Time domain analysis of oxygen uptake during pseudorandom binary sequence exercise tests.
Pseudorandom binary sequence (PRBS) exercise tests involve repeated switching between two work rates (WR) according to a computer-generated pattern. This paper presents an approach to analysis of O2 uptake (VO2) in the time domain. First, the autocorrelation function (ACF) of the input WR was recognized to be a triangular-shaped pulse that can be taken to be equivalent to a ramp increase followed by a ramp decrease in WR. Then the cross-correlation function of the input (WR) and the output (VO2) was treated as if it were the response to a triangular-shaped pulse. The cross-correlation function was analyzed by fitting a linear summation of the ramp form of a two-component exponential function to this triangular pulse. VO2 responses of eight subjects were obtained from two different PRBS tests, as well as step changes in WR. The first PRBS test consisted of 15 units, each 30 s in duration. Its ACF had a base width of 60 s. The ramp increase-ramp decrease model fit the data throughout the range of response. The second PRBS test had 63 units, each 5 s in duration; thus its ACF base width was 10 s. Again, the ramp model fit adequately. The data from the second PRBS test could be fit by the impulse form of the two-component exponential equation, although the fit in the first 30 s tended to be poorer. The time constants of VO2 dynamics estimated from step and PRBS tests were not significantly different. PRBS tests can be analyzed in the time domain, and the indicators of system dynamics reflect physiological properties similar to those investigated during step changes in WR.
Hughson
R L
RL
Department of Kinesiology, University of Waterloo, Ontario, Canada.
Cuervo
L A
LA
Patla
A E
AE
Winter
D A
DA
Xing
H C
HC
Dietrich
B H
BH
Swanson
G D
GD
D000328:Adult; D005080:Exercise Test / Q000592:standards*; D006801:Humans; D007700:Kinetics; D008297:Male; D008954:Models, Biological; D010101:Oxygen Consumption / Q000502:physiology*; D013997:Time Factors