| Literature DB >> 26982454 |
Ramona Cabiddu1, Camila B F Pantoni2, Renata G Mendes1, Renata Trimer1, Aparecida M Catai2, Audrey Borghi-Silva1.
Abstract
BACKGROUND: Portable respiratory inductive plethysmography (RIP) systems have been validated for ventilatory assessment during resting conditions and during incremental treadmill exercise. However, in clinical settings and during field-based exercise, intensity is usually constant and submaximal. A demonstration of the ability of RIP to detect respiratory measurements accurately during constant intensity conditions would promote and validate the routine use of portable RIP devices as an alternative to ergospirometry (ES), the current gold standard technique for ventilatory measures.Entities:
Mesh:
Year: 2016 PMID: 26982454 PMCID: PMC4900041 DOI: 10.1590/bjpt-rbf.2014.0147
Source DB: PubMed Journal: Braz J Phys Ther ISSN: 1413-3555 Impact factor: 3.377
Average values of ventilatory parameters obtained during resting standing position and treadmill exercise using ES and RIP.
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| VT [mL] | 487.0±34.9 | 471.0±131.4 | 1030.5±134.5 | 1017.2±173.1 |
| RR [bpm] | 16.2±3.2 | 16.4±3.7 | 23.3±3.8 | 24.8±2.6 |
| VE [L/min] | 7.8±1.4 | 9.2±5.2 | 23.7±5.3 | 24.3±2.8 |
Data are presented as mean±SD. VT: tidal volume; RR: respiratory rate; VE: minute ventilation.
Figure 1.Bland-Altman plots showing agreement of the mean differences between (A) VT, (B) RR, and (C) VE average signals calculated over the signals measured using ES and RIP during the resting standing position and between (D) VT, (E) RR, and (F) VE average signals calculated over the signals measured using ES and RIP during the treadmill exercise. Rep: reproducibility index; M: mean; SD: standard deviation.
Figure 2.Correlation plots between (A) VT, (B) RR, and (C) VE average signals calculated over the signals measured using ES and RIP during the standing rest position and between (D) VT, (E) RR and (F) VE average signals calculated over the signals measured using ES and RIP during the treadmill exercise. r, correlation coefficient. For each correlation, regression lines are presented.