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Statistical Methods for Bioimpedance Analysis

This chapter gives an overview of relevant statistical methods for the analysis of bioimpedance measurements, with an aim to answer questions such as How do I begin with planning an experiment How many measurements do I need to take How do I deal with large amounts of frequency sweep data Which statistical test should I use How do I validate my results  [Pg.371]

The topic of time-series is relevant for bioimpedance and especially bioelectricity analysis, but is not covered in this chapter on statistical methods. The methods covered are applicable for time-series after a suitable approach is employed for parameterization. All the examples in the text are given for bioimpedance measurements. [Pg.371]

AiVhen doing measurements, statistics are needed if we want to describe the data (descriptive statistics) or if we want to draw conclusions based on the data (inferential statistics). There is a vast amount of statistical methods in the literature, and the choice of method depends on what we want to know and what type of data we have. In this chapter, we will give an overview of the most basic and the most relevant methods for [Pg.371]

This section is based on Tronstad and Pripp (2014), with permission. [Pg.371]


Tronstad, C., Pripp, A.H., 2014. Statistical methods for bioimpedance analysis. J. Electr. Bioimp. 5, 14—27. [Pg.546]

Fourteen years have passed since the first edition of the book appeared. The content of a book like BBB adapts to the continuous progress in basic theory, geometrical analysis, reciprocity, black box modeling, biosignal preamplification, models and laws, statistical methods for bioimpedance analysis, nonlinear phenomena, electrical safety, and many other relevant topics. [Pg.580]


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