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Fig. 2 | BioMedical Engineering OnLine

Fig. 2

From: A personalised prosthetic liner with embedded sensor technology: a case study

Fig. 2

Example of the linear regression for the temperature (T) (left) and the relative humidity (RH) (right) measured by one iButton and the climate chamber during the calibration process. Considering all the iButtons, the linear regression resulted in a mean slope coefficient equal to 1.00 ± 0.01 for the temperature (range: 0.89–1.07) and to 0.88 ± 0.013 for the relative humidity (range: 0.83–0.91). The mean intercept was 0.36 ± 0.11 for the temperature (range: − 1.84 to 4.87) and 6.98 ± 0.51 for the relative humidity (range: 5.70–9.12)

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