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IX-BIO4 biopotential recorder with PN5 electrodes

RS-BIO-SA Small Animal ECG/EMG System

The RS-BIO-SA is optimized to record up to 4 (RS-BIO4-SA) or 8 (RS-BIO8-SA) channels of ECG, EMG and other biopotentials from mice and other rodents. The included software simplifies ECG and EMG analysis. The system can be used to record from other animals as well.

SKU RS-BIO-SA Categories ECG, EMG Tags Small Animal, System

Overview

The RS-BIO-SA system is optimized for mouse, rats, and other small animals.

The RS-BIO4 (4-channel) or RS-BIO8 (8-channel) biopotential amplifier allows multiple channels of EMG, ECG, EOG to be recorded simultaneously from a single subject. Measuring two channels of ECG (Lead I and Lead II) allows LabScribe software to calculate Lead III, aVR, aVF, and aVL.

The recorder is furnished with LabScribe Recording and Analysis Software and connects directly to a USB port on either a Macintosh or Windows PC.

IX-BIO Specifications

Analog Inputs	4 Biopotential ( IX-BIO4) 8 Biopotential (IX-BIO8)
Input Range	2400mV, 1200mV, 800mV, 400mV, 200mV, 100mV, 50mV, 25mV, 12mV
A/D Converter
Sampling Speed	20k Samples/sec per channel simultaneous
Resolution	16 Bit
System noise	< 6 µV
Interface	USB
General
Enclosure	Plastic
Power	USB
Warranty and Upgrades	Protected by a 3 year warranty

System Includes

Optional Add-ons

EMG Analysis Module

EMG Analysis Module can be used for measurements including SEMG Measurements, Maximal Voluntary Contraction (MVC), Muscle Force, Fatigue, Recruitment, Summation, Incomplete Tetanus, Complete Tetanus, and H-Reflex.

Time Domain Analysis

Setup instructions for EMG Analysis are available here.

Root Mean Square (RMS)
Maximum Voluntary Contraction (MVC)
Average Rectified Value
Threshold
Teager-Kaiser Energy

Frequency Domain Analysis

Setup instructions for EMG Analysis are available here.

Power Spectral Density (FFT)
Mean (MNF) and Median (MDF) Frequency
Peak Frequency (PKF)
Total Power (TTP)
Mean Power (MNP)
Frequency Ratio (FR)

LabScribe - EMG MCV — Maximum Voluntary Contraction (MVC)

labscribe - EMG ARV — Average Rectified Value (ARV)

labscribe - EMG RMS — Root Mean Square (RMS)

labscribe - EMG Freq Ratio — Frequency Ratio

labscribe - EMG Mean Median Peak Freq — Mean, Median, and Peak Frequency

labscribe - EMG Threshold — Threshold

labscribe - EMG TKE — Teager-Kaiser Energy (TKE)

labscribe - EMG Total Mean Power — Total and Mean Power

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

LabScribe ECG Analysis Module

The iWorx LabScribe ECG Analysis Module is an add-on to LabScribe software intended to automate the analysis of ECG data from a variety of species.

Features:

Measure R-R, PR, QT, QR and QTc intervals, QRS, T, P and TP durations, P, Q, R, S, T amplitudes and ST elevation, etc…
Specific analysis templates are included to accurately delineate PQRST onset, durations and amplitudes
Custom templates can also be created based on unique ECG profiles and saved to a library for future use
Beat averaging and classification
Outlier removal based on abnormal R-R intervals, heart rate, noise and activity
Easily extract source data and average data as images or text files
Plug and play compatible with all iWorx data acquisition
Conduct arrhythmia analysis

Features

Measure R-R, PR, QT, QR and QTc intervals, QRS, T, P and TP durations, P, Q, R, S, T amplitudes and ST elevation, etc.
Specific analysis templates are included to accurately delineate PQRST onset, durations and amplitudes
Custom templates can also be created based on unique ECG profiles and saved to a library for future use

Beat averaging and classification
Outlier removal based on abnormal R-R intervals, heart rate, noise and activity
Easily extract source data and average data as images or text files
Plug and play compatible with all iWorx data acquisition
Conduct arrhythmia analysis

Technotes

Videos

Citations

Citations for IX-BIO4 and IX-BIO8:

