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  4. Pulse analysis system with a novice periodic function examination method on sepsis survival prediction
 
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Pulse analysis system with a novice periodic function examination method on sepsis survival prediction

Journal
Procedia Computer Science
Journal Volume
37
Pages
317-324
Date Issued
2014
Author(s)
Chen, W.
Wu, Z.-H.
Yang, C.-J.
Liao, Z.-K.
Lai, F.
CHIA-LIN HSU  
FEI-PEI LAI  
WEI-ZEN SUN  
DOI
10.1016/j.procs.2014.08.047
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930352013&doi=10.1016%2fj.procs.2014.08.047&partnerID=40&md5=1a7b03f7409daa801726dc738a9efbc7
https://scholars.lib.ntu.edu.tw/handle/123456789/531129
Abstract
This project proposes a pulse analysis system for doctors to diagnose their patients using their pulse signals. A novice and easy time-domain algorithm is applied to pulse signal for periodic function examination. Monitoring and modeling our body as a system with digitalized pulse signals is one of the linkages that we can find among Traditional Chinese Medicine (TCM), hemodynamics and modern Information Communication Technology (ICT). With the labeling of diseases or some modern Biomarkers, we are able to link pulse analysis, ICT and the latest medical science together. The proposed method is capable of calculating the instability of the pulse wave of subjects. After finding the starting point of each period in a periodic wave, we use set theory as the constraint to detect stable periodic wave. With normal heart rate checking and the variability of each period checking, our algorithm can detect whether the input signal is normal, stable and periodic. A coefficient that represents the instability is calculated by the average Standard Deviation (SD) of each period in the waveform. The proposed system helps the automation of pulse examination to select a proper segment for harmonic analysis. With the periodic function examination method, non-survival sepsis patients in Continuous Mandatory Ventilation (CMV) mode or Continuous Positive Airway Pressure (CPAP) mode can be significantly separated. © 2014 The Authors.
Subjects
Bioinformatics; EHealth; Sepsis; Traditional Chinese medicine
Publisher
Elsevier B.V.
Type
conference paper

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

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