Titlebook: Computational Pulse Signal Analysis; David Zhang,Wangmeng Zuo,Peng Wang Book 2018 Springer Nature Singapore Pte Ltd. 2018 Computational Pu

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兇猛

Support Vector Machines for Classification,rphology filter, and linear-phase finite impulse response (FIR) least-squares-error digital filter, the experimental results on 50 simulated and 500 real pulse signals demonstrate the power of CAF filter both in removing baseline drift and in preserving the diagnostic information of pulse waveforms.

neologism

Support Vector Machines Applicationsframework is validated through experiments on actual pulse records with biochemical markers. Both quantitative and qualitative results are given. The results show that the proposed pulse preprocessing framework is effective in extracting more accurate pulse features and practical for wrist pulse ana

死亡率

Manel Martínez-Ramón,Christos Christodouloulse signal database collected using a Doppler ultrasound device. The classification accuracy is over 82% in distinguishing healthy persons from patients with acute appendicitis and over 90% for other diseases. These results indicate a great promise of the proposed method in telling healthy subjects

Mets552

Baseline Wander Correction in Pulse Waveforms Using Wavelet-Based Cascaded Adaptive Filterrphology filter, and linear-phase finite impulse response (FIR) least-squares-error digital filter, the experimental results on 50 simulated and 500 real pulse signals demonstrate the power of CAF filter both in removing baseline drift and in preserving the diagnostic information of pulse waveforms.

surrogate

surrogate

Modified Auto-regressive Modelslse signal database collected using a Doppler ultrasound device. The classification accuracy is over 82% in distinguishing healthy persons from patients with acute appendicitis and over 90% for other diseases. These results indicate a great promise of the proposed method in telling healthy subjects

縮影

Introduction: Computational Pulse Diagnosisive skill which needs years of training and practice to master. Computational pulse diagnosis intends to employ some modern sensor and computer technology to make pulse diagnosis more objective. In this chapter, we will give an overview of computational pulse diagnosis. Firstly, the principle of pul

突變

Compound Pressure Signal Acquisitionhe patient to adaptively feel the fluctuations in the radial pulse at the styloid processes. Thus, for comprehensive pulse signal acquisition, we should efficiently and accurately capture pulse signals at different positions and under different pressures. However, most conventional pulse signal acqu

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