AcqKnowledge can be used to obtain the power spectrum of the EEG, with frequency representation in linear or logarithmic scaling. The power spectrum, which can be used to analyze a variety of physiological signals, indicates the power of frequency components in the source time domain waveform and is defined as the square of the linear spectrum magnitude
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MP36R System
Wired | EEG Spectral Analysis
MP36R with AcqKnowledge plus shielded lead set, 8 mm reusable snap electrodes and electrode gel
MP160 System
Wired | EEG Spectral Analysis
MP160 System with AcqKnowledge plus twelve EEG amps and an electrode cap
MP36R System
MP160 System
MP160 System
Wireless | EEG Spectral Analysis
MP160 System with AcqKnowledge plus BioNomadix wireless EEG amps and BioNomadix EEG cap system
BioNomadix Logger
Wireless | EEG Spectral Analysis
BioNomadix Logger and three transmitters for wireless EEG, EEG cap system, Touch proof electrode adapters & Impedance Checker
Mobita
Wireless | EEG Spectral Analysis
Mobita system for up to 32-CH Wireless Biopotentials plus AcqKnowledge
MP160 System
Wireless | EEG Spectral Analysis
MP160 System with wireless mouse EEG telemetry system
B-Alert X10
Wireless | EEG Spectral Analysis
X10 Wireless EEG (9 EEG channels + 1 ECG channel) & AcqKnowledge 4
MP160 System
BioNomadix Logger
Mobita
MP160 System
B-Alert X10
MP36R System
Animal | EEG Spectral Analysis
MP36R with AcqKnowledge plus 2 channel wireless EEG system for mice
MP160 System
Animal | EEG Spectral Analysis
MP160 System with wireless mouse EEG telemetry system
MP36R System
MP160 System
In this fNIRS training, you will see a typical analysis workflow for fNIRS data in experiments featuring both event-based and continuous stimulation. Learn about a powerful yet easy-to-use software package with both a graphical user interface and scripting capability (for automation).
What You Will Learn:
• Preparing data for analysis
• Signal conditioning, noise removal, and managing artifacts
• Best practices for visualizing recorded data
• Block analysis using event markers and/or time
• Further temporal and spatial processing of data, including cell-by-cell processing
• Automation of analysis procedures
• Performing common statistical comparisons (t-test, ANOVA)
• Spatial visualization
LIVE Webinar Aug 25th 8am PT/11am ET
Researchers utilize electrodermal activity (EDA) data in a wide array of protocols. These recent studies join thousands of BIOPAC citations for EDA and represent just a few of BIOPAC’s hardware options for wired, wireless, logged, or MRI protocols with reusable or disposable EDA accessories and AcqKnowledge software solutions for Automated EDA Analysis Routines and EDA Measurement Tools. Caffeine Delivery […]
BIOPAC’s comprehensive EDA Guide provides an introduction to Electrodermal Activity (EDA or GSR) and details topics including: EDA Complex: SCL, SCR, tonic, phasic, specific SCR, non-specific SCR Participant Prep & Electrode Placement Data Recording tips Automated EDA Analysis Routines Digital input to Stim Events Stim-Response Analysis Derive Phasic EDA from Tonic Event-related EDA Analysis Locate […]
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