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

Yun Wang
Yun Wang
, 
Laura Freedman
Laura Freedman
, 
Martin Buck
Martin Buck
, 
Jose Bohorquez
Jose Bohorquez
, 
Seward B. Rutkove
Seward B. Rutkove
 y 
John Keel
John Keel
   | 31 dic 2019
Journal of Electrical Bioimpedance's Cover Image
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Publicado en línea: 31 dic 2019
Páginas: 103 - 109
Recibido: 29 nov 2019
DOI: https://doi.org/10.2478/joeb-2019-0015
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© 2019 Yun Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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)
eISSN:
1891-5469
Idioma:
Inglés
Calendario de la edición:
Volume Open
Temas de la revista:
Engineering, Bioengineering and Biomedical Engineering, Biomedical Electronics, Life Sciences, Biophysics, Medicine, Biomedical Engineering, Physics, Spectroscopy and Metrology
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