Shape Modeling Laboratory

Daming Wei Professor	Wenxi Chen Assistant Professor	Shuxue Ding Visiting Researcher

By the end of AY 2004, the lab had around forty members including professors, researchers, students of doctoral andmaster programs, and graduation thesis studies (including foreign students). Research activities in the lab are conduced in interdisciplinary fields like biomedical modeling and computer simulation, geometric modeling and visualization, biomedical informatics and signal processing, telemedicine and e-health. A highlight of 2004 in our lab is academia-industry cooperation. This was the last year for several large-scale research projects conducted in the shape modeling laboratory, funded by central and domestic government. The University Start-Ups Creation Support System of Japanese Ministry of Education, Culture, Sports, Science: A mobile phone network for health monitoring and management. Cooperation of Innovative Technology and Advanced Research in Evolutional Area, the Ministry of Education, Culture, Sports, Science, and Technology: hardness imaging technique for X-ray CT. Fukushima prefecture project for formation of intellectual cluster: Development of medical information systems: a mobile internet system for homecare service support, and a virtual EP Lab. As a result of the Fukushima prefecture intellectual cluster project, a venture company - QRS Corporation was established from the lab. All these projects were completed fruitfully with a number of publications, patents assummarizedin the following sections. The research activities and results were widely accessed by massmedia including broadcasting of NHK, new release by Nikkei. The 5th international conference of computer and information technology (CIT2005) was successfully held inWuhan, China, where Prof. Wei served as a general chair, and Prof. Chen a PCmember. The International Workshop on Bioelectromagnatism organized by the Shape Modeling Lab was held in October 2004 with a great success, as a preparative meeting for the 6th International conference on Bioelectromagnatism, when Prof. Wei is to serve the conference chair.

Refereed Journal Papers

[dm-wei-01:2004]	K. Morisawa, T. Nanke, Y. Masui, S. Noda, D. Wei, and K. Akashi. Clinical Application of Derived 12-lead Electrocardiogram for Pre-hospital care. The Japanese Journal of Acute Medicine, 15(1):279-287, 2004.
	Early diagnosis of ST segment changes with acute coronary syndrome by derived 12-lead ECG was evaluated with data obtained in pre-hospital care, and the results support this origina technique.
[dm-wei-02:2004]	S. Ding, X. Zhu, W. Chen, and D. Wei. Derivation of Respiratory Signal from Single-Channel ECGs Based on Source Statistics. International Journal of Bioelectromagnetism, 6(2):43-49, 2004.
	Respiration derivation from ECG signals would be an alternative approach for obtaining respiration related knowledge that is especially useful in the situation in which the respiration is not routinely monitored by specialized equipment. Although several published methods could give reasonable results for this purpose, for some applications, they still have drawbacks in some respects, e.g., requiring multi-channel ECG signal, being robust-less against noise, etc.. In order to overcome these drawbacks, in this paper, we investigate the possibility of obtaining respiratory knowledge from a single-channel ECG signal based on its higher order statistics, which is a notable feature that the conventional methods do not hold. Another worthy of mention feature is that the method depends on R-wave detections only, such that other feature detections, e.g., Q-wave or S-wave detection, are not necessary anymore for the processing. This feature does not make the processing simpler only, with the feature related to higher order statistics together, but it also strengthens the robustness against noise. Our experiments show the improved performances with the method.
[dm-wei-03:2004]	S. Ding, J. Huang, and D. Wei. Real-Time Blind Source Separation of Acoustic Signals with a Recursive Approach. International Journal of Computational Intelligence and Applications, 4(2):193-206, 2004.
