Neural signals of a subject intending certain postures can be decoded and a controllable device can be commanded to perform certain actions based on the decoded intended postures with a system, and method of use thereof, including a brain machine interface (BMI) device. The system also includes electrodes in communication with the subject's nervous system to record the neural signals and the controllable device, both in communication with the BMI device. The BMI device can store instructions and previously calibrated neural activity patterns for the certain postures and a processor for receiving the neural signals, pre-processing the neural signals, decoding the neural signals into neural activity patterns, and matching the neural activity patterns to the previously calibrated neural activity patterns. If a match is determined, then the BMI device can send a command, previously linked to the intended posture, to the controllable device to perform the action.

Neural signals of a subject intending certain postures can be decoded and a controllable device can be commanded to perform certain actions based on the decoded intended postures with a system, and method of use thereof, including a brain machine interface (BMI) device. The system also includes electrodes in communication with the subject's nervous system to record the neural signals and the controllable device, both in communication with the BMI device. The BMI device can store instructions and previously calibrated neural activity patterns for the certain postures and a processor for receiving the neural signals, pre-processing the neural signals, decoding the neural signals into neural activity patterns, and matching the neural activity patterns to the previously calibrated neural activity patterns. If a match is determined, then the BMI device can send a command, previously linked to the intended posture, to the controllable device to perform the action.

A method and system for operating a neural feedback system is disclosed. The method includes recording brain waves of a user, recording sensor data measuring at least one of a physical state or an activity of the user, and generating recorded context-based brain wave information by detecting correlations between the recorded brain waves and the recorded sensor data. The method further includes identifying recorded context-based brain wave patterns in the recorded context-based brain wave information and associating at least one rule of at least one electronic device with at least one recorded context-based brain wave pattern.

A method and system for operating a neural feedback system is disclosed. The method includes recording brain waves of a user, recording sensor data measuring at least one of a physical state or an activity of the user, and generating recorded context-based brain wave information by detecting correlations between the recorded brain waves and the recorded sensor data. The method further includes identifying recorded context-based brain wave patterns in the recorded context-based brain wave information and associating at least one rule of at least one electronic device with at least one recorded context-based brain wave pattern.

The invention presented personalized biofeedback computerized system, an End-to-End eHealth smart platform for analysis, diagnosis and therapy of types of behavioral disorders. The system comprises a Captive Portal (CP) data input for initial input data and for continuous input data, a database comprising data, a Computer Processing Manager (CPM) for processing the patient data and the database, a Graphical User Interface (GUI) for interfacing with a user, and an Electroencephalography (EEG) or hemoencephalography (HEG) cap for stimulating predetermined areas in the brain, wherein the CPM is interconnected to the CPP, the database and the GUI, the CPM provides instructions for cranial electrode mediated stimulation to the areas in the brain according to a predetermined patient data dependent protocol, and the database provides external data. A preferred embodiment of the invention is a multilayered bio-feedbacking system.

The invention presented personalized biofeedback computerized system, an End-to-End eHealth smart platform for analysis, diagnosis and therapy of types of behavioral disorders. The system comprises a Captive Portal (CP) data input for initial input data and for continuous input data, a database comprising data, a Computer Processing Manager (CPM) for processing the patient data and the database, a Graphical User Interface (GUI) for interfacing with a user, and an Electroencephalography (EEG) or hemoencephalography (HEG) cap for stimulating predetermined areas in the brain, wherein the CPM is interconnected to the CPP, the database and the GUI, the CPM provides instructions for cranial electrode mediated stimulation to the areas in the brain according to a predetermined patient data dependent protocol, and the database provides external data. A preferred embodiment of the invention is a multilayered bio-feedbacking system.

A portable monitoring device comprises a hearing aid having a housing, a microphone (24), an acoustic signal processing means (43), and an acoustic output transducer (33). The portable monitoring device further comprises an EEG monitoring system arranged at least partly in said housing, and comprising a measuring unit (3) having electrodes (12) arranged external to the housing. The EEG monitoring system comprises a processing unit (42) for analyzing the EEG signal for identifying or predicting specific biological incidences, such as a seizure, in said person, decision means for deciding, based on said analyzed EEG signal, when an alarm or information must be provided to said person, and means for providing said alarm or information through said output transducer (33). The invention further provides a method of monitoring an EEG signal of a hearing impaired person.

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.

It is disclosed an apparatus for restoring voluntary control of locomotion in a subject suffering from a neuromotor impairment comprising a multidirectional trunk support system and a device for epidural electrical stimulation. The robotic interface is capable of evaluating, enabling and training motor pattern generation and balance across a variety of natural walking behaviors in subjects with neuromotor impairments. Optionally, pharmacological cocktails can be administered to enhance rehabilitation results. It is also disclosed a method for the evaluation, enablement and training of a subject suffering from neuromotor impairments by combining robotically assisted evaluation tools with sophisticated neurobiomechanical and statistical analyses. A method for the rehabilitation (by this term also comprising restoring voluntary control of locomotion) of a subject suffering from a neuromotor impairment in particular partial or total paralysis of limbs, is also disclosed.