Delsys Trigno™ EMG System*

Electromyography (EMG) is a technique used to measure the electrical activity generated by muscles during contractions. By using EMG technologies, gain insights into muscle activation patterns, timing, intensity, and coordination for applications in sports performance, rehabilitation, biomechanics, and ergonomics. Leverage the neural signals for control algorithms to interface with robotics, human-machine interactions and extended reality.

  • Robust Communication

    Proprietary wireless protocol to maintain constant and tightly synchronized data transmission over a 40 m range.

  • Reliable and Accurate

    Fixed interelectrode distance with patented parallel bar technology to ensure precise EMG signal monitoring.

  • Easy to Use

    Dry electrode for simple sensor preparation, placement, and long-term signal stability.

  • Intuitive Interfaces

    User-friendly software options to allow simple workflows for collecting, visualizing, analyzing and storing data.

  • High Fidelity Data

    Patented sensor design and dual-onboard referencing to minimize common signal interference sources and provide market-leading EMG data quality.

Trigno Centro
Trigno Centro Overview

The Trigno® Centro Base Station is a communicating unit for Trigno® Avanti sensors and is capable of securing a continuous synchronized data stream with up to 32 sensors. It can synchronously digitize up to six user-configurable analog signals as well as a microphone input. Four user-configurable digital I/O channels for event marking and device synchronization functions are available. Control of the Centro Base Station is managed by Trigno® Discover® software or the user-programmable Trigno® API over a USB port.

Front Side Back In Use In Use
Technical Specifications
  • Wireless Range

    40 m+ and benefiting from the dual antenna for transmission diversity

  • Wireless Protocol

    Proprietary RF communication over the 2400–2483 MHz (ISM band) frequency

  • Sensor Capacity

    32 sensors from the single Trigno Centro receiver

  • Triggering

    4 in-built BNC trigger ports for input/output, 5 V or 3.3 V, and constant-time sync pulses

  • Analog Inputs

    Input of 6 channels of high-frequency analog data up to 48 kHz

  • Microphone Input

    3.5 mm connector for 48 kHz audio sampling

Trigno Lite
Trigno Lite USB Adapter

For cost-effective, portable, or space-constrained needs, the Trigno® Lite USB Adapter offers an alternative path to the Centro Base unit for wireless communication, allowing up to four sensors to communicate with a PC/laptop over a USB 2.0 compliant port. The Trigno® Lite adapter supports all the Avanti sensors available in the Centro unit.

Charge-4 Station

A compact 4-sensor recharge station is available for the purpose of sensor recharging. Charge operation is identical to that of the Charge 16 unit using the same SC-P09 power supply. The green LED on the charger illuminates when it is ready for use.

Front Side Back In Use
  • EMG & Motion Data, Simplified

    Trigno Lite pairs research-grade sensors with laptop/tablet simplicity, delivering high-quality EMG and movement data plus point-of-care results with minimal setup, while its advanced software streamlines wireless signal acquisition and analysis.

    • Transmit data from Trigno wireless sensors to a USB receiver.

      Our proprietary RF protocol guarantees synchronization between all sensors. The USB receiver will be connected to a PC that can run our Trigno Discover app for plotting and storing data.

    Trigno Discover

    Integrated Data Streaming and Analysis

    Slide 1
    Slide 2
    Slide 3
    Slide 4
    Slide 5
    Slide 6
    Database File Structure

    Enhances organization, improves searchability, streamlines access, and ensures efficient data sharing across collaborators and projects.

    Advanced Calibrations

    Ensures consistent, accurate data, with normalization techniques and improves reliability for precise EMG signal analysis.

    Real-time Biofeedback

    Enables targeted muscle control through actionable insights for improved performance, rehabilitation and engagement.

    HDsEMG ColorMap Visualizations

    Real-time topographical representation of muscle activity for dynamic mapping of regional distributions.

    Custom Threshold Based Analysis

    Automates event detection, improves accuracy, streamlines analysis, and provides in-depth data metrics.

    Data Integration Pathways

    Increases flexibility, enables diverse data sources, enhances system compatibility, and supports various hardware configurations.

    Database File Structure

    Enhances organization, improves searchability, streamlines access, and ensures efficient data sharing across collaborators and projects.

    Advanced Calibrations

    Ensures consistent, accurate data, with normalization techniques and improves reliability for precise EMG signal analysis.

    Real-time Biofeedback

    Enables targeted muscle control through actionable insights for improved performance, rehabilitation and engagement.

    HDsEMG ColorMap Visualizations

    Real-time topographical representation of muscle activity for dynamic mapping of regional distributions.

    Custom Threshold Based Analysis

    Automates event detection, improves accuracy, streamlines analysis, and provides in-depth data metrics.

    Data Integration Pathways

    Increases flexibility, enables diverse data sources, enhances system compatibility, and supports various hardware configurations.

    Neuromap

    Automatically extract and visualize motor unit shapes and behavior.

    2B
    2C
    2D
    2E
    2E

    Reveal the neural code that drives human movement.

