  Pulse feeling, representing the tactile arterial palpation of the heartbeat,
has been widely used in traditional Chinese medicine (TCM) to diagnose various
diseases. The quantitative relationship between the pulse wave and health
conditions however has not been investigated in modern medicine. In this paper,
we explored the correlation between pulse pressure wave (PPW), rather than the
pulse key features in TCM, and pregnancy by using deep learning technology.
This computational approach shows that the accuracy of pregnancy detection by
the PPW is 84% with an AUC of 91%. Our study is a proof of concept of pulse
diagnosis and will also motivate further sophisticated investigations on pulse
waves.
