The AcqKnowledge software will record EEG data, filter the data into the specific bandwidths for Alpha, Theta, Beta and Delta, and display the results on-line. Often, researchers also need to quantify the activity in each band.
This Application Note provides a useful technique for analyzing EEG signals and quantifying the activity in each band. This note will explain how to:
Integrate the alpha wave EEG data to get a better view of alpha wave activity.
Identify where the integrated data crosses certain threshold values.
Measure the amount of time that was spent in a heightened alpha state and count the number of times that the subject entered the state.
This note describes the procedure for working off-line with a saved data file, but you can also perform these functions online (as noted at each step).
The examples in this note use a raw EEG signal taken from a human subject and filtered to show the Alpha wave activity.
EEG: Electroencephalography - Wired and wireless EEG solutions. Record up to 32 channels of EEG and use software features for filtering, removing EOG artifacts, and complete frequency analysis.
ERS: Evoked Response - Record evoked, late, and field potentials, as well as startle and nerve conduction. Powerful on- and off-line averaging features (P300), and dual stimulation ability with the MP150.
Psychophysiology - Record and analyze BP, ECG, HRV, EDA, EMG, EEG, EOG, RSP, etc. Interface to stimulus presentation programs...use automated analysis routines to easily score and analyze data.
Sleep Studies - Long term recordings with up to 16 channels of data. Record EEG, EOG, EMG, respiration, temp., sound, limb position and more. Filter out EEG frequencies to score sleep stages.
Amplifiers & Interfaces - Use BIOPAC amplifiers with MP Systems, as stand-alone devices, or with 3rd-party flow meters, force plates, sono-micrometers, telemetry equipment, metabolic carts, etc.
Register Today! T4: Tools, Trends, Techniques, and Technology Monday, July 24, 2017 – Wednesday, July 26, 2017 Join BIOPAC for three days of hands-on, small-group human physiology workshops, presented by renowned experts, on the beautiful University of California at Santa Barbara campus in Santa Barbara, California, USA. Who should attend Anyone who records and analyzes […]
The Mobita 32-Channel EEG recording system was used in research examining if physiological data can be used to predict truly random events that correspond to perceptual stimuli. Baumgart, et al. from the University of California Santa Barbara utilized a quantum random number generator (qRNG) to choose from three randomized conditions: light, sound, and no stimulus. […]
BIOPAC provides software and hardware that allow for research teams to record and analyze respiration activity in physiological experimentation. Here are a few notable studies in monitoring respiration and cardiovascular activity. The coupling between peripheral microcirculation and slow breathing: The purpose of this study was to investigate the coupling of breathing movements and microcirculatory blood […]