Lienemann, Samuel, et al. “Stretchable gold nanowire-based cuff electrodes for low-voltage peripheral nerve stimulation.” Journal of Neural Engineering 18.4 (2021): 045007.
Sirisha, Allampalli, et al. “Effect of honey and insulin treatment on oxidative stress and nerve conduction in an experimental model of diabetic neuropathy Wistar rats.” PloS one 16.1 (2021): e0245395.
Dehkordi, Parastoo, et al. “Estimation of Cardiac Time Intervals From the Mechanical Activity of the Heart Using Machine Learning.” 2019 Computing in Cardiology (CinC). IEEE, 2019.
Zhu, Canzhan, et al. “Phloroglucinol averts isoprenaline hydrochloride induced myocardial infarction in rats.” Drug development research (2019).
Gottschall, Jinger S., Bryce Hastings, and Zachary Becker. “Muscle Activity Patterns Do Not Differ Between Push-Up and Bench Press Exercises.” Journal of applied biomechanics(2018): 1-20.
Craighead, Daniel H., et al. “Ingestion of TRP channel agonists attenuates exercise‐induced muscle cramps.” Muscle & Nerve (2017).
Looney, David P., et al. “Electromyographical and Perceptual Responses to Different Resistance Intensities in a Squat Protocol: Does Performing Sets to Failure With Light Loads Produce the Same Activity?.” The Journal of Strength & Conditioning Research
30.3 (2016): 792-799.
Flanagan, Shawn D., et al. “Concurrent Validity of the Armour39 Heart Rate Monitor Strap.” The Journal of Strength &
Conditioning Research 28.3 (2014): 870-873.
Earp, Jacob E., et al. “Regional Surface Electromyography of the Vastus Lateralis During Strength and Power Exercises.” The Journal of Strength & Conditioning Research 30.6 (2016): 1585-1591.
Kh Dehkordi, Parastoo, et al. “Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation.” Frontiers in physiology 10 (2019): 1057.

659

ECG and EMG papers on Google Scholar cite iWorx | Papers about ECG using iWorx systems on Google Scholar | Papers about EMG using iWorx systems on Google Scholar

The RS-BIO-SA system is optimized for mouse, rats, and other small animals.

The RS-BIO4 (4-channel) or RS-BIO8 (8-channel) biopotential amplifier allows multiple channels of EMG, ECG, EOG to be recorded simultaneously from a single subject. Measuring two channels of ECG (Lead I and Lead II) allows LabScribe software to calculate Lead III, aVR, aVF, and aVL.

The recorder is furnished with LabScribe Recording and Analysis Software and connects directly to a USB port on either a Macintosh or Windows PC.

System Includes

Options

ECG

Templates for Different Species

Mouse
Rat
Zebrafish
Rabbit
Guinea Pig

Small Dog
Large Dog
Human
Pig

Measurements

Measure various intervals such as: QRS, QT, QTc, QR, ST Pb-R, P-R, Pe-R, Qb-R, Q-R, S-R, Se-R, Tb-R, T-R, Te-R
Amplitudes such as: P , Q, R, S , T, ST elevation, QR Amp

Filtering and Averaging

Use FIR and Notch filters to filer out the noise from the ECG signal before processing.

Multiple cycles can also be average further reducing the noise. Average by specified number of beats, or specified time interval.

Graphical Display of Detected Points

The following locations are displayed on the ECG waveform:

Beginning, peak and end of P
Beginning of Q
peak of R wave
End of S
Beginning, peak and end of T wave

Outliers and Artifacts

Outlier removal based on abnormal R-R intervals, heart rate, noise, activity, P amplitude, and T amplitude.

Manually mark outliers if needed. A list of outliers is displayed

EMG

Measurements

SEMG Measurements
Maximal voluntary contraction
Muscle Force
Fatigue
Recruitment
Summation
Incomplete Tetanus
Complete Tetanus
H-Reflex

Analysis

Time Domain Analysis
- Rectified EMG Data
- RMS ( Root Mean Square)
- Envelope EMG Data
- Filtering
- Mean Frequency
- Area Under The Curve

Frequency Domain Analysis
- Power Spectral Density

Technotes

Accessories

SA-TCS-6 Temperature Controller with Heated Bed
SA-TCS-8 Temperature Controller with Heated Bed for Rats
TM-BIO Temperature Sensor
C-ISO-F3 Flexible Silver Wire Electrodes

