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A biomimetic anthropomorphic leg phantom for wearable bioimpedance sensing in lymphedema monitoring Cover

A biomimetic anthropomorphic leg phantom for wearable bioimpedance sensing in lymphedema monitoring

Open Access
|Sep 2026

Figures & Tables

Table 1:

Summarised composition of fat phantom.

MaterialsConcentration (% w/w)
Demineralised waterSolvent
PVA10
Beeswax40
Activated carbon1
Figure 1:

Fat phantom preparation steps. Created with Biorender.

Table 2:

Summarised composition of muscle phantom.

MaterialsConcentration (% w/w)
Demineralised waterSolvent
PVA15
Agar1.5
Graphite10
NaCl0.3
Figure 2:

Muscle phantom preparation steps. Created with Biorender.

Figure 3:

Healthy and pathological leg phantoms constituted by 3 layers: bone, muscle and fat.

Figure 4:

Fabrication steps of the anthropomorphic phantoms.

Figure 5:

Schematic of a standard measuring cell. Length d = 50 mm, inner surface area A = 4.52 cm2.

Figure 6:

Anthropomorphic leg BIS measurement setup.

Figure 7:

Preparation of samples for the study of the effect of cycle duration on the properties of PVA-C – ‘xD’ is used as a diminutive for ‘x’ days of freezing. Created with Biorender.

Figure 8:

Preparation of samples for the study of the effect of the number of cycles on the properties of PVA-C. Created with Biorender.

Figure 9:

Methods for reproducing anisotropy in the muscle phantom.

Figure 10:

Electrical properties of PVA-C as a function of the duration of the freezing cycle and the number of cycles.

Figure 11:

Shore 00 hardness evolution of a PVA-C sample.

Figure 12:

Heatmap – Relative deviation of the impedance modulus as a function of frequency – case of sample storage under vacuum in a refrigerator (4 °C).

Figure 13:

Average relative deviation of the impedance modulus over time – case of sample storage under vacuum in a refrigerator.

Figure 14:

Electrical properties of fat phantom: literature data (blue), mean values of the developed fat phantom (orange), and their variability range (grey). The influence of freezing duration (Fat xD) and number of freeze/thaw cycles (Fat cycle x) is also shown.

Table 3:

Relative difference between the electrical properties of the developed fat phantom (Fat 1D data) and the reference values reported by Gabriel et al. [23].

FrequencyConductivityPermittivity
1 kHz–39,53%–53,30%
10 kHz–38,72%–22,77%
100 kHz–38,28%0,40%
1 MHz–39,40%153,73%
Figure 15:

Evolution of the shore 00 hardness of the fat phantom as a function of the cycle parameters.

Figure 16:

Electrical properties of muscle phantom: literature data (blue), mean values of the developed muscle phantom (orange), and their variability range (grey). The influence of freezing duration (Muscle xD) and number of freeze/thaw cycles (Muscle cycle x) is also shown.

Table 4:

Relative difference between the electrical properties of the developed muscle phantom (Muscle 1D data) and the reference values reported by Gabriel et al. [23].

FrequencyConductivityPermittivity
1 kHz1,43%−59,32%
10 kHz−2,61%−53,58%
100 kHz−6,37%−21,24%
1 MHz−15,88%50,43%
Figure 17:

Evolution of the shore 00 hardness of the muscle phantom as a function of the cycle parameters.

Figure 18:

Comparison of electrical properties between the homogeneous muscle model and anisotropic variants.

Figure 19:

Comparison of the electrical properties of the homogeneous muscle model, anisotropic variants, and data from the literature.

Figure 20:

Connection between the muscle layer (black matter) and the layer of fat phantom (grey matter).

Figure 21:

Nyquist diagram – Measurements on small-scale physical models representing a healthy and lymphedema-mimicking leg configurations.

Language: English
Page range: 121 - 136
Submitted on: Apr 30, 2026
Published on: Sep 11, 2026
Published by: University of Oslo
In partnership with: Paradigm Publishing Services

© 2026 Anna Bublex, Amalric Montalibet, Bertrand Massot, Claudine Gehin, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.