Non-Invasive Cardiac and Respiratory Activity Assessment From Various Human Body Locations Using Bioimpedance

<italic>Objective:</italic> Bioimpedance sensing is a powerful technique that measures the tissue impedance and captures important physiological parameters including blood flow, lung movements, muscle contractions, body fluid shifts, and other cardiovascular parameters. This paper presen...

Full description

Saved in:
Bibliographic Details
Main Authors: Kaan Sel, Deen Osman, Roozbeh Jafari
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9444791/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:<italic>Objective:</italic> Bioimpedance sensing is a powerful technique that measures the tissue impedance and captures important physiological parameters including blood flow, lung movements, muscle contractions, body fluid shifts, and other cardiovascular parameters. This paper presents a comprehensive analysis of the modality at different arterial (ulnar, radial, tibial, and carotid arteries) and thoracic (side-rib cage and top thoracolumbar fascia) body regions and offers insights into the effectiveness of capturing various cardiac and respiratory activities. <italic>Methods:</italic> We assess the bioimpedance performance in estimating inter-beat (IBI) and inter -breath intervals (IBrI) on six-hours of data acquired in a pilot-study from five healthy participants at rest. <italic>Results:</italic> Overall, we achieve mean errors as low as 0.003 &#x00B1; 0.002 and 0.67 &#x00B1; 0.28 seconds for IBI and IBrI estimations, respectively. <italic>Conclusions:</italic> The results show that bioimpedance can be effectively used to monitor cardiac and respiratory activities both at limbs and upper body and demonstrate a strong potential to be adopted by wearables that aim to provide high-fidelity physiological sensing to address precision medicine needs.
ISSN:2644-1276