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RETRACTED ARTICLE: Predictive analysis of identification and disease condition monitoring using bioimpedance data

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This article was retracted on 06 June 2022

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Abstract

Bio-impedance is the manner in which a person’s body opposes the applied alternating current in a unique manner. Acquired bio-impedance data is being used for diagnosis of critical diseases condition of various systems in human body. Electrode placement on body surface to sense impedance signal for various systems is unique format for each system. This paper first part focus on design of electrical bio-impedance based acquisition system with patient identification and later part deals with visualizing, analyzing and prediction of disease condition using software tools. Impedance data from 100 patients were acquired using designed system made with surface electrodes, signal generator with variable frequency and amplitude, Microcontroller board to process acquired data. Obtained impedance values at low frequencies are a good source of cardiac related information. Data obtained from bio impedance based multi-parameter monitoring system was visualized and analyzed for the prediction of age and disease condition. The validity of this system was made using intelligent diagnosis system based on IBM SPSS computational algorithms.

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Authors and Affiliations

  1. Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

    Sheeba Santhosh

  2. Department of ICE, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India

    A. Vimala Juliet

  3. Department of EEE, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India

    G. Hari Krishnan

Authors
  1. Sheeba Santhosh
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  2. A. Vimala Juliet
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  3. G. Hari Krishnan
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Correspondence to G. Hari Krishnan.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-04029-y"

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Santhosh, S., Juliet, A.V. & Krishnan, G.H. RETRACTED ARTICLE: Predictive analysis of identification and disease condition monitoring using bioimpedance data. J Ambient Intell Human Comput 12, 2955–2963 (2021). https://doi.org/10.1007/s12652-020-02452-7

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  • DOI: https://doi.org/10.1007/s12652-020-02452-7

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