Published Papers

2008

Xu L.S., Max Q.-H. Meng and H.L. Ren, "Applicability of Homogeneous Human Trunk Phantom in Estimating the Radiation Characteristics of Body-worn Devices," International Journal of Information Acquisition. March 2008, 5(1): 65-82.

Xu L.S., Max Q.-H. Meng and K.Q. Wang, "Pulse Image Recognition Using Fuzzy Neural Network," Expert Systems With Applications, http://dx.doi.org/10.1016/j.eswa.2008.02.028

 

Xu L.S., Max Q.-H. Meng, H.L. Ren, Y.W. Chan, "Radiation Characteristics of Ingested Wireless Device at Frequencies from 430 MHz to 3 GHz, "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008, pp. 1250-1253.

 

Xu L.S., Max Q.-H. Meng, R. Liu, K.Q. Wang, "Robust Peak Detection of Pulse Waveform Using Height Ratio," Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008, pp. 3856-3859.

 

Xu L.S., Max Q.-H. Meng Y.W. Chan, C. Hu and H.B. Wang, "Influence of Anesthetic and Dead Animal Bodies on Ingested Wireless Device," Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 2-5, 2008, Xi’an China, pp. 176-180.

 

Xu L.S., Max Q.-H. Meng, C. Shi, K.Q. Wang, N.M. Li, "Quantitative Analyses of Pulse Images in Traditional Chinese Medicine," Medical Acupuncture. September 1, 2008, 20(3): 175-189. http://www.liebertonline.com/doi/abs/10.1089/acu.2008.0632

 

Xu L.S., Max Q.-H. Meng, H.L Ren, and Y.W. Chan, "Radiation Characteristics of Ingestible Wireless Devices in Human Intestine Following Radio Frequency Exposure at 430, 800, 1200 and 2400 MHz, "  Accepted by IEEE Transactions on Antennas and Propagation, 2008.

 

Xu L.S., Max Q.-H. Meng, and Y.W. Chan, "Effects of Dielectric Parameters of Human Body on Radiation Characteristics of Ingestible Wireless Device at Operating Frequency of 430 MHz," To appear in IEEE Transactions on Biomedical Engineering.

 

Xu L.S., Max Q.-H. Meng, X.H. Qi, K.Q. Wang, "Morphology Variability Analysis of Wrist Pulse Waveform for Assessment of Arteriosclerosis Status," Accepted by Journal of Medical Systems.

2007

Xu, L.S., and D. Zhang, "Baseline Wander Correction in Pulse Waveforms Using Wavelet-Based Cascaded Adaptive Filter," Computers in Biology and Medicine.Vol 37, No 5, May 2007, pp. 716-731. [pdf] [Matlab code]

Abstract: Pulse diagnosis is a convenient, inexpensive, painless, and non-invasive diagnosis method. Quantifying pulse diagnosis is to acquire and record pulse waveforms by a set of sensor firstly, and then analyze these pulse waveforms. However, respiration and artifact motion during pulse waveform acquisition can introduce baseline wander. It is necessary, therefore, to remove the pulse waveform’s baseline wander in order to perform accurate pulse waveform analysis. This paper presents a wavelet-based cascaded adaptive filter (CAF) to remove the baseline wander of pulse waveform. To evaluate the level of baseline wander, we introduce a criterion: energy ratio (ER) of pulse waveform to its baseline wander. If the ER is more than a given threshold, the baseline wander can be removed only by cubic spline estimation; otherwise it must be filtered by, in sequence, discrete Meyer wavelet filter and the cubic spline estimation. Compared with traditional methods such as cubic spline estimation, morphology filter and Linear-phase 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 wander and in preserving the diagnostic information of pulse waveforms. This CAF filter also can be used to remove the baseline wander of other physiological signals, such as ECG and so on.

 

Xu, L.S., Max Q.-H. Meng and H.L. Ren, "Effect of Subject Size on Electromagnetic Radiation from Source in Human Body Following 2450MHz Radio Frequency Exposure," The proceedings of the 2007 IEEE International Conference on Integration Technology, 20-23 March 2007, pp. 326-329.

 

Xu, L.S., Max Q.-H. Meng and K.Q. Wang, "Pulse Image Recognition Using Fuzzy Neural Network," The proceedings of the 29th International Conference of the IEEE Engineering in Medicine and Biology Society, 22-26 Aug. 2007 pp. 3148-3151. .

 

Xu, L.S., Max Q.-H. Meng and H.L. Ren, "Variation of Radiation Effects and Signal Efficiency with Distance between Electromagnetical Source and Trunk Model," The proceedings of the 29th International Conference of the IEEE Engineering in Medicine and Biology Society, 22-26 Aug 2007, pp. 1184-1187.

