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Introduction The wave condition number (WCN) is a non-dimensional number that determines the state of arterial wave reflections. WCN is equal to HR × L eff /PWV where HR, L eff , and PWV are the heart rate, effective length, and pulse wave velocity, respectively. It has been shown that a value of WCN = 0.1 indicates the optimum state of arterial wave reflection in which left ventricle workload is minimized. The pressure wave, flow wave, and PWV are all required to compute WCN, which may limit the potential clinical utility of WCN. The aims of this study are as follows: (1) to assess the feasibility of approximating WCN from the pressure waveform alone (WCN Pinf ), and (2) to provide the proof-of-concept that WCN Pinf can capture age related differences in arterial wave reflection among healthy women and men. Methods Previously published retrospective data composed of seventeen patients (age 19-54 years; 34.3 ± 9.6) were used to assess the accuracy of WCN Pinf . The exact value of WCN was computed from PWV (measured by foot-to-foot method), HR, and L eff . A quarter wavelength relationship with minimum impedance modulus were used to compute L eff . WCN Pinf was calculated using HR and the reflected wave arrival time. Previously published analyses from a healthy subset of the Anglo-Cardiff Collaborative Trial (ACCT) study population were used to investigate if non-invasive WCN Pinf captures age related differences in arterial wave reflection among healthy women and men. Results A strong correlation (r = 0.83, p-value