Literature DB >> 32746014

Combining Bioimpedance and Myographic Signals for the Assessment of COPD During Loaded Breathing.

Dolores Blanco-Almazan, Willemijn Groenendaal, Manuel Lozano-Garcia, Luis Estrada-Petrocelli, Lien Lijnen, Christophe Smeets, David Ruttens, Francky Catthoor, Raimon Jane.   

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is one of the most common chronic conditions. The current assessment of COPD requires a maximal maneuver during a spirometry test to quantify airflow limitations of patients. Other less invasive measurements such as thoracic bioimpedance and myographic signals have been studied as an alternative to classical methods as they provide information about respiration. Particularly, strong correlations have been shown between thoracic bioimpedance and respiratory volume. The main objective of this study is to investigate bioimpedance and its combination with myographic parameters in COPD patients to assess the applicability in respiratory disease monitoring. We measured bioimpedance, surface electromyography and surface mechanomyography in forty-three COPD patients during an incremental inspiratory threshold loading protocol. We introduced two novel features that can be used to assess COPD condition derived from the variation of bioimpedance and the electrical and mechanical activity during each respiratory cycle. These features demonstrate significant differences between mild and severe patients, indicating a lower inspiratory contribution of the inspiratory muscles to global respiratory ventilation in the severest COPD patients. In conclusion, the combination of bioimpedance and myographic signals provides useful indices to noninvasively assess the breathing of COPD patients.

Entities:  

Mesh:

Year:  2020        PMID: 32746014     DOI: 10.1109/TBME.2020.2998009

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach.

Authors:  Jonathan Moeyersons; John Morales; Nick Seeuws; Chris Van Hoof; Evelien Hermeling; Willemijn Groenendaal; Rik Willems; Sabine Van Huffel; Carolina Varon
Journal:  Sensors (Basel)       Date:  2021-04-08       Impact factor: 3.576

2.  Data Augmentation and Transfer Learning for Data Quality Assessment in Respiratory Monitoring.

Authors:  Andrea Rozo; Jonathan Moeyersons; John Morales; Roberto Garcia van der Westen; Lien Lijnen; Christophe Smeets; Sjors Jantzen; Valerie Monpellier; David Ruttens; Chris Van Hoof; Sabine Van Huffel; Willemijn Groenendaal; Carolina Varon
Journal:  Front Bioeng Biotechnol       Date:  2022-02-14

3.  A low-cost, portable, two-dimensional bioimpedance distribution estimation system based on the AD5933 impedance converter.

Authors:  Juan D Muñoz; Víctor H Mosquera; Carlos F Rengifo
Journal:  HardwareX       Date:  2022-02-08
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.