 

H.L. Ren, Max Q.-H. Meng, L.S. Xu, "Indoor Patient Position Estimation Using Particle Filtering and Wireless Body Area Networks," The proceedings of the 29th International Conference of the IEEE Engineering in Medicine and Biology Society, 22-26 Aug 2007, pp. 2277-2280.

 

Max Q.-H. Meng, C. Hu, X.N. Wang, L.S. Xu, T.X. Ma, "Method and System for Tracking and Location of the Micro-device in Human Body," Chinese Patent, Application No. 200710074398.3（Invention Patent）Applied on May.18th 2007 (In Chinese)

2006

Xu, L.S., D. Zhang, and K.Q. Wang, and L. Wang, "Arrhythmic Pulses Detection Using Lempel-Ziv Complexity Analysis," EURASIP Journal on Applied Signal Processing 2006 (2006), Article ID 18268, 12 pages.[pdf]

Abstract: Computerized pulse analysis based on traditional Chinese medicine (TCM) is relatively new in the field of automatic physiological signal analysis and diagnosis. Considerable researches have been done on the automatic classification of pulse patterns according to their features of position and shape, but because arrhythmic pulses are difficult to identify, until now none has been done to automatically identify pulses by their rhythms. This paper proposes a novel approach to the detection of arrhythmic pulses by using the Lempel-Ziv complexity analysis. Four parameters, one lemma, and two rules, which are the results of heuristic approach, are presented. This approach is applied on 140 clinic pulses for detecting seven 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 pulse.

 

D. Zhang, K.Q. Wang, and Xu, L.S., "The Approaches to Extracting the Features of Chinese Pulse Image, "Chinese Patent, Pending number: 200610009639.1(In Chinese [pdf])(No Abstract)

 

Xu L.S.,  K.Q. Wang,  L Wang,  N.M. Li, "Pulse Contour Variability before and after Exercise, "Accepted by 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), to be held on 22-23 June 2006 in Salt Lake City, Utah USA.

Abstract: This paper compares the radial artery pulses of 105 young graduate students. The radial artery pulses after performing progressive ergometer for five minutes are different from those at rest. All the pulses become floating and fast. The contours of pulses have three kinds of variability. The incisures of 39 subjects become especially low; sometimes the incisures are lower than the onset of pulse waveform. The tidal waves and dicrotic waves of 32 subjects become higher. The pulses of 34 subjects become smooth. Their incisures and dicrotic waves become lower. These changes can instruct the exercise and training of the young students and athletes.

 

2005

Xu, L.S., D. Zhang, and K.Q. Wang, "Wavelet-based Cascaded Adaptive Filter for Removing Baseline Drift in Pulse Waveforms, "IEEE Trans. BME, Nov. 2005, pp. 1973-1975.[pdf]

Abstract: This paper presents an energy ratio-based method and a wavelet-based cascaded adaptive filter (CAF) for detecting and removing baseline drift from pulse waveforms. Experiments on 50 simulated and five hundred real pulse signals demonstrate that this CAF outperforms traditional filters both in removing baseline drift and in preserving the diagnostic information of pulse waveforms.

 

Xu, L.S., K.Q. Wang and L. Wang, "Pulse Waveforms Classification Based on Wavelet Network, "27th IEEE EMBS, Shanghai, China, 01-04 Sept. 2005, pp.4596 - 4599.[pdf]

Abstract: This paper proposes a new algorithm to classify pulse waveforms based on discrete wavelet network. This paper selects 4-order discrete Daubechies wavelet as the wavelet node of this wavelet network to classify six pulse patterns distinctive in shape. 600 pulse records are used to train this wavelet network and 300 pulse records are used to test the classifier’s performance. The test results show that this approach has 83% agreement rate with the experienced experts. Compared with traditional classificationmethods, it needs not the experience in feature extraction.

 

Wang L., K.Q. Wang, and Xu, L.S., "Lempel-Ziv Decomposition Based Arrhythmic Pulses Recognition, "27th IEEE EMBS, Shanghai, China, 01-04 Sept. 2005, pp. 4606 - 4609.[pdf]

Abstract: The computerization of traditional Chinese pulse diagnosis (TCPD) is relatively new in the field of automatic physiological signal analysis and diagnosis. The classification of pulse patterns according to their positions and shapes have been intensively investigated, but until now no research in identifying pulses by their rhythms has been found. This paper introduces a method to distinguish rhythmic and arrhythmic pulse patterns and further, applies the Lempel-Ziv decomposition to classify arrhythmic pulses. In the experiment on 140 clinic pulses, our approach was able to classify pulses by their rhythms with an accuracy of 90.7%.

