Optimal Short Distance Electrode Locations for Impedance Pneumography Measurement from the Frontal Thoracic Area

  • Vala Jeyhani
  • Tiina Vuorinen
  • Kai Noponen
  • Matti Mäntysalo
  • Antti Vehkaoja
Conference paper

DOI: 10.1007/978-3-319-32703-7_223

Part of the IFMBE Proceedings book series (IFMBE, volume 57)
Cite this paper as:
Jeyhani V., Vuorinen T., Noponen K., Mäntysalo M., Vehkaoja A. (2016) Optimal Short Distance Electrode Locations for Impedance Pneumography Measurement from the Frontal Thoracic Area. In: Kyriacou E., Christofides S., Pattichis C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham

Abstract

Electrical impedance pneumography signal is a valuable tool in qualifying better the person’s health condition. It can be used in monitoring of respiration rate, rhythm and tidal volume. Impedance pneumography has also the potential in ambulatory physiological monitoring systems that are increasingly often implemented using plaster-like on-body devices. In such cases, the area of electrode substrate may be limited and therefore, the electrode configuration, which is able to provide both a clinically valuable electrocardiogram signal and accurate pulmonary information, is an issue. EAS is a useful small area electrode configuration that can be used for electrocardiogram measurements. In this work, different two-electrode bipolar pairs of EAS system are tested for impedance pneumography measurements. Two additional electrodes are also considered in these tests. Our results show that the electrode pair S-A provides the most accurate respiration cycle length and is least affected by movement artifact. Additionally, the results show that this electrode pair produces the signals with highest amplitude.

Keywords

Pneumography Electrode Location Impedance Respiration 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Vala Jeyhani
    • 1
  • Tiina Vuorinen
    • 2
  • Kai Noponen
    • 3
  • Matti Mäntysalo
    • 2
  • Antti Vehkaoja
    • 1
  1. 1.Department of Automation Science and EngineeringTampere University of TechnologyTampereFinland
  2. 2.Department of Electronics and Communications EngineeringTampere University of TechnologyTampereFinland
  3. 3.Faculty of Information Technology and Electrical EngineeringUniversity of OuluOuluFinland

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