Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining.

ABSTRACT: Hypertension is one of the most common cardiovascular diseases, which will cause severe complications if not treated in a timely way. Early and accurate identification of hypertension is essential to prevent the condition from deteriorating further. As a kind of complex physiological state, hypertension is hard to characterize accurately. However, most existing hypertension identification methods usually extract features only from limited aspects such as the time-frequency domain or non-linear domain. It is difficult for them to characterize hypertension patterns comprehensively, which results in limited identification performance. Furthermore, existing methods can only determine whether the subjects suffer from hypertension, but they cannot give additional useful information about the pat

SUBMITTER: Liu F 

PROVIDER: S-EPMC6480150 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature