A method for scoring and reporting electroencephalogram (EEG) data for use in transcranial magnetic stimulation (TMS) therapy. The method may include removing artifacts from the EEG data and determining EEG metrics from the EEG data. The method may further include determining a Brain Synchrony Index from the EEG metrics by applying a predetermined transfer function to the EEG metrics, and reporting the Brain Synchrony Index graphically.

A device and a signal processing method that can monitor human memory performance by recognizing and characterizing high-gamma (65-250 Hz) and beta (14-30 Hz) band oscillations in the left Brodmann Area 40 (BA40) of the brain that correspond with the strength of memory encoding or correct recall. The signal processing method detects high-gamma and beta band oscillations in the electrical signals recorded from left BA40, and quantifies the spectral content, power, duration, onset, and offset of the oscillations. The oscillation's properties are used to classify the subject's memory performance on the basis of a comparison with the subject's prior human memory performance and the properties of the corresponding oscillations. A report of the subject's current memory performance can be utilized in a closed loop brain stimulation device that serves the purpose of enhancing human memory performance.

A device and a signal processing method that can monitor human memory performance by recognizing and characterizing high-gamma (65-250 Hz) and beta (14-30 Hz) band oscillations in the left Brodmann Area 40 (BA40) of the brain that correspond with the strength of memory encoding or correct recall. The signal processing method detects high-gamma and beta band oscillations in the electrical signals recorded from left BA40, and quantifies the spectral content, power, duration, onset, and offset of the oscillations. The oscillation's properties are used to classify the subject's memory performance on the basis of a comparison with the subject's prior human memory performance and the properties of the corresponding oscillations. A report of the subject's current memory performance can be utilized in a closed loop brain stimulation device that serves the purpose of enhancing human memory performance.

A head-mountable device including a housing, a display positioned in the housing, a processor positioned in the housing, and a retention band connected to the housing, the retention band comprising a sensor configured to monitor a brain activity of a user.

A head-mountable device including a housing, a display positioned in the housing, a processor positioned in the housing, and a retention band connected to the housing, the retention band comprising a sensor configured to monitor a brain activity of a user.

A mote includes an optical receiver that wirelessly receives a power and data signal in form of NIR light energy within a patient and converts the NIR light energy to an electrical signal having a supply voltage. A control module supplies the supply voltage to power devices of the mote. A clock generation circuit locks onto a target clock frequency based on the power and data signal and generates clock signals. A data recovery circuit sets parameters of one of the devices based on the power and data signal and a first clock signal. An amplifier amplifies a neuron signal detected via an electrode inserted in tissue of the patient. A chip identifier module, based on a second clock signal, generates a recorded data signal based on a mote chip identifier and the neuron signal. A driver transmits the recorded data signal via a LED or a RF transmitter.

A mote includes an optical receiver that wirelessly receives a power and data signal in form of NIR light energy within a patient and converts the NIR light energy to an electrical signal having a supply voltage. A control module supplies the supply voltage to power devices of the mote. A clock generation circuit locks onto a target clock frequency based on the power and data signal and generates clock signals. A data recovery circuit sets parameters of one of the devices based on the power and data signal and a first clock signal. An amplifier amplifies a neuron signal detected via an electrode inserted in tissue of the patient. A chip identifier module, based on a second clock signal, generates a recorded data signal based on a mote chip identifier and the neuron signal. A driver transmits the recorded data signal via a LED or a RF transmitter.

An electronic device to acquire and analyze electroencephalogram data of the subject includes a cognitive function examination control section that presents examination data used for a cognitive function examination of the subject at the time of executing an operation having a different purpose from that of an electroencephalogram measurement, and a cognitive function analysis section that extracts an index of a cognitive function of the subject from electroencephalogram data of the subject measured when presenting examination data.

An electronic device to acquire and analyze electroencephalogram data of the subject includes a cognitive function examination control section that presents examination data used for a cognitive function examination of the subject at the time of executing an operation having a different purpose from that of an electroencephalogram measurement, and a cognitive function analysis section that extracts an index of a cognitive function of the subject from electroencephalogram data of the subject measured when presenting examination data.

Disclosed and contemplated herein is a bispectral EEG (BSEEG) method which can detect patients with delirium and can detect delirium with systemic inflammation. In various implementations, a mouse model is used to detect delirium with systemic inflammation induced by lipopolysaccharide (LPS) injection.