J&J ENGINEERING: Your Source for Applied Neuropsychophysiology. Clinical Biofeedback . Neurofeedback . Hardware and Software
sEMG BIOFEEDBACK SUITE
SOFTWARE
For Muscle Re-education, Rehabilitation and Treatment of Incontinence
Our Multi-EMG applications are an impedence-verified, noise-attenuated sEMG biofeedback (myofeedback) application which can monitor and provide high quality graphical biofeedback from two or 4 sites sites simultaneously.
Accurate impedance check means you get true baseline, not artifact.
You can run a series of evaluation and training trials
You can print out the results of each session.
The powerful sEMG software combines dynamic graphics with a simple analysis and powerful reporting function.
Features:
Screens for Relaxation, Bi-lateral training, Strenghthening Training , Equilibration and Reports
Pre-set Protocols for: Baseline, Relaxation, Bilateral Balance, Reciprical Inhibition, Co-contraction, Maximal Force and Endurance
Make or Modify a Protocol as needed.
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2 EMG BALANCE is a 2-channel sEMG program.
4 EMG BALANCE is a 4-channel sEMG program.
EMG-BALANCE TRAINING is based on of 35 years of experience in Biofeedback and Muscle Rehabilitation.
The software comes with simple protocols for beginners, as well as experts.
Click on Image to Enlarge..
Rectified sEMG Results:
Train Relaxation on EMG-B.
Detect EMG on contralateral EMG-A.
Skewness - Local Fatigue Indicators:
Compare Mean-Median Frequency Shifts (skewness) during Work-Rest Exercises.
Put it all together:
Amplitude, Feedback Success and Skewness.
IMAGES
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Raw EMG.CHART
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1,2,3 or 4 EMGns
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1EMG+Tmp+SR Rainbow
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2 A+B Thr Bars n
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2 C+D Thr Bars n
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4 A+B]C+D Bars n
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4 EMG.QUAD.T.SC.R
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4 EMGn.ReverseScroll
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4 EMGs+MozaicGame
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4EMG.T.SC.R CHART
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EMG. BlackBackgrnd
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EMG. Ghost.Stacked
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EMGn x2+TmpSC Rsp
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EMGn+Th.Rainbow
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EMGn+Th.UpBars
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EMGs+Th.CHART
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EMGs+Th.FillUp
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FastPairs+SlowHist.
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FillPairs. A+B]C+D
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narrow band ---
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EMG BALANCE Applications make use of pre-set protocols, pre-set matching Second Monitor Training screens, SUCCESS feedback ['SCORE'} and the ability to choose one or more EMG signals for combined feedback tasks. It also has a new Report Generator that allows you to look back at a session and see how the selection of muscle tasks and thresholds influenced learning. A major Innovation is the addition of the mean-median sEMG frequency graphs to detect possilbe local muscle fatigue. (Read more about it in Modailties and Feedback Choices.)
Shows Mean-Median Shifts in muscle spectral frequencies-
related to local fatigue.