 

Xu, L.S., K.Q. Wang and L. Wang, "Gaussian Kernel Approximate Entropy Algorithm For Analyzing Irrigularity of Time-Series, "Proceedings of IEEE International Conference on Machine Learning and Cybernetics, 2005, pp. 5605-5608.[pdf]

Abstract: Approximate entropy (ApEn) has been widely used to analyze the complexity of time series. However, the inconsistency that ApEn exhibits not only limits its applications but also raises questions about its validity. Addressing this issue, this paper presents a novel Gaussian kernel approximate entropy (GApEn) algorithm. The experimental results demonstrate that GApEn performs better than ApEn in terms of relative consistency, stability and statistical accuracy.

 

Patent "An Automatic Three-Position, Multipoint, Pulse Image Detection Device, "Submitted to USA Patent. (No Abstract)

Patent "Pulse Detection in Traditional Chinese Medicine Using Multiple (pressure / photoelectric / ultrasonic) Sensor, "Submitted to USA Patent.(No Abstract)

 

D. Zhang, K.Q. Wang, and Xu, L.S., "The Chinese Pulse Image Acquisition Device Which Can Automatically Adjust the Contact Pressure, "Chinese Patent, Pending number: 200520036985.X (In Chinese [pdf]) (No Abstract)

 

2004

Xu, L.S., K.Q. Wang, and D. Zhang, "Modern Researches on Traditional Chinese Pulse Diagnosis, "European Journal of Oriental Medicine, vol.4, no.6, pp. 46-54, Winter 2004.(No Abstract)[pdf]

 

Wang, L., K.Q. Wang, and L.S. Xu, "Recognizing wrist pulse waveforms with improved dynamic time warping algorithm, "Proceedings of 3rd IEEE ICMLC, Shanghai, 26-29 Aug 2004, pp. 3644-3649. [pdf]

Abstract: This paper proposes an improved DTW algorithm to recognize pulse waveform. Our approach avoids the pathologic alignment that can be caused by original DTW algorithm and DDTW algorithm. Extensive experiments on 1000 pulse waveforms demonstrate the effect of our approach. Compared with original DTW and DDTW algorithms, our algorithm reduces the FRR and FAR greatly. By calculating the variabilities between the pulse sample and the five pulse templates, our approach has 92.3% agreement rate with experts.

 

Wang, K.Q., L. Wang, L.S. Xu, D.H. Wang, "SVM Classification for Discriminating Cardiovascular Disease Patients from Non-cardiovascular Disease Controls Using Pulse Waveform Variability Analysis, "17th Australian Computer Society (ACS) Australian Joint Conference on Artificial Intelligence, 2004, pp. 109-119.(No Abstract)

 

Wang, L., L.S. Xu, and K.Q. Wang, "Wrist Pulse Waveform Variability Analysis, "Proceedings of the WEC2004, China Science and Technology Press, Shanghai, China, November 2 - 6, 2004, vol. B, pp.247-250.(No Abstract)[pdf]

 

Xu,L.S. et al., “Physiological Research into the Pulse Waveforms of 105 Young Students, "Proceedings of 7th national conference of national conference of integrated medicine, Urumchi, 2004. pp. 86-88. (In Chinese)(No Abstract)

 

2003

L.S. Xu, K.Q. Wang, D. Zhang, Y.S. Li, Z.J. Wan, J. Wang, "Objectifying Researches on Traditional Chinese Pulse Diagnosis," Informatica Medica Slovenica 2003, August, pp56-63 [pdf]

Abstract: This paper describes our recent researches on objectifying of Traditional Chinese Pulse Diagnosis (TCPD) by means of some modern signal processing methods. In order to demystify TCPD and prove its efficiency, its significance, theory and features are briefed firstly. Secondly, a survey of recent developments in the researches of TCPD is provided. Thirdly, our researches on baseline removal, monitoring of the pulse and the feature extraction of the pulse are introduced. Furthermore, our pulse acquisition diagnosis system is presented. Finally, the prosperities and future works are also pointed out.

