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:
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).
Electrodermal Activity (EDA) is an objective index for understanding emotional states. Researchers measure EDA to gain insights on psychological or physiological response, leading them down the path of scientific discovery. Because EDA is so important to research, BIOPAC has created tools to optimize event-related EDA analysis. Topics include: how to identify skin conductance responses, convert stim events from E-Prime SuperLab, Presentation, Vizard, etc., into AcqKnowledge events that can used for analysis, and score skin conductance responses using the AcqKnowledge automated EDA analysis tool.
Register NowNIRS and CNAP—Pairing great tools for great data Cerebral hemoglobin concentration (blood mass in the brain) is frequently measured in the prefrontal cortex, and systemic arterial blood pressure is known to be a variable factor based on the hemoglobin concentration. A leg pressure cuff was used to constrict and release blood flow to create a […]
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 […]
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