Literature DB >> 29990025

Full Impedance Cardiography measurement device using Raspberry PI3 and System-on-Chip biomedical Instrumentation Solutions.

Abdelakram Hafid, Sara Benouar, Malika Kedir-Talha, Farhad Abtahi, Mokhtar Attari, Fernando Seoane.   

Abstract

Impedance Cardiography (ICG) is a non-invasive method for monitoring cardiac dynamics using Electrical Bioimpedance (EBI) measurements. Since its appearance more than 40 years ago, ICG has been used for assessing hemodynamic parameters. This paper present a measurement system based on two System on Chip (SoC) solutions and Raspberry PI, implementing both a full 3-lead ECG recorder and an impedance cardiographer, for educational and research development purposes. Raspberry PI is a platform supporting Do-It-Yourself project and education applications across the world. The development is part of Biosignal PI, an open hardware platform focusing in quick prototyping of physiological measurement instrumentation. The SoC used for sensing cardiac biopotential is the ADAS1000, and for the EBI measurement is the AD5933. The recording were wirelessly transmitted through Bluetooth to a PC, where the waveforms were displayed, and hemodynamic parameters such as heart rate, stroke volume, ejection time and cardiac output were extracted from the ICG and ECG recordings. These results show how Raspberry PI can be used for quick prototyping using relatively widely available and affordable components, for supporting developers in research and engineering education. The design and development documents, will be available on www.BiosignalPI.com, for open access under a Non Commercial-Share A like 4.0 International License.

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Year:  2017        PMID: 29990025     DOI: 10.1109/JBHI.2017.2783949

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  5 in total

1.  Automatic analysis of pre-ejection period during sleep using impedance cardiogram.

Authors:  Mohamad Forouzanfar; Fiona C Baker; Ian M Colrain; Aimée Goldstone; Massimiliano de Zambotti
Journal:  Psychophysiology       Date:  2019-03-05       Impact factor: 4.016

2.  Robust Longitudinal Ankle Edema Assessment Using Wearable Bioimpedance Spectroscopy.

Authors:  Samer Mabrouk; Sinan Hersek; Hyeon Ki Jeong; Daniel Whittingslow; Venu G Ganti; Paul Wolkoff; Omer T Inan
Journal:  IEEE Trans Biomed Eng       Date:  2019-07-10       Impact factor: 4.538

3.  Wearables for the Next Pandemic.

Authors:  Ava Hedayatipour; Nicole Mcfarlane
Journal:  IEEE Access       Date:  2020-10-06       Impact factor: 3.367

4.  Systematic Variability in ICG Recordings Results in ICG Complex Subtypes - Steps Towards the Enhancement of ICG Characterization.

Authors:  Sara Benouar; Abdelakram Hafid; Mokhtar Attari; Malika Kedir-Talha; Fernando Seoane
Journal:  J Electr Bioimpedance       Date:  2018-12-19

Review 5.  Measuring Biosignals with Single Circuit Boards.

Authors:  Guido Ehrmann; Tomasz Blachowicz; Sarah Vanessa Homburg; Andrea Ehrmann
Journal:  Bioengineering (Basel)       Date:  2022-02-21
  5 in total

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