2020
DOI: 10.1088/1361-6579/ab85cf
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A robust and novel electrical impedance metric of pulmonary function in ALS patients

Abstract: Objective: Pulmonary function tests (PFTs) are important for assessing respiratory function in amyotrophic lateral sclerosis (ALS) patients. However, weakness of oral and glottal closure, due to concomitant bulbar dysfunction, may result in unreliable PFT values stemming from leakage of air around the breathing tube and through the glottis. In this study, we assessed whether standard thoracic electrical impedance tomography (EIT) could serve as a surrogate measure for PFTs. Approach: Thoracic EIT was performed… Show more

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Cited by 8 publications
(2 citation statements)
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“…The resulting voltages and reconstructed regional impedance values reflect the volume changes of air and blood in the lung tissue (2). Chest EIT applications cover a broad field of clinical practice (3), including the treatment of acute respiratory distress syndrome (ARDS) (4), coronavirus disease 2019 (5)(6)(7), and acute exacerbation of chronic obstructive pulmonary disease under mechanical ventilation (8,9), as well as pulmonary function testing for patients with asthma, cystic fibrosis, and chronic obstructive pulmonary disease (10)(11)(12)(13).…”
Section: Introductionmentioning
confidence: 99%
“…The resulting voltages and reconstructed regional impedance values reflect the volume changes of air and blood in the lung tissue (2). Chest EIT applications cover a broad field of clinical practice (3), including the treatment of acute respiratory distress syndrome (ARDS) (4), coronavirus disease 2019 (5)(6)(7), and acute exacerbation of chronic obstructive pulmonary disease under mechanical ventilation (8,9), as well as pulmonary function testing for patients with asthma, cystic fibrosis, and chronic obstructive pulmonary disease (10)(11)(12)(13).…”
Section: Introductionmentioning
confidence: 99%
“…EIT images were produced of tidal breathing (differencing the average maximum inhale minus the maximum exhale) from recordings of 30 s of tidal breathing from each subject. The same impedance noise filtering described in Munir et al ( 2020 ) was used here. EIT images were produced by a one-step Gauss–Newton approach with standard Tikhonov regularization and normalized voltage data.…”
Section: Methodsmentioning
confidence: 99%