A common tool for investigating electromyography (EMG) data is the Power Spectrum Density (PSD). Use AcqKnowledge for EMG Frequency & Power Analysis to compare responses from one part of the recording to the next and for data reduction of large EMG signals. This frequency domain technique splits the EMG signal into a fixed number of time periods and runs the Power Spectral Density transformation on each epoch.
The following measurements are exported to a spreadsheet:
Data can be recorded with resuable or disposable surface EMG electrodes or needle electrodes using wired, wireless, or MRI Smart amplifiers.
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This frequency domain technique splits the EMG signal into a fixed number of time periods and runs the Power Spectral Density transformation on each epoch. The following measures are derived from the power spectrum of the EMG signal and extracted for reporting:
*Units Note: V will be replaced with the voltage units in which the EMG was recorded.
BIOPAC Research Solutions | EMG
EMG - Frequency and Power Analysis
EMG - Locate Muscle Activation
Hardware Bundles are complete solutions for the specified application. Choose your preferred platform and bundle, then click "Request Pricing" to request an estimate, add/remove items, or complete purchase. If you have questions about specific items, click through to the product web page for details and specifications, or contact your Local Sales contact.
MP36R System
Wired | EMG Power Spectrum Analysis
MP36R with AcqKnowledge plus lead set, hand dynamometer, cloth electrodes & abrasive pad
MP160 System
Wired | EMG Power Spectrum Analysis
MP160 System with Active EMG electrodes and hand dynamometer
MP160 System
Wired | EMG Power Spectrum Analysis
MP160 System with EMG amplifier, disposable electrodes, and hand dynamometer
MP36R System
MP160 System
MP160 System
MP160 System
Wireless | EMG Power Spectrum Analysis
MP160 System with AcqKnowledge plus BioNomadix wireless pressure dynamometer with EMG, BioNomadix clench force transducer, disposable cloth electrode and 15cm electrode leads
BioNomadix Logger
Wireless | EMG Power Spectrum Analysis
BioNomadix Logger and one transmitter for wireless dynamometry & EMG, clench force transducer, 15 cm leads & disposable electrodes, plus Impedance Checker
Mobita
Wireless | EMG Power Spectrum Analysis
Mobita system for up to 32-CH Wireless Biopotentials plus AcqKnowledge
MP160 System
BioNomadix Logger
Mobita
MP160 System
MRI | EMG Power Spectrum Analysis
MP160 System with EMG MRI amplifier, disposable electrodes, and grip strength transducer
MP160 System
MP36R System
Animal | EMG Power Spectrum Analysis
MP36R with AcqKnowledge plus electrode lead adapter and three 12 mm TP unipolar needle electrodes
MP160 System
Animal | EMG Power Spectrum Analysis
MP160 with AcqKnowledge plus EMG amp with needle electrodes
MP36R System
MP160 System
This EDA webinar will cover recording techniques and strategies for optimizing electrodermal activity data quality. Emphasis will focus on signal quality for in-lab and remote recording applications, including techniques for capturing event triggers for event-related applications.
You will learn how to
– Record great EDA data
– Prepare data for analysis
– Identify and remove artifact from data
– Use AcqKnowledge automated routines
– Run Batch processing
Watch On Demand
Register NowResearchers 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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