Applying the Distributional Data Analysis Tool of Heart Rate Density with Collected Daily Heart Rate Data from the Past 10-Years from a Type-2 Diabetes Patient to Investigate a Part of Heart Health Conditions Based on GH-Method: Math-Physical Medicine (No. 514)

Abstract

Gerald C Hsu

Recently, the author conducted a series of medical research projects by applying a distributional data density analysis tool on his glucose, weight, blood pressure, and heart conditions by using his collected big data regarding certain biomarkers over the past multiple years. In this article, he only utilizes the collected biomarker data, resting heart rate in early morning, from himself, where the data covers a long time span of 7.5 years for this particular study. Furthermore, he can interpret the results and explore more information since he is most familiar with his own health conditions. The finding regarding his own body is definitely applicable to other patients. The main purpose of writing this series of research articles is to demonstrate the applicability and power of using this specific distributional data density analysis tool.

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