This add-on is designed to extract useful statistical temporal and spectral information from electromyography data acquired with the biosignalsplux Electromyography (EMG) sensor and muscleBAN, and the BITalino Electromyography (EMG) sensor and muscleBIT Bundle. Its own automatic onset detection algorithm is designed to detect muscle activations in the EMG signal, allowing the user to select and derive activation-specific parameters for further analysis of the EMG signal.

The onset detection algorithm can be fine-tuned for application-specific muscle activation detection by defining the frequency ranges of interest using the available low pass, high pass, and band pass filters. This add-on can also be used for muscle activation order analysis and to conduct a Maximum Voluntary Contraction-dependent statistical analysis.

The following list presents an overview of all the computed parameters which can also be exported in the .CSV and .PDF file formats. Download our Sample Reports for these add-ons for more information.

• Automatic onset detection algorithm
• Temporal & spectral feature extraction
• Maximum Voluntary Contraction-dependent statistical analysis
• Multi-channel signal processing
• Direct parameter comparison of 2 selected muscle activations

• Acquisition Parameters (start, end, duration)
• Activation-specific parameters:
• Start & end time
• Latency
• Max. & min. amplitudes
• Peak-to-Peak amplitudes
• Root-Mean-Square
• Integral over activation segment (result only, not integral signal)

• OpenSignals & Add-Ons User Manual
• Sample EMG Report (.ZIP containing .CSV & .PDF report)

• Electromyography (EMG)
• muscleBAN

• Electromyography (EMG)

This add-on is included in the following biosignalsplux kits:

• biosignalsplux Professional
• biosignalsplux Force+EMG
• biosignalsplux ergoExplorer
• biosignalsplux ergoResearcher

This add-on can be included in the following BITalino bundles:

• StarterBIT (Starter Version)
• StarterBIT (Plugged Version)
• ResearcherBIT

• biosignalsplux Documentation
• biosignalsplux Sample Signals
• biosignalsplux Publications

• BITalino Documentation
• BITalino Sample Signals
• BITalino Publications