Brian L. Graham
= Brian L. Graham
{c}
\b[<Brian L. Graham>] is first author of the 2019 official American Thoracic Society and European Respiratory Society statement standardizing <spirometry>. The document specifies equipment checks, acquisition quality and the definitions used to compare forced expiratory measurements.<Standardization of Spirometry 2019 Update by Brian L. Graham and others>[Title page, primary byline; Equipment and Device Quality Assurance; FVC Maneuver]{ref} Standardization connects an instrument's numerical output to a reproducible physiological observation.
A basic distinction is between <airflow> and accumulated expired <volume>. For a flow-sensing instrument with correct zero and a defined start time,
$$
V(T)=\int_0^T Q(t)\,dt.
$$
An original flow example takes $Q(t)=3e^{-t/2}\,\mathrm{L/s}$ for $t\ge0$, with $t$ expressed in seconds. It gives $V(T)=6(1-e^{-T/2})$ L, about 2.36 L at one second and 5.19 L at four seconds. The model is not a reference human expiratory curve; it illustrates why a time-specific volume and the initial flow rate are different quantities.
If the flow estimate has a constant zero error $b$, integration adds $bT$ to the volume. A stipulated $b=0.020\,\mathrm{L/s}$ adds 0.080 L over four seconds even if repeated samples of the same biased flow are very precise. Gain errors and timing errors have different effects and need separate checks.
The primary statement describes <spirometer calibration verification> with a 3-L syringe at multiple flow rates.<Standardization of Spirometry 2019 Update by Brian L. Graham and others>[Calibration and Quality Control, printed p.e75; Table 3]{ref} Testing several delivery rates addresses more than matching one number at one speed. It probes whether the measurement system gives compatible integrated volumes across its specified operating conditions. This is <measurement calibration> and quality assurance, not a diagnosis from a hypothetical flow curve.
Graham's documented contribution is the shared technical framework that makes these observations comparable. Instrument response, zero setting, acquisition quality and quantity definitions remain relevant even when a computer performs the integration automatically.