Relationships of Pulse Waveform Parameters to Mood States and Chronic Fatigue

Abstract

These results suggest that PWPs are indicative of mood state and chronic fatigue associated with pathologic patterns in East Asian medicine. The results also showed significant gender differences.

Influential factors for pressure pulse waveform in healthy young adults

“…No difference of arrival time of dicrotic wave between genders was found in this study, which was different from the results in Park's work that the value of this parameter was higher in women than that in men [5]. Previous studies generally accepted the difference of pulse waveform between genders and analyzed the waveform separately [5], while this research focused on the main cause of pulse waveform and figured out the impact of gender is inferior to HR or SBP on time-related and amplitude-related parameters.…”

“…Previous studies generally accepted the difference of pulse waveform between genders and analyzed the waveform separately [5], while this research focused on the main cause of pulse waveform and figured out the impact of gender is inferior to HR or SBP on time-related and amplitude-related parameters. Unlike the population in Yim's work [8], no significant difference of HR was discovered between young men and young women in this demography.…”

“…The first and second derivatives of pulse wave were calculated to extract critical features [3][4][5]17]. The foot point and systolic peak were detected as a pair of zero-crossing points in the first derivative of pressure wave in each period [3,18].…”

“…For healthy adults, upper-limb pulse wave usually has three main peaks: systolic peak, tidal wave and dicrotic wave, as described in Figure 1 [4,5]. The discrepancy of pulse waveform between genders has been described by former studies [5][6][7][8], which, however, still remains a major bone of contention. Hayward, et al [7] indicated that augmentation index (AI) had a higher value in men than that in women; while Katsuhiko's finding [9] was against the result.…”

“…Besides gender-related difference, recent studies have also investigated a couple of intrinsic factors that would influence pulse waveform, for instance, aging, obesity, smoking, blood pressure, and exercise [5,8,[10][11][12][13][14]. However, most of these studies are concerned about insufficient variants of physical measurements associated with pulse waveform.…”