Correlation of Forced Expiratory Time with Anthropometric and Spirometric Indices
نویسندگان
چکیده
منابع مشابه
Forced expiratory indices in normal Libyan men.
Forced vital capacity (FVC), forced expiratory volume in one second (FEV1), forced expiratory ratio in the first second (FEV1% VC), forced expiratory flow between 200 and 1200 ml (FEF200-1200), and forced mid expiratory flow between 25% and 75% of FVC (FMF) were measured in 275 Libyan men ranging from 20 to 60 years. All values were lower with increasing age and, apart from FEV1% VC, were posit...
متن کاملChange in forced expiratory time and spirometric performance during a single pulmonary function testing session.
BACKGROUND Among patients with obstructive lung disease, the correlation between clinical improvement and bronchodilator response is poor. Forced expiratory time (FET) may explain some discrepancy, but FET has received little attention. METHODS We analyzed change in FET during the 3 initial satisfactory flow-volume loops in 102 consecutive patients, 37 with normal spirometry and 65 with airfl...
متن کاملTransit time indices derived from forced expiratory spirograms: repeatability and criteria for curve selection and truncation.
Transit time analysis applied to spirograms truncated with respect to volume, not time, could be informative in population surveys. The present paper asks the questions: How does averaging several forced expirations affect the within subject variability at different levels of truncation? If only one spirogram is analysed, how should it be chosen? Are the results likely to be influenced by prior...
متن کاملPrediction of Spirometric Forced Expiratory Volume (FEV1) Data Using Support Vector Regression
In this work, prediction of forced expiratory volume in 1 second (FEV1) in pulmonary function test is carried out using the spirometer and support vector regression analysis. Pulmonary function data are measured with flow volume spirometer from volunteers (N=175) using a standard data acquisition protocol. The acquired data are then used to predict FEV1. Support vector machines with polynomial ...
متن کاملPattern Recognition and Forced Expiratory Volume (FEV1) Spirometric Data Prediction by Support Vector Machine
A spirometer is an apparatus for measuring the volume of air inspired and expired by the lungs. Spirometry is one of the most widely applied clinical tests in respiratory medicine to diagnose obstructive and to rule out restrictive pulmonary diseases. A key parameter of spirometric lung function tests is forced vital capacity (FVC) and Forced expiratory volume in 1 second (FEV1). In this work, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
سال: 2019
ISSN: 2249-782X
DOI: 10.7860/jcdr/2019/38007.12469