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Electrical Impedance Signal Analysis for Medical Diagnosis

  • Francisco Miguel Vargas LunaEmail author
  • Marco Balleza-Ordaz
  • María Raquel Huerta Franco
  • Pere Riu
Chapter

Abstract

Electrical bioimpedance (EBI) depends on physical, biological, or chemical characteristics of the biological sample. EBI measurements provide an alternative to observe in human and nonhuman subjects the following aspects: special features, biological changes compared with controls, different stages, changes in time, or any other issue to establish identification or association with a disease condition, stage, or evolution. Many researchers have addressed this relationship, with a huge amount of possibilities, for example, in body composition, skin and breast tumor/cancer, kidney problems, edema, in the quality and quantity of muscle/fat/water, in the case of lung function/condition, gastric motility, knee injuries, etc. How safe, accurate, sensitive, and specific are these alternatives in medical diagnosis is the subject of this chapter.

Scope: Without the aim of being exhaustive, the purpose of this chapter is to give a general overview on the use of electrical bioimpedance devices, methodologies, and signal analysis to the medical diagnosis. This chapter also comprises different options, to acquire, process, analyze, and interpret EBI data and/or parameters, with the intention to achieve, improve, or complement the diagnosis of a disease, the stage, or the determination of a physiological function monitoring. The aforementioned is important to clinical diagnosis and treatment. This chapter addresses handicaps, challenges, and of course the achievements of this goal, mainly in the most recent research work performed in the EBI area.

Keywords

Electrical bioImpedance Medical diagnosis Signal analysis Tomography Tissue characterization 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Francisco Miguel Vargas Luna
    • 1
    Email author
  • Marco Balleza-Ordaz
    • 1
  • María Raquel Huerta Franco
    • 2
  • Pere Riu
    • 3
  1. 1.Physical Engineering DepartmentUniversidad de GuanajuatoGuanajuatoMexico
  2. 2.Applied Science to WorkUniversidad de GuanajuatoGuanajuatoMexico
  3. 3.Departament d’Enginyeria ElectrònicaUniversitat Politecnica de CatalunyaBarcelonaSpain

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