Thoracic impedance is modulated by events within the respiratory cycle, whi
ch represents a source of "noise" in impedance cardiography. Respiration it
self, however, is a physiological rhythm of interest to psychophysiologists
. We report here methods and validation for deriving impedance pneumographi
c measures of respiration from impedance cardiography signals, based on sta
ndard tetrapolar band electrodes. We recorded the change in impedance (Delt
a Z), the first derivative of the change in impedance (dZ/dt), output from
a strain-gauge respirometer, and criterion spirometry from eight healthy ad
ults during rest, paced breathing, abdominal breathing, thoracic breathing,
and a mental arithmetic task. Transfer function analyses revealed that a D
elta Z(d) Signal (derived by integration of the dZ/dt signal) provided the
best estimate of the criterion spirometric measure for all parameters (cohe
rence, phase, and gain), accounting for almost 90% of the variance in respi
ratory waveform morphology. The results document thr potential utility of i
mpedance pneumography, as derived from standard impedance cardiography sign
als.