Have a personal or library account? Click to login
Electrical impedance myography for assessing paraspinal muscles of patients with low back pain Cover

Electrical impedance myography for assessing paraspinal muscles of patients with low back pain

Journal of Electrical Bioimpedance
Volume 10 (2019): Issue 1 (January 2019)
By:
Open Access
|Dec 2019

Figures & Tables

Figure 1

A. The Myolex mViewTM system for neuromuscular assessment, including laptop, power convertor box, impedance measuring unit, and electrode array; B. Detail of electrode array used in this study; magenta-current emitting, blue-voltage sensing. Only data from these 4 electrodes were used in this analysis.
A. The Myolex mViewTM system for neuromuscular assessment, including laptop, power convertor box, impedance measuring unit, and electrode array; B. Detail of electrode array used in this study; magenta-current emitting, blue-voltage sensing. Only data from these 4 electrodes were used in this analysis.

Figure 2

Typical multifrequency data obtained from with the mView impedance-measuring system shown in Figure 1. This data is from a 34-year-old healthy volunteer.
Typical multifrequency data obtained from with the mView impedance-measuring system shown in Figure 1. This data is from a 34-year-old healthy volunteer.

Figure 3

A, B, C. The phase, resistance, and reactance values at 100 kHz (±standard deviation) for low back pain patients versus healthy controls. D, E, F. Receiver operating characteristic (ROC) plots for these same values. While the population means may be different, this analytical approach has limited value in discriminating between LBP patients and healthy individuals.
A, B, C. The phase, resistance, and reactance values at 100 kHz (±standard deviation) for low back pain patients versus healthy controls. D, E, F. Receiver operating characteristic (ROC) plots for these same values. While the population means may be different, this analytical approach has limited value in discriminating between LBP patients and healthy individuals.

Figure 4

A, B, C. Relative differences in 100 kHz values (absolute value (right-left difference /right-left average)) for low back pain patients versus healthy controls. D, E, F. ROC plots for these same values. The D-value is equal to the side-to-side difference divided by the average of both sides. While still not a strong discriminator, this approach is stronger.
A, B, C. Relative differences in 100 kHz values (absolute value (right-left difference /right-left average)) for low back pain patients versus healthy controls. D, E, F. ROC plots for these same values. The D-value is equal to the side-to-side difference divided by the average of both sides. While still not a strong discriminator, this approach is stronger.

Figure 5

A, B, C. Correlation between phase, resistance, and reactance values at 100 kHz and age. Both phase and reactance show a significant relationship, whereas resistance does not. D, E, F. Correlation between phase, resistance, and reactance values at 100 kHz and age. Both phase and resistance show a significant relationship, whereas reactance does not.
A, B, C. Correlation between phase, resistance, and reactance values at 100 kHz and age. Both phase and reactance show a significant relationship, whereas resistance does not. D, E, F. Correlation between phase, resistance, and reactance values at 100 kHz and age. Both phase and resistance show a significant relationship, whereas reactance does not.

Demographic data

Low Back Pain ParticipantsHealthy Volunteer
Participants4786
Median age, IQR51.0(39.5–57.5)45.5(30.3–56.0)
Sex (male/female)21/2642/44
Body weight (lbs)165.0(147.0–187.5)162.0(136.3–197.0)
Height (inches)67.0(64.5–70.0)66.0(64.0–69.0)
DOI: https://doi.org/10.2478/joeb-2019-0015 | Journal eISSN: 1891-5469
Journal RSS Feed
Language: English
Page range: 103 - 109
Submitted on: Nov 29, 2019
Published on: Dec 31, 2019
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
Low back pain,
paraspinal muscles,
electrical impedance,
radiculopathy,
musculoskeletal,
bioimpedance,
asymmetry,
age,
body mass index
Related subjects:
Engineering,
Bioengineering and biomedical engineering,
Biomedical electronics,
Life sciences,
Biophysics,
Medicine,
Biomedical engineering,
Physics,
Spectroscopy and metrology

© 2019 Yun Wang, Laura Freedman, Martin Buck, Jose Bohorquez, Seward B. Rutkove, John Keel, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 10 (2019): Issue 1 (January 2019)Next article