標(biāo)題: Titlebook: Computational Pulse Signal Analysis; David Zhang,Wangmeng Zuo,Peng Wang Book 2018 Springer Nature Singapore Pte Ltd. 2018 Computational Pu [打印本頁] 作者: Disclose 時間: 2025-3-21 19:09
書目名稱Computational Pulse Signal Analysis影響因子(影響力)
書目名稱Computational Pulse Signal Analysis影響因子(影響力)學(xué)科排名
書目名稱Computational Pulse Signal Analysis網(wǎng)絡(luò)公開度
書目名稱Computational Pulse Signal Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Pulse Signal Analysis被引頻次
書目名稱Computational Pulse Signal Analysis被引頻次學(xué)科排名
書目名稱Computational Pulse Signal Analysis年度引用
書目名稱Computational Pulse Signal Analysis年度引用學(xué)科排名
書目名稱Computational Pulse Signal Analysis讀者反饋
書目名稱Computational Pulse Signal Analysis讀者反饋學(xué)科排名
作者: 兇猛 時間: 2025-3-21 23:19
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.作者: neologism 時間: 2025-3-22 01:22
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作者: 死亡率 時間: 2025-3-22 07:17
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 作者: Mets552 時間: 2025-3-22 10:47
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.作者: surrogate 時間: 2025-3-22 12:54 作者: surrogate 時間: 2025-3-22 20:09
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 作者: 縮影 時間: 2025-3-23 00:16
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作者: 突變 時間: 2025-3-23 04:53
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作者: 造反,叛亂 時間: 2025-3-23 06:20 作者: 分散 時間: 2025-3-23 13:34 作者: 條約 時間: 2025-3-23 13:58
Detection of Saturation and Artifact. Some of the corrupted pulse signals can be recovered via preprocessing, but several types of corrupted pulse signals would be difficult to recover and should be removed from the pulse signal dataset. Therefore, low-quality pulse signal detection plays an important role in computational pulse diagn作者: 有斑點 時間: 2025-3-23 19:56 作者: Evacuate 時間: 2025-3-23 22:16
Arrhythmic Pulse Detection two rules, which are the results of heuristic approach, are presented. This approach is applied on 140 clinic pulses for detecting 7 pulse patterns, not only achieving a recognition accuracy of 97.1% as assessed by experts in TCM but also correctly extracting the periodical unit of the intermittent作者: refine 時間: 2025-3-24 05:25
Spatial and Spectrum Feature Extractionlected using Doppler ultrasound device and preprocessed. Then, by locating the fiducial points, we extract the spatial features of blood flow velocity signal and further present a Hilbert-Huang transform-based method for spectrum feature extraction. Finally, support vector machine is applied for com作者: 奇怪 時間: 2025-3-24 10:08 作者: intimate 時間: 2025-3-24 11:58 作者: 運動性 時間: 2025-3-24 15:37
Edit Distance for Pulse Diagnosise two novel ERP-based KNN classifiers. Taking advantage of the metric property of ERP, we first develop an ERP-induced inner product and a Gaussian ERP kernel, then embed them into difference-weighted KNN classifiers, and finally develop two novel classifiers for pulse waveform classification. The e作者: Recess 時間: 2025-3-24 22:45 作者: Exhilarate 時間: 2025-3-25 01:23 作者: 繼而發(fā)生 時間: 2025-3-25 05:55 作者: 文件夾 時間: 2025-3-25 08:34
Book 2018ensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastl作者: 小卒 時間: 2025-3-25 12:40 作者: anticipate 時間: 2025-3-25 17:02
Loss Functions and Their Risks,logy to make pulse diagnosis more objective. In this chapter, we will give an overview of computational pulse diagnosis. Firstly, the principle of pulse diagnosis and the traditional pulse diagnosis were introduced, and then the main concept of and the four stages of computational pulse diagnosis were introduced.作者: 簡潔 時間: 2025-3-25 23:47 作者: 表示向前 時間: 2025-3-26 00:39
https://doi.org/10.1007/978-3-319-41063-0P kernel, then embed them into difference-weighted KNN classifiers, and finally develop two novel classifiers for pulse waveform classification. The experimental results show that the proposed classifiers are effective for accurate classification of pulse waveform.作者: 切掉 時間: 2025-3-26 04:19 作者: 骯臟 時間: 2025-3-26 09:12