    Analyze the neural foundations of complex movement like cycling and gait.

    Discover relationships between neural signals, muscle activity and kinematics.

    Identify time intervals for further analysis.

    Quantify and compare neural activation across time, muscles and subjects.

    Reveal the neural code that drives human movement.


    Analyze the neural foundations of complex movement like cycling and gait.


    Discover relationships between neural signals, muscle activity and kinematics.


    Identify time intervals for further analysis.


    Quantify and compare neural activation across time, muscles and subjects.


    Delsys API

    Designed as a bridge between Delsys Trigno data and the expanding digital world, the Delsys API creates customizable real-time interfaces for reserach, OEM, and industry projects across movement and robotic applications.

    • On-Demand Code

      Extensive knowledge-based resources and example codes

    • Low-Latency Streaming

      Get real-time access to Trigno data for adaptive environments

    • Cross-Platform Compatibility

      Interface with Python, C#, or Unity and connect with 3rd party equipment

    Build Your Own Applications
    • Analyzing Biomechanics

      Design tools for on-demand data-driven results

    • Extending Realities

      Create immersive and engaging experiences with AR/VR environments

    • Interfacing Humans and Machines

      Leverage myoelectric control for robot interactions

    System Requirements
    • Windows 11

    • Python 3.12.0 (For Python developers)

    • Unity 2021.3.0f1 or greater (For Unity Developers)

    • VSCode 1.97 (recommended)

    Documentation

    • User Guide
    • Trigno® Wireless Biofeedback System User’s Guide

    • User Guide
    • Trigno® Link Communication Module User’s Guide

    References

    Ambrus, G.G., Amado, C., Krohn, L. and Kovács, G.. (2019). TMS of the occipital face area modulates cross-domain identity priming. Brain Structure and Function, 224(1), 149--157.
    DOI 10.1007/s00429-018-1768-0

    Arvanian, Victor L and Petrosyan, Hayk and Zou, Chuancai and Zaidi, Mohammed and Hou, Wei and Tesfa, Asrat and Fahmy, Magda and Kaufman, Mark A and Sisto, Sue Ann and Leone, Cynthia. (2018). Non-invasive spinal electro-magnetic stimulation (SEMS): a tool for evaluation and modulation of lower limb spinal-muscular transmission in healthy adults. bioRxiv, 382341.
    DOI 10.1101/382341

    Clark, Brian C and Russ, David W and Nakazawa, Masato and France, Christopher R and Walkowski, Stevan and Law, Timothy D and Applegate, Megan and Mahato, Niladri and Lietkam, Samuel and Odenthal, James and others. (2018). A randomized control trial to determine the effectiveness and physiological effects of spinal manipulation and spinal mobilization compared to each other and a sham condition in patients with chronic low back pain: Study protocol for The RELIEF Study. Contemporary clinical trials, 70, 41--52.
    DOI 10.1016/j.cct.2018.05.012

    Do, Michael and Kirkovski, Melissa and Davies, Charlotte B and Bekkali, Soukayna and Byrne, Linda K and Enticott, Peter G. (2018). Intra-and Inter-Regional Priming of Ipsilateral Human Primary Motor Cortex With Continuous Theta Burst Stimulation Does Not Induce Consistent Neuroplastic Effects. Frontiers in Human Neuroscience, 12.
    DOI 10.3389/fnhum.2018.00123

    Nandi, T., Lamoth, C. J., van Keeken, H. G., Bakker, L. B., Kok, I., Salem, G. J., ... & Hortobágyi, T. (2018). In Standing, Corticospinal Excitability Is Proportional to COP Velocity Whereas M1 Excitability Is Participant-Specific. Frontiers in human neuroscience, 12.
    DOI 10.3389/fnhum.2018.00303

    Négyesi, J., Veldman, M.P., Berghuis, K.M., Javet, M., Tihanyi, J. and Hortobágyi, T. (2018). Somatosensory Electrical Stimulation Does Not Augment Motor Skill Acquisition and Intermanual Transfer in Healthy Young Adults—A Pilot Study. Motor control, 22(1), 67--81.
    DOI 10.1123/mc.2016-0048

    Ruddy, Kathy L and Balsters, Joshua and Mantini, Dante and Liu, Quanying and Kassraian-Fard, Pegah and Enz, Nadja and Mihelj, Ernest and Chander, Bankim Subhash and Soekadar, Surjo R and Wenderoth, Nicole. (2018). A different state of mind: neural activity related to volitionally up-versus downregulating cortical excitability. bioRxiv, 370130.
    DOI 10.1101/370130

    Ruddy, Kathy L and Woolley, Daniel G and Mantini, Dante and Balsters, JH and Enz, Nadja and Wenderoth, Nicole. (2018). Improving the quality of combined EEG-TMS neural recordings: Introducing the coil spacer. Journal of neuroscience methods, 294, 34--39.
    DOI 10.1016/j.jneumeth.2017.11.001

    Items marked with* are investigational devices and for research use only. CAUTION - Investigational Device. Limited by Federal (or United States) law to investigational use.