	We propose an approach for real-time blind source separation(BSS), in which the observations are linear convolutive mixtures of statistically independent acoustic sources. A recursive least square (RLS)-like strategy is devised for real-time BSS processing. A normal equation is further introduced as an expression between the separation matrix and the correlation matrix of observations. We recursively estimate the correlation matrix and explicitly, rather than stochastically, solve the normal equation to obtain the separation matrix. As an example of application, the approach has been applied to a BSS problem where the separation criterion is based on the second order statistics and the non-stationarity of signals in the frequency domain. In this way, we realize a novel BSS algorithm, called exponentially weighted recursive BSS algorithm. The simulation and experimental results showed an improved separation and a superior convergence rate of the proposed algorithm over that of the gradient algorithm. Moreover, this algorithm can converge to amuch lower cost value than that of the gradient algorithm.
[dm-wei-04:2004]	H. Wang, M. Guo, and D. Wei. A Parallel Implementation of Multi-Domain High-Order Navier-Stokes Equations Using MPI. IEICE Trans. Info. and Sys., E87-D(7):1759-1765, 2004.
	In this paper, Message Passing Interface (MPI) techniques are used to implement high-order full 3-D Navier-Stokes equations in multi-domain applications. A two-domain interface with five-point overlapping used previously is expanded to a multi-domain computation. There are normally two approaches for this expansion. One is to break up the domain into two parts through domain decomposition (say, one overlapping), then use MPI directives to further break up each domain into n parts. Another is to break the domain up into 2n parts with (2n-1) overlappings. In our present effort, the latter approach is used and finite-size overlappings are employed to exchange data between adjacentmulti-dimensional sub-domains. It is an alternativeway to parallelize the high-order full 3-D Navier-Stokes equations into multi-domain applications without adding much complexity. Results with high-order boundary treatments show consistency among multi-domain calculations and single-domain results.
[dm-wei-05:2004]	H. Wang, M. Guo, and D. Wei. A Divide-and-Conquer Algorithm for Irregular Redistribution in Parallelizing Compilers. Journal of Supercomputing, 29(2):157-170, 2004.
	In order to achieve higher load balancing, it is necessary to solve irregular block redistribution problems, which are different from regular block-cyclic redistribution. High Performance Fortran version 2 (HPF-2) provides irregular distribution functionalities, such as GEN; BLOCK and INDIRECT.This paper is devoted to develop an eAEcient algorithm that attempts to obtain near optimal scheduling while satisfying the conditions of minimal message size of total steps and the minimal number of steps for irregular array redistribution. The algorithm intends to decrease the computation costs by dividing the whole block into sub-blocks and solving the sub-problems accordingly, and then merging them together to get final results. Simulation results show that our algorithm has comparable performance with a relocation algorithm developed previously (H. Yook and M. Park. Proceedings of the IASTED International Conference Parallel and Distributed Computing and Systems, Nov. 3-6, MIT, Boston, USA, 1999).
[sding-01:2004]	S. Ding, X. Zhu, W. Chen, and D. Wei. Derivation of Respiratory Signal from Single-Channel ECGs Based on Source Statistics. International Journal of Bioelectromagnetism, 6(2):43-49, 2004.
	Respiration derivation from ECG signals would be an alternative approach for obtaining respiration related knowledge that is especially useful in the situation in which the respiration is not routinely monitored by specialized equipment. Although several published methods could give reasonable results for this purpose, for some applications, they still have drawbacks in some respects, e.g., requiring multi-channel ECG signal, being robust-less against noise, etc.. In order to overcome these drawbacks, in this paper, we investigate the possibility of obtaining respiratory knowledge from a single-channel ECG signal based on its higher order statistics, which is a notable feature that the conventional methods do not hold. Another worthy of mention feature is that the method depends on R-wave detections only, such that other feature detections, e.g., Q-wave or S-wave detection, are not necessary anymore for the processing. This feature does not make the processing simpler only, with the feature related to higher order statistics together, but it also strengthens the robustness against noise. Our experiments show the improved performances with the method.
[sding-02:2004]	S. Ding, J. Huang, and D. Wei. Real-Time Blind Source Separation of Acoustic Signals with a Recursive Approach. International Journal of Computational Intelligence and Applications, 4(2):193-206, 2004.
	We propose an approach for real-time blind source separation(BSS), in which the observations are linear convolutive mixtures of statistically independent acoustic sources. A recursive least square (RLS)-like strategy is devised for real-time BSS processing. A normal equation is further introduced as an expression between the separation matrix and the correlation matrix of observations. We recursively estimate the correlation matrix and explicitly, rather than stochastically, solve the normal equation to obtain the separation matrix. As an example of application, the approach has been applied to a BSS problem where the separation criterion is based on the second order statistics and the non-stationarity of signals in the frequency domain. In this way, we realize a novel BSS algorithm, called exponentially weighted recursive BSS algorithm. Thesimulation and experimental results showed an improved separation and a superior convergence rate of the proposed algorithm over that of the gradient algorithm. Moreover, this algorithm can converge to a much lower cost value than that of the gradient algorithm
[wenxi-01:2004]	Shuxue Ding, Xin Zhu, Wenxi Chen, and Daming Wei. Derivation of Respiratory Signal from Single-Channel ECGs Based on Statistical Characters. International Journal of Bioelectromagnetism, 6(2):43-49, 2004.
	Respiration derivation from ECG signals would be an alternative approach for obtaining respiration related knowledge that is especially useful in the situation in which the respiration is not routinely monitored by specialized equipment. Although several published methods could give reasonable results for this purpose, for some applications, they still have drawbacks in some respects, e.g., requiring multi-channel ECG signal, being robust-less against noise, etc.. In order to overcome these drawbacks, in this paper, we investigate the possibility of obtaining respiratory knowledge from a single-channel ECG signal based on its higher order statistics, which is a notable feature that the conventional methods do not hold. Another worthy of mention feature is that the method depends on R-wave detections only, such that other feature detections, e.g., Q-wave or S-wave detection, are not necessary anymore for the processing. This feature does not make the processing simpler only, with the feature related to higher order statistics together, but it also strengthens the robustness against noise. Our experiments show the improved performances with the method.
[wenxi-02:2004]	Wenxi Chen, Xin Zhu, Tetsu Nemoto, Toshio Kobayashi, and Toshiyuki Saito. Fetal heart rate monitoring from maternal body surface potentials using independent component analysis. Animal Science Journal, 75(5):471-478, 2004.
	The fetal heart rate is indispensable for monitoring the health of unborn cattle fetuses. To monitor the fetal heart rate, a method employing independent component analysis (ICA) to extract the fECG from potentials measured on the maternal body surface and composed of a mixture of the maternal ECG (mECG), fECG, baseline drift, and noise is described. A mixing of the raw data was simplified using a linear time-invariant model. To separate the fECG from the mECG, baseline drift, and noise, an ICA strategy was applied, using a hyperbolic tangent as the contrast function and treating mutual information with the minimization principle to find the optimum demixing matrix to derive the fECG from the measured signals. After the feasibility of this method was shown on simulated signals obtained by randomly mixing pure fECG, pure mECG, low frequency sinusoidal drift, and noise, real signals from three cloned pregnant Holstein cows with 157, 177, and 224-day gestation periods were used to verify the separation method. The results show that the fECG, mECG, low-frequency sinusoidal drift, and noise can be clearly segregated in simulations; and that the fECG, mECG, baseline drift, and noise can be successfully derived from real signals. The ICA approach has great potential in effectively detecting the fECG from maternal body surface potentials.

Referred Proceeding Papers

[dm-wei-06:2004]	W. Chen, D.Wei, M. Cohen, S. Ding, S. Tokinoya, and Takeda N. An m-Healthcare Solution Using Mobile Telephony. In Proc. of International Workshop for Bioelectromagnetism - from modeling to healthcare, 2004.
[dm-wei-07:2004]	W. Chen, D.Wei, M. Cohen, S. Ding, S. Tokinoya, and Takeda N. Development of a Scalable Platform for u-Healthcare. In Proc of International Ubiquitous Healthcare Conference, pages 32-33, 2004.
[dm-wei-08:2004]	W. Chen, D.Wei, M. Cohen, S. Ding, S. Tokinoya, and Takeda N. Development of a Scalable Healthcare Monitoring Platform. In Proc. of The 4th International Conference on Computer and Information Technology, volume 4, pages 912-915, 2004.
