The Hardening Characteristic Spectrum Analysis of Vascular Wall Elasticity Noninvasive Dynamic Information

Geng Haofei (), Gan Ping, Han Sheng, Huai Xian, Chen Lili, Deng Shixiong and Xiong Xingliang ()
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Geng Haofei: Chongqing Medical University
Gan Ping: Chongqing Medical University
Han Sheng: Chongqing Medical University
Huai Xian: Chongqing Medical University
Chen Lili: Chongqing Medical University
Deng Shixiong: Chongqing Medical University
Xiong Xingliang: Chongqing Medical University

A chapter in 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, 2013, pp 661-670 from Springer

Abstract: Abstract In the analysis of vascular wall dynamic information, typical oscillogram of pressure displacement wave of vascular wall (PDWVW) and speed wave information were gained from normal and patient groups, which were based on analysis theory of power spectrum. The analyzed results showed that the parameter G and H of signal A and D not only had statistical significance, but also were proportional to the elasticity of the vessel wall. So the two signals could be considered as the main characteristic parameters in quantitative diagnosis of the vascular walls elasticity diseases. It may have some clinical significance in quantitative diagnosis of early vascular diseases.

Keywords: Vascular wall dynamic information; Power spectrum analysis; Degree of elasticity (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34910-2_75

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DOI: 10.1007/978-3-642-34910-2_75

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