BIOPAC® Systems, Inc. Logo

Automated EEG Analysis

filtered EEG data

AcqKnowledge includes a number of fully automated EEG analysis functions.

Compute Approximate Entropy

Approximate entropy is a statistical measure that attempts to quantify the predictability of a data sequence. A perfectly predictable data series (such as a pure sine wave) has an approximate entropy of zero. Several studies are beginning to examine approximate entropy of EEG data and its relationship to external factors such as drugs and sleep states.

Derive Alpha RMS  

The Derive Alpha RMS script constructs a standard alpha RMS waveform from an alpha EEG signal. Alpha RMS is the windowed root mean square value of the signal using a window width of 0.25 seconds.

See More...

Details

This is one of many ADVANCED FEATURES for the selected Application. Scroll down for hardware options.

Derive EEG Frequency Bands  

The software automaticaly filters the raw EEG signal for the appropriate band widths. The following bands are available: Alpha, Beta, Theta, Delta, and Gamma

EEGfrequecy bands

EEG Frequency Analysis

EEG, Frequency, Analysis, AcqKnowledge

The EEG Frequency Analysis script divides the EEG signals into fixed-width time epochs. For each individual time epoch, the Power Spectral Density function of AcqKnowledge is used to estimate the power spectrum of that epoch using a Welch periodogram estimation method. From this PSD the following measures are extracted for each epoch: Mean Power, Median Frequency, Mean Frequency, Spectral Edge, Peak Frequency.

Remove EOG Artifacts

Some EEG recordings involve subjects performing various visual tasks such as reading or watching video. Under these conditions, EEG may be susceptible to interference from the much stronger EOG signal arising from eye motion, particularly if EEG is recorded from positions oriented towards the front of the skull. The Remove EOG Artifacts script helps to remove EOG interference from the EEG signals, recovering the EEG data for use in further analysis.

Delta Power Analysis

Delta power is the total power of the EEG signal that occurs within the delta frequency band of 0.5 Hz to 4 Hz. Delta power has been examined in a number of various EEG studies as an indicator of sleep/wakefulness and other conditions. By examining changes in the delta power, it may be possible to correlate delta power with effects of external factors.

Videos

EEG - EOG Artifact Removal

EEG Frequency Analysis | AcqKnowledge Demonstration

EEG - Automated Filtering

BIOPAC Research Solutions | EEG

Integrating BIOPAC Research Systems | Data Acquisition & Analysis

Support

Application Notes

Knowledge Base

Hardware Packages   |   Automated EEG Analysis

Hardware Bundles are complete solutions for the specified application. Choose your preferred platform and bundle, then click "Request Pricing" to request an estimate, add/remove items, or complete purchase. If you have questions about specific items, click through to the product web page for details and specifications, or contact your Local Sales contact.

Wired

Wireless

MRI

Animal

Spotlight On
BIOPAC Facial EMG

FEMG Smart Amplifier

The fEMG Electromyography Smart Amplifier is designed specifically for recording facial EMG signals and electrical activity from other small muscle groups. Use with AcqKnowledge™ software to analyze facial expressions and startle paradigms. BIOPAC’s new Smart Amplifiers are designed for great data. Smart Amplifiers improve performance by amplifying the physiological signal close to the subject, which allows a high-level […]

View All
Latest News

New Citations | Do We Really Trust Autonomous Vehicles?

A System to Measure Physiological Response During Social Interaction in VR Children with Autism Spectrum Disorder (ASD) have a difficult experience in responding to social cues and actions. This pilot study measured the effectiveness of Virtual Reality in creating a social environment for children, measured with a BIOPAC MP Series data acquisition system and Worldviz […]

Electrocardiography Guide Now Available

BIOPAC’s just released Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines […]

Read All
Request a Demonstration
Request a Demonstration