We sought a noninvasive alternative method of monitoring peripheral vascula
r resistance continuously in humans, based on the analysis of arterial pres
sure waveforms, Radial arterial pressure waveforms were recorded noninvasiv
ely with a tonometer and analysed using a neural network method. To test th
e accuracy of this method, the peripheral vascular resistance was also dete
rmined by an invasive thermodilution method using a Swan-Ganz catheter in 2
0 subjects. To test the method in a clinical application, peripheral vascul
ar resistance was determined by the noninvasive method before and after adm
inistration of nifedipine in 6 patients with essential hypertension. Neural
network analysis of waveforms reliably yielded values between 0.00 and 1.0
0. Peripheral vascular resistance :determined by neural network analysis an
d according to the invasive method showed a significant (p < 0.005) positiv
e linear correlation. The peripheral vascular resistance measured by neural
network analysis showed a significant (p < 0.05) decrease 30 min after adm
inistration of nifedipine, paralleling a decrease in blood pressure, Neural
network analysis of tonometric radial artery waveforms provides an accurat
e, noninvasive, and continuous index of peripheral vascular resistance in h
uman subjects. This simple method should permit more extensive homodynamic
studies and larger epidemiological surveys in contrast to those undertaken
using invasive techniques.