Electro - Myograph Trainer Manufacturer,Supplier and Exporter in India
.png)
Product Code : SCL-MDE-12448
Indian Lab Suppliers offers the Electromyograph (EMG) Trainer (Product ID: 12448) as part of its Medical Diagnostic Equipment range under Hospital Lab Equipment. The bioelectric potentials associated with muscle activity constitute the electromyogram (EMG); this trainer provides in-depth study of electric potentials generated by muscles, using pregelled Ag-AgCl surface electrodes and a built-in EMG simulator for classroom-safe, non-invasive analysis.
Quick Answer
This trainer observes EMG signals via pregelled Ag-AgCl surface electrodes placed near a muscle of interest, giving an indication of the activity of a group of muscles rather than an individual muscle fibre. Because invasive needle-electrode techniques are not appropriate at the educational level, a built-in EMG simulator generates 10 simulated EMG pattern types – Normal EMG, Excited EMG, Raw EMG data, 100Hz filtered, 250Hz filtered, 1kHz filtered, EMG at 0.53Hz, EMG at 53Hz, Power spectrum at 0.53Hz, and Power spectrum at 53Hz – each with a visible LED indication.
Key Features
Separate test points to observe waveforms after each block · Amplified real-time EMG output · Inbuilt EMG simulator, non-invasive alternative to needle-electrode techniques · 10 simulated EMG pattern outputs · Visible LED indication for each simulated EMG output · Pregelled Ag-AgCl surface electrodes · Band-pass and notch filtering for clean signal observation
Key Specifications
| Parameter | Specification |
|---|---|
| Signal | EMG (electromyogram), bioelectric potential from muscle activity |
| Electrodes | Surface electrodes, Ag-AgCl, pregelled |
| CMRR | Greater than 100dB |
| Band-pass filter | 1Hz to 10kHz |
| Notch filter | 50Hz |
| Simulated EMG patterns | 10 types: Normal EMG, Excited EMG, Raw EMG data, 100Hz filtered, 250Hz filtered, 1kHz filtered, EMG at 0.53Hz, EMG at 53Hz, Power spectrum at 0.53Hz, Power spectrum at 53Hz |
| Simulated EMG indication | Visible LED, per pattern |
| Power supply | 230V ±10%, 50Hz |
Where This Is Used
This trainer suits biomedical engineering and physiotherapy/neurophysiology training laboratories teaching EMG signal acquisition, filtering and pattern recognition without needing invasive needle-electrode techniques. It complements our Electroencephalograph (EEG) Trainer and Phonocardiograph (PCG) Trainer within the wider Medical Diagnostic Equipment range. Browse the full laboratory equipment range for related training and diagnostic instruments.
Why Buy from Indian Lab Suppliers
Indian Lab Suppliers is an India-based laboratory equipment manufacturer and exporter supplying hospital and biomedical training equipment to institutions and distributors worldwide. Every order can be supplied with export documentation, and a Certificate of Origin is available on request to support customs clearance.
Frequently Asked Questions
How is the EMG signal picked up?
Via pregelled Ag-AgCl surface electrodes placed near a muscle of interest, giving an indication of activity across a group of muscles rather than a single muscle fibre.
Why does it use a simulator instead of needle electrodes?
Invasive needle-electrode techniques are not appropriate for classroom/educational use, so a built-in EMG simulator provides safe, repeatable simulated EMG patterns for internal EMG analysis instead.
What EMG patterns can the simulator generate?
10 types: Normal EMG, Excited EMG, Raw EMG data, 100Hz filtered, 250Hz filtered, 1kHz filtered, EMG at 0.53Hz, EMG at 53Hz, and Power spectrum representations at 0.53Hz and 53Hz, each shown with a visible LED indication.
Can I observe the signal at each processing stage?
Yes, separate test points are provided to observe waveforms after each functional block.
Related Categories
Explore the full Medical Diagnostic Equipment category, part of our wider laboratory equipment catalogue.
Request a Quote
For pricing, lead time and export documentation, please contact us or submit your requirement through our lab tender page.
.png)
.png)
.jpg)