AcqKnowledge includes digital filters that allow you to filter a raw EEG into the following frequency bands:
Gamma 36-90Hz (in some older versions the upper frequency is 44 Hz)
The filters may be selected and then modified for different frequency bands if desired.
From the MP menu, select “Set Up Channels…” (in version 4.4, choose “MP150 > Set Up Data Acquisition…” and select “Channels” in the pane on the left) and click the “Calc” radio button (version 3.9 or earlier) or “Calculation” tab. From the calculation channel presets menu, select the appropriate frequency band and click the “Setup…” button
From the Filter setup dialog, select the correct EEG “Source” channel, change the frequency range if desired, and click “OK”
When you start to record data you will see additional channels that contain band pass filtered versions of the raw EEG data.
Select the raw EEG channel
From the “Edit” menu, choose “Select All”
From the “Edit” menu, select “Duplicate Waveform” to create a new channel
From the “Transform menu”, select “Digital filters”, then “IIR”, and then ” Band Pass Low + High”
From the Band Pass dialog box, set the Low and High frequency cutoff values to match one of the frequency bands listed above, and click “OK”
Repeat the above steps for other frequency bands
AcqKnowledge version 3.9.1 and above for Macintosh and version 4.0 and above for Windows fully automate the offline procedure for creating these additional channels. Choose “Analysis > Electroencephalography > Derive EEG Frequency Bands” and follow the on-screen prompts.
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 […]
BIOPAC provides software and hardware that allows research teams to run autonomic function tests while collecting physiological data. Here are a few studies focusing on BIOPAC’s ability to record physiological signals during autonomic function testing. The Internet, Sleep, and Heart Rate Does internet usage lead to poorer sleep? Using a BIOPAC Data Acquisition System to measure cardiovascular […]
BIOPAC’s comprehensive 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 for extracting, […]