Spatial and Spectrum Feature Extraction signal and further present a Hilbert-Huang transform-based method for spectrum feature extraction. Finally, support vector machine is applied for computation pulse diagnosis. Experiment results show that the proposed method is effective and promising in distinguishing healthy people from patients with cholecystitis or nephritis.作者: cloture 時間: 2025-3-26 16:16
Edit Distance for Pulse DiagnosisP kernel, then embed them into difference-weighted KNN classifiers, and finally develop two novel classifiers for pulse waveform classification. The experimental results show that the proposed classifiers are effective for accurate classification of pulse waveform.作者: 鋸齒狀 時間: 2025-3-26 19:29
Book 2018researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research..作者: 擁護(hù)者 時間: 2025-3-26 23:10 作者: scotoma 時間: 2025-3-27 01:53
Advanced Statistical Analysis of SVMs (*),omplex network and detect the artifact by measuring the connectivity of the network. The experimental results show that the saturation and artifact detection method can both achieve better detection accuracy and better time resolution.作者: CAB 時間: 2025-3-27 06:01 作者: Aboveboard 時間: 2025-3-27 10:02
Two-Class Support Vector Machines, method, SimpleMKL, to combine heterogeneous features for more effective classification. Experimental results show that the proposed method is promising in integrating multiple types of pulse features to further enhance the classification performance.作者: 驚呼 時間: 2025-3-27 16:54 作者: 我悲傷 時間: 2025-3-27 21:07 作者: CYT 時間: 2025-3-28 00:40
Characterization of Inter-Cycle Variations for Wrist Pulse Diagnosis-cycle variations using the statistical properties on complex network. Experimental results show that the presented features are effective in characterizing both inter- and intra-cycle variations and can obtain better performance in pulse diagnosis.作者: JAMB 時間: 2025-3-28 04:53 作者: Carcinoma 時間: 2025-3-28 06:44 作者: 緯度 時間: 2025-3-28 12:49 作者: Indolent 時間: 2025-3-28 17:42 作者: cataract 時間: 2025-3-28 20:57
Modified Gaussian Models and Fuzzy C-Meanse selected features are fed to a Fuzzy C-Means (FCM) classifier for pattern classification. The proposed approach is tested on a dataset which includes pulse signals from 100 healthy persons and 88 patients. The results demonstrate the effectiveness of the proposed approach in computation wrist pulse diagnosis.作者: Bereavement 時間: 2025-3-29 02:29 作者: FEAT 時間: 2025-3-29 05:55 作者: Orgasm 時間: 2025-3-29 11:13 作者: phase-2-enzyme 時間: 2025-3-29 15:09 作者: 嗎啡 時間: 2025-3-29 17:30 作者: Conserve 時間: 2025-3-29 23:13 作者: 倔強(qiáng)一點 時間: 2025-3-30 02:01
Basic Statistical Analysis of SVMs,hes. We designed the multichannel sensor arrays structure and introduced the pulse analysis algorithm and classification methods. Experiments on disease classification are carried out to test the system performance with multichannel and different sensor arrays. The results show that the novel system作者: 磨坊 時間: 2025-3-30 04:08 作者: Gesture 時間: 2025-3-30 09:25
Advanced Statistical Analysis of SVMs (*),. Some of the corrupted pulse signals can be recovered via preprocessing, but several types of corrupted pulse signals would be difficult to recover and should be removed from the pulse signal dataset. Therefore, low-quality pulse signal detection plays an important role in computational pulse diagn作者: dry-eye 時間: 2025-3-30 15:51
Support Vector Machines Applicationsng including pulse denoising and baseline drift removal are introduced for more accurate wrist pulse analysis. However, these scattered methods are incomplete with some limitations when used to preprocess our special pulse data for the clinical applications. This chapter presents a robust signal pre作者: Intellectual 時間: 2025-3-30 19:04 作者: NIL 時間: 2025-3-30 22:14 作者: obstruct 時間: 2025-3-31 03:28
