein the at least one report includes determination of one or more intervention options for the patient and therein transmitting the report to a recipient device across the network connection for utilization with the patient. The results of the report direct the user to apply from within the same system non-invasive brain stimulation, neurofeedback, and biofeedback modalities.

Abstract: A method and system provides for electrophysiological data analysis in a networked processing environment. The method and system includes receiving, via a networked connection, electrophysiological data of a patient and electronically performing, via at least one network processing device, a data analysis on the electrophysiological data. The method and system includes generating at least one report based on the data analysis, wherein the at least one report includes determination of one or more intervention options for the patient and therein transmitting the report to a recipient device across the network connection for utilization with the patient. The results of the report direct the user to apply from within the same system non-invasive brain stimulation, neurofeedback, and biofeedback modalities.

Abstract: A method and system provides for electrophysiological data analysis in a networked processing environment. The method and system includes receiving, via a networked connection, electrophysiological data of a patient and electronically performing, via at least one network processing device, a data analysis on the electrophysiological data. The method and system includes generating at least one report based on the data analysis, wherein the at least one report includes determination of one or more intervention options for the patient and therein transmitting the report to a recipient device across the network connection for utilization with the patient. The results of the report direct the user to apply from within the same system non-invasive brain stimulation, neurofeedback, and biofeedback modalities.

Abstract: A method and system provides for electrophysiological data analysis in a networked processing environment. The method and system includes receiving, via a networked connection, electrophysiological data of a patient and electronically performing, via at least one network processing device, a data analysis on the electrophysiological data. The method and system includes generating at least one report based on the data analysis, wherein the at least one report includes determination of one or more intervention options for the patient and therein transmitting the report to a recipient device across the network connection for utilization with the patient. The results of the report direct the user to apply from within the same system non-invasive brain stimulation, neurofeedback, and biofeedback modalities.

Abstract: Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various non-invasive stimulation techniques are utilized to correct neural activity. Stimulation techniques include transcranial direct current stimulation, transcranial alternating current stimulation and transcranial random noise stimulation, low threshold transcranial magnetic stimulation and repetitive transcranial magnet stimulation. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.

Abstract: Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various non-invasive stimulation techniques are utilized to correct neural activity. Stimulation techniques include transcranial direct current stimulation, transcranial alternating current stimulation and transcranial random noise stimulation, low threshold transcranial magnetic stimulation and repetitive transcranial magnet stimulation. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.

Abstract: A method and system provides for electrophysiological data analysis in a networked processing environment. The method and system includes receiving, via a networked connection, electrophysiological data of a patient and electronically performing, via at least one network processing device, a data analysis on the electrophysiological data. The method and system includes generating at least one report based on the data analysis, wherein the at least one report includes determination of one or more intervention options for the patient and therein transmitting the report to a recipient device across the network connection for utilization with the patient. The results of the report direct the user to apply from within the same system non-invasive brain stimulation, neurofeedback, and biofeedback modalities.

Abstract: Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various non-invasive stimulation techniques are utilized to correct neural activity. Stimulation techniques include transcranial direct current stimulation, transcranial alternating current stimulation and transcranial random noise stimulation, low threshold transcranial magnetic stimulation and repetitive transcranial magnet stimulation. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.

Abstract: Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various tDCS or other electrical stimulations are utilized to correct neural activity. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.

Abstract: Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various tDCS or other electrical stimulations are utilized to correct neural activity. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.

Abstract: Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various tDCS or other electrical stimulations are utilized to correct neural activity. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.