 

 

K.Q. Wang, L.S. Xu and D. Zhang, "Approximate Entropy Based Pulse Variability Analysis," Proceedings of the IEEE Symposium on Computer-Based Medical Systems, 2003, p 236-241, [pdf]

Abstract: The dynamical analysis of pulse variability gives new insight into researches of cardiovascular system's dynamics. Firstly, long-term pulse variability analysis for the researches on cardiovascular system was proposed. Secondly, approximate entropy was applied to analyze three groups of long-term pulse waveform's variabilities and we found that the pulses' approximate entropies of patients with cardiovascular disease preferred to smaller value and less irregularity. What's more, the pulse variability of the patient with pacemaker newly implanted was also studied. Finally, the pulse variability's clinical value for cardiovascular system was concluded. (7 refs.)

 

 

K.Q. Wang, L.S. Xu, "Pulse Baseline Wander Removal Using Wavelet Approximation," Proceedings of the 30th annual meeting of Computers in Cardiology, 2003

Abstract: Pulse waveform is the key to the Traditional Chinese Pulse Diagnosis. However, its baseline wander introduced in the acquisition may result in misdiagnosis. What’s more, recent advancements in the pulse variability analysis require more accuracy of baseline estimation. In this paper, a wavelet based cascaded adaptive filter (CAF) was presented to remove this drift. The CAF works in two stages. The first stage is a discrete Meyer wavelet approximation and the second stage is a cubic Spline estimation. The experimental results on 50 simulated and 200 real pulse signals demonstrate the powerful effect of CAF both in removing the baseline wander and in preserving the diagnostic information of pulse waveform, comparing with some traditional methods, such as cubic Spline estimation, morphology filter and Linear-phase FIR least-squares-error digital filter. In addition, this CAF is easy to be accomplished and needs no prior knowledge on pulse and its baseline drift. (6 refs.)

 

 

2002

 

http://www.engineeringvillage2.org.cn/engresources/images/spacer.gifXu L.S.,  K.Q. Wang; D. Zhang, C. Shi, "Adaptive baseline wander removal in the pulse waveform," Proceedings of the IEEE Symposium on Computer-Based Medical Systems, 2002, p 143-148(EI:1471598, ISTP: BV67W) [pdf]

Abstract: Pulse waveform plays an important role in pulse diagnosis, which is the key technique in Traditional Chinese Medicine. However, its baseline wander introduced in the acquisition process will result in misdiagnosis. Therefore a wavelet based cascade adaptive filter to remove this wander is presented in this paper. This cascade adaptive filter works in two stages. The first stage is a discrete Meyer wavelet filter and the second stage is the cubic spline estimation. Comparing with some traditional methods, such as cubic spline estimation and Linear-phase FIR least-squares error minimization digital filter, the proposed approach has better performance for removing the baseline wander of pulse waveform.

 

http://www.engineeringvillage2.org.cn/engresources/images/spacer.gifXu L.S.,  K.Q. Wang; D. Zhang,"Modern Researches on Pulse Waveform of TCPD," 2002 International Conference on Communications Circuits and Systems and West Sino Expositions Proceedings, pp1073-1078, June 29-July 1, 2002, Chengdu, China.(No Abstract)

 

http://www.engineeringvillage2.org.cn/engresources/images/spacer.gifXu L.S.,  K.Q. Wang; D. Zhang,"Overview of Modern Traditional Chinese Pulse Diagnosis," Proceedings of The Fourth China-Japan-Korea Joint Symposium on Medical Informatics, pp.110-114, Aug.2, 2002, Beijing, China.(No Abstract)

 

 

Wang K.Q., L.S. Xu,  D. Zhang, C. Shi, "TCPD based pulse monitoring and analyzing," Proceedings. 2002 International Conference on Machine Learning and Cybernetics , Volume: 3 , 4-5 Nov. 2002 , Page(s): 1366 -1370 vol.3 [pdf]

Abstract: This article presents pulse monitoring and analysis approaches on Traditional Chinese Pulse Diagnosis (TCPD) by means of modern nonlinear signal processing technology. Pulse monitoring is significant for the research on cardiovascular and nervous system. But some interference, such as respiration, motion artifacts can be greatly brought into the long-term pulse acquisition. Thus, a cascaded adaptive wavelet filter is designed to solve this issue. Then analysis of long-term pulse waveform in TCPD is illustrated after being preprocessed. What’s more, the chaos character of healthy Heart Rate Variability (HRV) is validated.

 

徐礼胜,王宽全, 李振国, 张大鹏, "中医脉诊信号处理的现代研究," 中国中西医四诊学术会议,厦门2002(No Abstract)

 

Copyright Notice

Copyrights for some of the materials on these WebPages have been transferred, or will be transferred to various publishers of journals, conferences proceedings, etc.

It is required to post the following notice: this material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. Publisher's copyright policies are available at, © IEEE, © Springer,© Elsevier. © ACM and so on.

 

 

 

<