If you’ve played golf or tennis for any extended period of time, you have felt the extensive strain that these activities place on your elbow. We have begun utilizing Vibromyography (VMG) as a noninvasive means for measuring the muscle effort produced in the upper extremities. This technology has been tested extensively under conditions of dynamic isometric contraction and has been shown to accurately predict muscle force during maximum voluntary contraction levels. In order to provide the maximal benefit of this technology to the clinician, physical therapist, or trainer, we have begun isokinetic testing in the upper arm. The pilot study began addressing how well VMG assessment correlates to Biceps Brachii and Triceps force using isokinetic contraction over a 135 degree range of motion of the elbow.
Figure 1. The human elbow range of motion is typically 150o. To limit the variability of our exercise at the respective endpoints we recorded biceps and triceps muscle activity using an ROM of 0-135o.
VMG recordings were taken from the Bicep Brachii (BB) and the medial head of the Triceps Brachii (TB) of an adult male (age 24) during seated elbow extension/flexion in a Biodex System 3 muscle dynamometer (Biodex Medical Systems, Shirley, NY) (Figure 2).
Figure 2. Side view of upper arm, with the elbow supported in the Biodex dynamometer. Placement of the two VMG transducers on the BB and the TB muscle bodies are shown (sensors were secured by ace bandage during testing).Recordings were obtained using two TSD250 VMG Transducers interfaced to the MP150 Data Acquisition System (BIOPAC Systems, Goleta, CA).
The protocol consisted of 8 isokinetic flexions at an angular velocity of 30o/sec over an ROM of 135 degrees. Data from the transducers, along with torque, position, and velocity were simultaneously collected using 5 channels of the MP150 and preprocessed using BIOPAC Systems, Inc. AcqKnowledge 4.2 software. Preprocessing included application of the Vibromyography Filter to the BB and TB data, this is a wavelet packet filter that converts the VMG data to an assessment of absolute muscle effort (Figure 3)
Figure 3. Five channel data acquisition showing 8 elbow extension and flexion events, with Channel 4 & 5 showing the processed BB and TB VMG signals used to represent total muscle force. X-axis represents elapsed time in seconds.
The eight individual flexion events were identified and averaged to obtain a single representative event (Figure 4).
Figure 4. Average of 8 elbow flexion events into one event using the zero crossing of velocity as a reference point. X-axis represents sample number; sampling is at 62.5 Hz.
Estimated muscle force from the VMG was converted to torque using kinematic data (Ramsay 2008). A polynomial fit was generated for the moment arms for respective muscle groups (Figure 5).
Figure 5. Polynomial fit of the moment arms as a function of angle over the ROM of 5o – 125o, from the measurements of Ramsay, et al, 2008.
The recorded torque from the Biodex was corrected for gravitational loading (mass of the limb and mass of the dynamometer arm). Since the BB and TB share an antagonistic relationship, torque generated by the TB was subtracted from the torque generated by the BB (Figure 6).
Figure 6. VMG output (BB and TB muscle effort) as a function of angle (5o-125o) after conversion to torque generated. Data collected via VMG Transducer and BIOPAC MP150 and analyzed in MATLAB 7.12.0.635Net torque (BB-TB; Figure 7) was compared to the gravitationally corrected elbow torque measured by the dynamometer using linear regression (Figure 8).
Figure 7. Measured elbow torque (top) and estimated torque from VMG recordings (bottom) as a function of elbow flexion angle.
Figure 8. VMG Torque as a function of BB and TB muscle effort (shown as torque) demonstrates a linear correlation for the 20-100 degree ROM of a seated elbow flexion
A linear correlation (R2 = .54; p<0.0001) was observed between VMG and muscle force over the range of motion of 20-100o. While antagonistic muscle activity is generally thought to be minimal during open-chain contraction, we have observed that antagonistic muscle activity is, in fact, substantial during dynamometer assessment and without inclusion of the triceps activity; correlation observed between VMG predicted torque and measured was poor. The correlations observed here lead to the suggestion that VMG can provide a good estimate of muscle force during isokinetic contraction if all appropriate muscle is included in the assessment. As flexion of the forearm involves over eighteen different flexors, the inclusion of additional flexor activity in the analysis would be expected to improve the observed correlations.
References:
Ransay et al. (2008) Muscle moment arm and normalized moment contributions as reference data for musculoskeletal elbow and wrist joint models







In the 1970s and 1980s, feedback control muscle dynamometry was developed, and again, there was great hope that a means for assessing muscle activity would be available in the clinic. However, dynamometry requires that any exercise activity used in an assessment be open-chain so that the application to functional activity is unclear. Moreover, muscle dynamometers report torque generated at a joint, rather than the activity of a specific muscles, so that direct application to a muscle training regimen was always indirect. The inability for muscle dynamometers to assess closed-chain activities resulted in insurance companies removing this assessment technique as a reimbursable evaluation, and their presence in clinics has been greatly reduced over the past decade.
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