Literature DB >> 31945919

Measurement of Chest Physiological Signals using Wirelessly Coupled Bio-Impedance Patches.

Kaan Sel, Jialu Zhao, Bassem Ibrahim, Roozbeh Jafari.   

Abstract

Continuous monitoring of respiration and heart pressure pulse waves generated by lung and heart movements is essential in the diagnosis and management of cardiovascular and lung diseases. Traditional methods in measuring these physiological signals are not convenient for long-term monitoring during daily activities and sleeping due to their use of long wires and/or face masks, and leading to patients having to spend long duration in clinics while undergoing supervised monitoring. In this paper, we present a new method to measure global chest physiological signals using small-sized smart band-age like patches placed at different locations of the chest. The introduced patches communicate with each other using human body and detect small variations in the bio-Impedance (Bio-Z) depending on the mechanical heart and lung movements, where one patch injects an AC current from one side of the chest and several Bio-Z sensors measure the voltage difference across different locations of the chest. In order to prevent usage of long wires and increase convenience for wearable applications, electrical connection between current injection and Bio-Z sensing patches are eliminated. Independent component analysis is used to separate sources of physiological observations and improve accuracy of the system. We show that the presented system can successfully detect respiration rate and heart rate with an average error of 4.86% (less than 1 breath per minute) and 1.86% (less than 2 beats per minute) respectively tested on 6 healthy subjects over 6 minutes of data collection for each subject.

Entities:  

Year:  2019        PMID: 31945919     DOI: 10.1109/EMBC.2019.8857433

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  A Meta-Learning Approach for Fast Personalization of Modality Translation Models in Wearable Physiological Sensing.

Authors:  Ali Akbari; Jonathan Martinez; Roozbeh Jafari
Journal:  IEEE J Biomed Health Inform       Date:  2022-04-14       Impact factor: 7.021

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

Authors:  Kaan Sel; Deen Osman; Roozbeh Jafari
Journal:  IEEE Open J Eng Med Biol       Date:  2021-06-01

3.  A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders.

Authors:  Nathan C Hurley; Erica S Spatz; Harlan M Krumholz; Roozbeh Jafari; Bobak J Mortazavi
Journal:  ACM Trans Comput Healthc       Date:  2020-12-30
  3 in total

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