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).
Workflow—A Great Tool for Every Researcher! Automate AcqKnowledge with New Workflow Tool New automation tool significantly saves time and improves consistency with standardized procedures Workflow’s drag-and-drop interface allows you to automate and repeat the signal-conditioning and processing steps your protocol requires in an easy-to-use process without programming or scripting knowledge. Batch process multiple files with confidence […]
View AllExercise physiology is the study of the body’s response to physical activity. Research in exercise physiology allows for insights in health and for a better understanding of the functions of the body at work. Here are some recent studies in exercise physiology that utilized BIOPAC tools for their research… Effect of exercise on electrocardiographic parameters […]
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, […]
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