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Digital thermal monitoring (DTM), which is a non-invasive detection method, is one of research hotspots on assessment of cardiovascular function. The purpose of this work is to primarily explore the relationship between pulse wave signal in digital thermal monitoring and cardiovascular diseases (CVDs).
A self-developed device was used to record the pulse wave signal in DTM. The pulse wave signal was obtained during 2-minute cuff inflation and 5-minute cuff deflation. Thirty six healthy control subjects (age 51.44±4.81 years, 38.9% male) and thirty patients (age 55.70±3.17 years, 50.0% male) underwent DTM. The envelopes were derived from pulse wave signal by Hilbert transformation. Area between envelopes may contain the information of CVDs. The area between envelops from the end of cuff inflation to 30 seconds later (ABEend30) was used to establish logistic regression model for evaluating CVDs.
ABEend30 was significantly higher in patients compared with healthy control group (P<0.001). Adjusted for age and systolic blood pressure, the odds ratio of patients compared with healthy control group was 3.24 for ABEend30 (P=0.013) in the logistic regression model. ROC curve area of logistic regression model was 0.868.
ABEend30 is related to CVDs, which could potentially be used to assess CVDs. To some extent, the logistic regression model could be used to evaluate CVDs.