Analysis of the EMG signal in the frequency domain involves measurements and parameters which describe specific aspects of the frequency spectrum of the signal. Parameters of the power density spectrum may be easily used to provide useful measures of the EMG frequency spectrum.
This Application Note will explain how to extract several measures derived from the power spectrum of an EMG signal. The measures to be extracted are: Median Frequency, Mean Frequency, Peak Frequency, Mean Power, Total Power. If the EMG spectrum has a normal distribution, the Median and Mean frequencies will be identical; any deviation from normality will result in differing values for the Median and Mean frequencies.
AcqKnowledge is used to calculate these parameters after the EMG data has been collected. Methodology varies based on the version of AcqKnowledge that is used.
Automated Scoring—Starting with AcqKnowledge 4.0 for Windows or 3.9.2 for Mac the software can extract the measurements in an automated fashion.
Case A: Extracting measurements from a single contraction
Case B: Extracting measurements from multiple contractions
Manual Scoring is required when older versions of AcqKnowledge are used.
Basic principles of physiological data collection covers fundamentals of data collection and equipment configuration equipment to help you refine experiment protocols and avoid costly missteps. Frazer Findlay, CEO of BIOPAC, discusses common mistakes with physiology recording and shares his secrets for collecting great data. Topics include: How to prep a subject and where to place electrodes; Which type of electrodes work for different body signals; Analog to Digital Conversion; Sample rates (correct vs. incorrect); Filtering; and Scaling and calibration.Watch On Demand Now!
Recent psychophysiological studies feature BIOPAC’s MP Research series of Data Recorders and AcqKnowledge software. Creating Adaptive Assistants for helicopter crews based on Real-time Physiological Data In the Mercedes S-Class, biometric tools track a driver’s eyes, heart rate, and other physiological data, with one goal in mind: Making sure drivers are alert and safe on the […]
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 […]