Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"Wrist blood flow signal-based computerized pulse diagnosis using spatial and spectrum features"
written by Dong-Yu Zhang, Wang-Meng Zuo, David Zhang, Hong-Zhi Zhang, Nai-Min Li,
published by Journal of Biomedical Science and Engineering, Vol.3 No.4, 2010
has been cited by the following article(s):
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[3] Multi-Feature Complementary Learning for Diabetes Mellitus Detection Using Pulse Signals
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[4] NA-MEMD Is Actually What You Need for Computational Pulse Analysis
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[5] Pulse (Nadi) Analysis for Disease Diagnosis: A Detailed Review
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[6] A Customized Preprocessing Framework for Ayurvedic Nadi Signals
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[7] Three-Dimensional Arterial Pulse Signal Acquisition in Time Domain Using Flexible Pressure-Sensor Dense Arrays
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[8] Disease Diagnosis Using Ayurvedic Pulse and Treatment Recommendation Engine
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[9] A prospective study to assess the association between emotion and disease: Wrist Pulse Signals
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[10] Using high-dimensional features for high-accuracy pulse diagnosis
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[11] Research of pulse signals mutual influence in polysphygmography of radiary arteries
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[12] Исследование взаимного влияния пульсовых сигналов в полисфигмографии лучевых артерий
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[13] Continuous non-invasive blood pressure monitoring via 3D force sensor and its applications in diagnostics
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[14] A Robust Wrist Pulse Acquisition System Based on Multisensor Collaboration and Signal Quality Assessment
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[15] A Novel Deep Learning Approach for Lung Cancer Recognition Based on 1-D Deep Convolutional Neural Network
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[16] UNDERSTANDING THE ADOPTION AND IMPACT OF INFORMATION TECHNOLOGY ON HEALTHCARE: CASE STUDIES IN ELECTRONIC HEALTH …
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[17] A machine learning method correlating pulse pressure wave data with pregnancy
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[18] A sensor-based wrist pulse signal processing and lung cancer recognition
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[19] Micro-piezoelectric pulse diagnoser and frequency domain analysis of human pulse signals
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[20] Detection of Saturation and Artifact
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[21] Optimized Preprocessing Framework for Wrist Pulse Analysis
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[22] Comparison Between Pulse and ECG
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[23] Compound Pressure Signal Acquisition
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[24] Comparison of Three Different Types of Wrist Pulse Signals
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[25] Characterization of Inter-Cycle Variations for Wrist Pulse Diagnosis
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[26] Introduction: Computational Pulse Diagnosis
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[27] Pulse Signal System: Sensing, Data Acquisition and Body Area Network
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[28] Assessing the blood pressure waveform of the carotid artery using an ultrasound image processing method
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[29] Feature Extraction of Wrist Pulse Signals using Gabor Spectrogram
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[30] Generalized Feature Extraction for Wrist Pulse Analysis: from 1-D Time Series to 2-D Matrix
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[31] Medical Biometrics: Computerized TCM Data Analysis
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[32] A robust signal preprocessing framework for wrist pulse analysis
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[33] Processing of Wrist Pulse Signals Using Linear and Nonlinear Techniques–A Review
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[34] 一種針對非侵入式連續血壓量測的方法
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[35] Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective
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[36] An objective review of the technological developments for radial pulse diagnosis in Traditional Chinese Medicine
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[37] Diagnosis of disease using wrist pulse signal for classification of pre-meal and post-meal samples
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[38] Acquisition of Radial Artery Pulses (NADI)
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[39] 生理参数变化对中医脉波图影响规律的研究
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[41] A Compound Pressure Signal Acquisition System for Multichannel Wrist Pulse Signal Analysis
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[42] Wrist Pulse Diagnosis Using Complex Network
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[43] Tendon-driven Mechanism Concept Design for Measuring Precise Pressure Pulse Wave
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[44] Comparison of Three Different Types of Wrist Pulse Signals by Their Physical Meanings and Diagnosis Performance
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[45] Computerized Cancer Diagnosis by the Digital Signal Processing (DSP) Techniques of the Pulse
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[46] Ephemeral Biometrics: What are they and what do they solve?
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[47] A comparison of three types of pulse signals: Physical meaning and diagnosis performance
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[48] Speaker Identification Using Empirical Mode Decomposition-Based Voice Activity Detection Algorithm under Realistic Conditions
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[49] Optic fiber pulse-diagnosis sensor of traditional Chinese medicine
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[50] Multiscale sample entropy analysis of wrist pulse blood flow signal for disease diagnosis
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[51] New Assessment Model of Pulse Depth Based on Sensor Displacement in Pulse Diagnostic Devices
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[52] Intrarater and interrater reliability of pulse examination in traditional Indian Ayurvedic medicine
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[53] 脉诊客观化研究综述
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[54] Fuzzy feature for traditional Chinese medical pulse data
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[55] The implementation of single channel ECG and dual channel pulse signals synchronous acquisition system
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[56] Arterial pressure pulse palpation with the Haptic Lens
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[57] MPDF: mobile pulse data format for traditional Chinese medical mHealthcare
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[58] MPD-Model: A Distributed Multipreference-Driven Data Fusion Model and Its Application in a WSNs-Based Healthcare Monitoring System
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[59] Handwritten character recognition via direction string and nearest neighbor matching
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[60] Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning
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[61] Novel diagnostic model for the deficient and excess pulse qualities
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[62] Novel diagnostic algorithm for the floating and sunken pulse qualities and its clinical test
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[63] EasiCPRS: design and implementation of a portable Chinese pulse-wave retrieval system
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[64] Classification of wrist pulse blood flow signal using time warp edit distance
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[65] EEG single-channel seizure recognition using Empirical Mode Decomposition and normalized mutual information
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