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RS-EMG-STIM: Large Animal EMG System with Stimulation

The RS-EMG-STIM is built to study EMG recordings or a combination of EMG and ECG recordings. It is optimized for recording data from large animals.

RS-EMG-STIM can be used for Compound Muscle Action Potential (CMAP) and Nerve Conduction Velocity.

SKU RS-EMG-STIM1 Categories EMG, System Tags EMG, System

Features

Portable, USB powered
Color coded leads
Easy export
Built in Journal for creating reports
Lab Site license included
Free software updates
Record multiple channels of EMG, ECG, EOG simultaneously from a single subject
EMG analysis included
Add sensors for other parameters, such as temperature, pressure etc

LabScribe EMG Analysis Module

The iWorx LabScribe EMG Software Module is a robust and intuitive tool designed to effortlessly streamline the analysis of EMG data across a wide range of species.

Measurements

SEMG Measurements
Maximal Voluntary Contraction (MVC)
Muscle Force
Fatigue
Recruitment
Summation
Incomplete Tetanus
Complete Tetanus
H-Reflex

Analysis

Time Domain Analysis

Root Mean Square (RMS)
- Regarded as the most common method for assessing the amplitude of the EMG signal, as it offers a measure of the signal’s power and generates a waveform that is easy to analyze
Maximum Voluntary Contraction (MVC)
- A widely used measure of muscle strength in research. It represents the greatest force a person can voluntarily produce, reflecting their maximum effort
(Average) Rectified EMG Data
- For determining the overall strength of the neural drive to the muscle and is correlated with both the strength of muscle contraction and its output
Threshold
- For the detection of muscle activity timing in EMG signals
Teager-Kaiser
- Measures the amount of energy in an EMG signal
Area Under The Curve
- For determining the compound motor action potential (CMAP) and other measurements
Envelope EMG Data
- A classic method of measuring muscle contraction
Filtering
- User controlled high pass and low pass filters

Frequency Domain Analysis

Power Spectral Density (FFT)
- Breaks down the signal into high and low-frequency spectral components
Mean (MNF) and Median (MDF) Frequency
- The most valuable and commonly used frequency-domain features for assessing muscle fatigue in surface EMG signals
Peak Frequency (PKF)
- Frequency at which the maximum EMG power occurs
Total Power (TTP)
- Total amount of power used over time
Mean Power (MNP)
- The average power of EMG power spectrum
Frequency Ratio (FR)
- Differentiate between contraction and relaxation of muscle and it is defined as the ratio of power spectrum at low-frequency band and high-frequency band

EMG

8 Videos

Maximum Voluntary Contraction (MVC) in LabScribe

1:14

Average Rectified Value (ARV) in LabScribe

1:04

Average Rectified Value (ARV) in LabScribe

1:04

EMG Frequency Ratio in LabScribe

0:55

EMG Threshold Analysis in LabScribe

1:01

Mean, Median, and Peak Frequency in LabScribe

1:12

Teager Kaiser Energy (TKE) in LabScribe

0:59

Total Power and Mean Power in LabScribe

1:14

System Includes

Citations

Crouch, Michael S., Mingde Zheng, and Michael S. Eggleston. “Natural Typing Recognition vis Surface Electromyography.” arXiv preprint arXiv:2109.10743 (2021).
Djabakatie, Zakiyat. “Function of spiny dorsal fin erector muscles in the bluegill, Lepomis macrochirus.” (2021).
Yen, Patrick Szu-Ying, et al. “Upregulation of Glutamatergic Receptors in Hippocampus and Locomotor Hyperactivity in Aged Spontaneous Hypertensive Rat.” Cellular and Molecular Neurobiology (2021): 1-13.
Bao, Xinqi, Aimé Kingwengwe Abdala, and Ernest Nlandu Kamavuako. “Estimation of the Respiratory Rate from Localised ECG at Different Auscultation Sites.” Sensors 21.1 (2021): 78.
Zhang, Yi, et al. “Stretch-induced sarcoplasmic reticulum calcium leak is causatively associated with atrial fibrillation in pressure-overloaded hearts.” Cardiovascular research 117.4 (2021): 1091-1102.
Ibsen, Lasse W., and Samuel Schmidt. “Seismocardiography as method for studying acute alcohol related hemodynamic changes.“(2020).
Quint, Clay. “Tissue‐engineered vessel derived from human fibroblasts with an electrospun scaffold.” Journal of Tissue Engineering and Regenerative Medicine (2020).
Bao, Xinqi, et al. “Comparison between Embroidered and Gel Electrodes on ECG-Derived Respiration Rate.” 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2020.
Lee, Jiho, et al. “An Efficient Noninvasive Neuromodulation Modality for Overactive Bladder Using Time Interfering Current Method.” IEEE Transactions on Biomedical Engineering (2020).
Hodge, Jacob, and Clay Quint. “Tissue engineered vessel from a biodegradable electrospun scaffold stimulated with mechanical stretch.” Biomedical Materials (2020).
Lee, Hsiang-Chun, et al. “The sodium–glucose co-transporter 2 inhibitor empagliflozin attenuates cardiac fibrosis and improves ventricular hemodynamics in hypertensive heart failure rats.” Cardiovascular diabetology 18.1 (2019): 45.
Azad, Md Khurshidul, et al. “Monitoring Intracranial Pressure Using Non-Invasive Brain Stethoscope.” SoutheastCon 2018. IEEE, 2018.
Petrovich, Olivera. “The Effects of Binaural Beats on Emotion and Cognition.” (2018).
Craighead, Daniel H., et al. “Ingestion of transient receptor potential channel agonists attenuates exercise‐induced muscle cramps.” Muscle & nerve 56.3 (2017): 379-385.
Shiou, Yi-Lin, et al. “High fat diet aggravates atrial and ventricular remodeling of hypertensive heart disease in aging rats.” Journal of the Formosan Medical Association (2017).
Munck, Kim, et al. “Body surface mapping of the mechanical cardiac activity.” Computing in Cardiology Conference (CinC), 2016. IEEE, 2016.
Struijk, Johannes J., et al. “Heart-valve sounds obtained with a Laser Doppler Vibrometer.” Computing in Cardiology Conference (CinC), 2016. IEEE, 2016.

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We are pleased to note that more than 90 of the top 100 schools in the U.S. (as ranked by US News and World Report) are currently using iWorx equipment and software in their labs.