Videos

Citations

659

ECG and EMG papers on Google Scholar cite iWorx | Papers about ECG using iWorx systems on Google Scholar | Papers about EMG using iWorx systems on Google Scholar

Citations for IX-BIO4 and IX-BIO8:

Lienemann, Samuel, et al. “Stretchable gold nanowire-based cuff electrodes for low-voltage peripheral nerve stimulation.” Journal of Neural Engineering 18.4 (2021): 045007.
Sirisha, Allampalli, et al. “Effect of honey and insulin treatment on oxidative stress and nerve conduction in an experimental model of diabetic neuropathy Wistar rats.” PloS one 16.1 (2021): e0245395.
Dehkordi, Parastoo, et al. “Estimation of Cardiac Time Intervals From the Mechanical Activity of the Heart Using Machine Learning.” 2019 Computing in Cardiology (CinC). IEEE, 2019.
Zhu, Canzhan, et al. “Phloroglucinol averts isoprenaline hydrochloride induced myocardial infarction in rats.” Drug development research (2019).
Gottschall, Jinger S., Bryce Hastings, and Zachary Becker. “Muscle Activity Patterns Do Not Differ Between Push-Up and Bench Press Exercises.” Journal of applied biomechanics(2018): 1-20.
Craighead, Daniel H., et al. “Ingestion of TRP channel agonists attenuates exercise‐induced muscle cramps.” Muscle & Nerve (2017).
Looney, David P., et al. “Electromyographical and Perceptual Responses to Different Resistance Intensities in a Squat Protocol: Does Performing Sets to Failure With Light Loads Produce the Same Activity?.” The Journal of Strength & Conditioning Research
30.3 (2016): 792-799.
Flanagan, Shawn D., et al. “Concurrent Validity of the Armour39 Heart Rate Monitor Strap.” The Journal of Strength &
Conditioning Research 28.3 (2014): 870-873.
Earp, Jacob E., et al. “Regional Surface Electromyography of the Vastus Lateralis During Strength and Power Exercises.” The Journal of Strength & Conditioning Research 30.6 (2016): 1585-1591.
Kh Dehkordi, Parastoo, et al. “Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation.” Frontiers in physiology 10 (2019): 1057.

LabScribe ECG Analysis Module

The iWorx LabScribe ECG Analysis Module is an add-on to LabScribe software intended to automate the analysis of ECG data from a variety of species.

Features:

Measure R-R, PR, QT, QR and QTc intervals, QRS, T, P and TP durations, P, Q, R, S, T amplitudes and ST elevation, etc…
Specific analysis templates are included to accurately delineate PQRST onset, durations and amplitudes
Custom templates can also be created based on unique ECG profiles and saved to a library for future use
Beat averaging and classification
Outlier removal based on abnormal R-R intervals, heart rate, noise and activity
Easily extract source data and average data as images or text files
Plug and play compatible with all iWorx data acquisition
Conduct arrhythmia analysis

Features

Measure R-R, PR, QT, QR and QTc intervals, QRS, T, P and TP durations, P, Q, R, S, T amplitudes and ST elevation, etc.
Specific analysis templates are included to accurately delineate PQRST onset, durations and amplitudes
Custom templates can also be created based on unique ECG profiles and saved to a library for future use

Beat averaging and classification
Outlier removal based on abnormal R-R intervals, heart rate, noise and activity
Easily extract source data and average data as images or text files
Plug and play compatible with all iWorx data acquisition
Conduct arrhythmia analysis

IX-BIO Specifications

Analog Inputs	4 Biopotential ( IX-BIO4) 8 Biopotential (IX-BIO8)
Input Range	2400mV, 1200mV, 800mV, 400mV, 200mV, 100mV, 50mV, 25mV, 12mV
A/D Converter
Sampling Speed	20k Samples/sec per channel simultaneous
Resolution	16 Bit
System noise	< 6 µV
Interface	USB
General
Enclosure	Plastic
Power	USB
Warranty and Upgrades	Protected by a 3 year warranty

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See why 93 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.

Join Our Community

Join the rapidly growing community of professors, teaching assistants and students in colleges and universities around the world who are using iWorx solutions to advance the science of physiology.

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.