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Mimic Big Data and Low Power Infrastructure-based Small Blood Pressure Measurement for Internet of Things
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並列篇名 | Mimic Big Data and Low Power Infrastructure-based Small Blood Pressure Measurement for Internet of Things |
作者 | Soojeong Lee、Gwanggil Jeon |
英文摘要 | Although estimation of average arterial blood pressure is possible using oscillometric methods based on the internet of things (IOT), there are no established methods in the literature for obtaining confidence interval (CI) for systolic blood pressure (SBP) and diastolic blood pressure (DBP) estimates obtained from such measurements. This paper adopts bootstrap methodologies to build the CI with a small sample set of measurements. The proposed methodologies use multiple pseudo maximum amplitude (MPMA) and pseudo envelope (PE) using big measurement based on bootstrap principles with recursive approach to solve the bias of the pseudo maximum amplitude (PMA) in IOT. The SBP and DBP are derived using the new relationships between mean cuff pressure and PE and then the CIs for such estimates are obtained. Application of the proposed methodology on an experimental dataset of 85 patients with 5 sets of measurements for each patient yielded a tighter Cl than the conventional student t-method. |
起訖頁 | 315-322 |
關鍵詞 | Blood pressure oscillometric method confidence interval bootstrap、IOT |
刊名 | 網際網路技術學刊 |
期數 | 201901 (20:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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| MSMA/CA: Multiple Access Control Protocol for Cognitive Radio-Based IoT Networks |