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EMG: Electromyography

Advanced Electromyography Research Solutions

Wired, wireless, and MR options for human and animal research

Multiple options for recording surface, needle, and fine wire EMG

EMG data BIOPAC AcqKnowledge

EMG Solutions for Large and Small Muscle Data

AcqKnowledge® displays, records and analyzes EMG data from human and animal subjects from large and small muscle groups, including facial EMG for analyzing facial expressions and startle paradigms. The EMG signal can be recorded using surface EMG (sEMG), needle EMG, fine wire EMG, active electrodes, telemetry, and data logging techniques. Filtering options include both real-time and post acquisition filtering for optimal conditioning of the data. Automated analysis tools identify the root mean square, average rectified and integrated EMG signal to provide an estimation of force levels.

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WIRELESS WEARABLE EMG

Flexible telemetry and data logging solutions for a wide range of EMG applications – from single to thirty-two channel systems

Powerful AcqKnowledge Software

AcqKnowledge displays, records and analyzes EMG data from human and animal subjects from large and small muscle groups, including facial EMG for analyzing facial expressions and startle paradigms.

Median & Mean Frequency Analysis

Analyze EMG signals in the frequency domain for insight into the nature of the EMG data

Application Starter Hardware  

Hardware Packages   |   EMG: Electromyography

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.

Wired

Wireless

MRI

Animal

Details

Available BIOPAC® EMG solutions include:

All of the system options (MP150 and Mobita) include powerful AcqKnowledge® software.

AcqKnowledge® displays EMG data in a variety of formats for quick and easy viewing. On-line calculation channels allow you to configure channels and view integrated, RMS, or filtered EMG signals in real time. Use the scaling tools to normalize the EMG data to display the % maximum voluntary contraction (MVC). In addition, AcqKnowledge® includes a variety of automated EMG analysis routines.

EMG Automated Analysis Routines in AcqKnowledge®

A range of fully automated routines provide quick, easy, and reproducible results. For more information, choose an Advanced Feature and click through for application details and hardware suggestions.

Advanced Features Spotlight

EMG data BIOPAC AcqKnowledge

Surface EMG

BIOPAC offers a variety of surface EMG (sEMG) recording and analysis options. sEMG data can be recorded with reusable or disposable surface EMG electrodes sent More...

Automated EMG Analysis

AcqKnowledge includes a number of powerful automated EMG analysis features. Derive Average Rectified EMG   Derive Average rectified EMG (ARV) is defined as a time More...

EMG Power Spectrum Analysis

A common tool for investigating electromyography (EMG) data is the Power Spectrum Density (PSD). Use AcqKnowledge for EMG Frequency & Power Analysis to compare responses More...

H-reflex data

H-Reflex Methodology

The Hoffmann reflex (H-reflex) is an electrically induced reflex that bypasses the muscle spindle. H-reflex is a useful measure to assess modulation of monosynaptic reflex More...

Facial EMG & Startle Response

Facial electromyography (fEMG) typically uses surface EMG electrodes to detect activity at the zygomaticus (cheek), orbicularis oculi (under eye), and/or corrugator supercilii (brow) muscle regions More...

Videos

EMG - Frequency and Power Analysis

EMG - Locate Muscle Activation

EMG- Derive Average Rectified

EMG - Derive Integrated EMG

EMG - Derive Root Mean Square

MRI - Cleaning Data - EMG example

BioNomadix Wireless EMG for Neuro-controlled Prosthestic

EL-CHECK Electrode Impedance Checker

Horse EMG - running on treadmill & data

BIOPAC Research Solutions | EMG

Support

Application Notes

Knowledge Base

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