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Vibromyography (VMG) – Muscle Activity

Complete Systems for Muscle Monitoring Using Vibromyography

AcqKnowledge software includes automated VMG analysis filters to simplify the analysis process.

Study muscle performance and strength balance

AcqKnowledge Vibromyography data VMG

Breakthrough VMG technology—capture muscle force data in real time

BIOPAC provides breakthrough Vibromyography (VMG) technology allowing researchers to capture muscle force data in real time. VMG transducers record vibration data received from microelectromechanical systems (MEMS) sensors and proprietary software. Researchers can then use BIOPAC’s world-class MP data acquisition and analysis hardware platforms and powerful and flexible AcqKnowledge software for additional analysis.

VMG provides extremely reproducible results. The single sensor solution and the lack of skin preparation improve the reliability and reproducibility of muscle effort recordings between muscles and across subjects. One major benefit of being able to compare results between muscles and between subjects is the ability to perform muscle balance assessments.

 

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Intuitive, Elegant AcqKnowledge Software

Powerful automated analysis. Instantly & easily view, measure, analyze, transform, and report data.

Small form factor, precision recording

Systems use sensitive MEMS accelerometers, about the size of a quarter

Provides extremely reproducible results

Single sensor solution and lack of skin preparation improve reliability and reproducibility

Application Starter Hardware  

Hardware Packages   |   Vibromyography (VMG) – Muscle Activity

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

Details

VMG systems use sensitive MEMS accelerometers, about the size of a quarter, and advanced signal analysis algorithms to monitor muscle vibration. The technique allows researchers to study muscle performance and strength balance.

Accelerometers are secured over the muscle belly* and record the small vibrations that occur when the muscle is activated. AcqKnowledge software uses wavelet packet analysis to extract the vibrational components that correlate with the effort generated by the muscle being studied. AcqKnowledge includes automated VMG analysis filters to simplify the analysis process.

Complete systems for muscle monitoring using Vibromyography include an MP data acquisition and analysis system with VMG analysis filters and TSD250A VMG transducers, plus interface DA100C+TCI114 where necessary. Available as 2- or 4-channel VMG Systems—add transducers to extend up to 16 channels.

Advanced Features Spotlight

AcqKnowledge Vibromyography data VMG

VMG - Assess muscle effort

The ability to noninvasively assess voluntary muscle effort has wide application in physiologic studies, sports and rehabilitation medicine, as well as movement science. Traditionally, surface More...

Vibromyography transducer

VMG - Assess Quad-Hamstring Activity after ACL Tear

Vibromyography (VMG) has distinct benefits over dynamometry in that VMG recordings reproducibly reflect absolute muscle effort up to 100% of maximum voluntary contraction. Correspondingly, VMG More...

AcqKnowledge Vibromyography data VMG

VMG - Assess absolute isometric muscle effort

Vibromyography (VMG) has distinct benefits over EMG in that the recordings much more accurately reflect absolute muscle effort up to 100% maximum voluntary contraction. Correspondingly, More...

VMG - Length-Tension Curves

To date it has been difficult to characterize the length-tension curve for a specific muscle. However, recent developments in the application of vibromyographic (VMG) technology More...

Videos

Vibromyography Solutions from BIOPAC (English)

VMG - Chinese

VMG - Espanol

VMG - Francois

VMG - Japanese

VMG - Korean

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