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).
The Dual Wireless Respiration and ECG BioNomadix module pair consists of a matched transmitter and receiver pair optimized for respiration and electrocardiogram data; record one or both signals. RSP (CH A)–measure abdominal or thoracic expansion and contraction while breathing ECG (CH B)–record electrical activity generated by the heart The high signal to noise ratio and […]
View AllBIOPAC provides researchers with a complete range of tools to gather data on heart rate variability (HRV). The following studies demonstrate just some of the ways in which HRV research benefits from the implementation of BIOPAC hardware and software solutions. PTSD and HRV Post-traumatic stress disorder (PTSD) has been associated with dysfunction of the autonomic […]
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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