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Wrist Pulse Waveform Feature Extraction and Dimension Reduction with Feature Variability Analysis

Wrist Pulse Waveform Feature Extraction and Dimension Reduction with Feature Variability Analysis,10.1109/ICBBE.2008.841,Chunming Xia,Yan Li,Jianjun Y

Wrist Pulse Waveform Feature Extraction and Dimension Reduction with Feature Variability Analysis   (Citations: 4)
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    • ...carried on to diagnose diseases by analyzing wrist pulse signals [12, 16], while other approaches are made to recognize distinct pulse pattern [4, 8]. Wang [4] and Xia [6] attempt to extract features from the waveform of pulse data in time domain, while Zhang [9], Sareen [10] and Yan [11] try to analyze the wrist pulse wave based on wavelet destruction and reconstruction...

    Weitong Huanget al. Decision tree based sub-healthy states detection system

    • ...We compare the light-weight adaptive feature extraction algorithm with a typical derivative-based method[4] through extracting these five feature points on 56 healthy people’s pulse data...
    • ...Currently, most extraction methods of time domain features are derivative-based[4] [15]...

    Jibing Gonget al. PDhms: Pulse Diagnosis via Wearable Healthcare Sensor Network

    • ...Mikio Aritomo et al. have developed an arterial pulse system for continuous data acquisition in studies of resting heart rate and circadian rhythms [2-5]...

    Lisheng Xuet al. Variability Analysis on the Parameters of Pulse Wave

    • ...The reason to define two feature collections is because features within a collection are closely correlated [8], and thus common spectral components are argued to be good indexes...
    • ...Detailed information about segmentation algorithm and feature extraction algorithm can be found in [7,8]...

    Chunming Xiaet al. Wrist Pulse Feature Variability Analysis via Spectral Decomposition

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