[dm-wei-09:2004]	W. Chen, D. Wei, N. Tanaka, M. Cohen, and Takeda N. Development of Ubiquitous Healthcare System. In The Proc. of 15th Japanese Clinical Monitoring Conference, volume 15, page 65, 2004.
[dm-wei-10:2004]	S. Ding, D. Wei, and S. Omata. An Algorithm for Real-Time Independent Component Analysis in Dynamic Environments. In T. Watanabe, editor, Proc. MWSCAS 2004, pages III-105-III108. IEEE Circuits and Systems Society, IEEE Circuits and Systems Society, 2004.
	We present a novel algorithm for independent component analysis (ICA) based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). This algorithm can work well in on-line mode of ICA processing, in a dynamic mixing environment. It converges very fast even for non-stationary, and/or non-identically independent distributed (non-I.I.D.) signals, so that the algorithm is very suitable for most real-time applications. In this paper, theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
[dm-wei-11:2004]	S. Ding, J. Huang, D. Wei, and S. Omata. Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing. In Z. Peng A. Kara D.Wei, H.Wang and Editors Y. He, editors, Proc. CIT2004, pages 839-844. International Conference on Computer and Information Technology, IEEE Computer Society Press, 2004.
	In this paper, we investigate some issues related to real-time processing for independent component analysis (ICA), based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). Real-time ICA processing is especially necessary for an application in dynamic mixing environment, since a batch type of ICA processing can work well only in a static or stationary mixing environment. Although there are many choices for an ICA object function to which SPSA can be applied, in this paper, we choose a diagonality of the non-linear correlation matrix as our object function. Theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
[dm-wei-12:2004]	S. Ding, J. Huang, D. Wei, and S Omata. Real-Time Independent Component Analysis Based on Gradient Learning with Simultaneous Perturbation Stochastic Approximation. In Robert J. Howlett Mircea GH. Negoita and Lakhmi Jain, editors, Lecture Notes in Artificial Intelligence 3214 (Subseries of Lecture Notes in Computer Science), pages 366-374. KES (Knowledge-Based Intelligent Information & Engineering Systems), Springer-Verlag, 2004.
	We present a novel algorithm for independent component analysis (ICA) based on gradient learning with simultaneous perturbation stochastic ap-proximation (SPSA). This algorithm can work well both in batch mode and in on- line mode of ICA processing. It converges very fast even for non-stationary, and/or non-identically independent distributed (non-I.I.D.) signals, so that the algorithm is very suitable for most real-time applications. In this paper, theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
[dm-wei-13:2004]	T. Mashiko, H. Yagou, D. Wei, Y. Ding, and G. Wu. 3D Triangle Mesh Smoothing via Adaptive MMSE Filtering. In Proc of The 4th International Conference on Computer and Information Technology, pages 734-740, Wuhan, China, Sept. 2004. Wuhan University, IEEE Computer Society Press.
[dm-wei-14:2004]	T. Sakamoto, D. Wei, and K. Hamao. A Study of ECG Telemonitoring System Using Mobile Internet Connections. In Proc of The 4th International Conference on Computer and Information Technology, pages 593-597, Wuhan, China, Sept. 2004. Wuhan University, IEEE Computer Society Press.
[dm-wei-15:2004]	H. Wang, M. Guo, and D. Wei. Effcient List Algorithms for Irregular Block Redistribution in Parallelizing Compilers. In Editor D. Wei, editor, Proc. of The Fourth Int. Conf. on Computer and Information Technology (CIT 2004), pages 467-472, Wuhan, China, Sept. 2004. Wuhan University, IEEE Computer Society Press.
[dm-wei-16:2004]	M Uchida, W. Chen, T. Nemoto, and Wei D. An ICA Approach to Reject Noise from Pressure Changes of Pillow. In Proc. of The 4th International Conference on Computer and Information Technology, volume 4, pages 916-921, 2004.
[dm-wei-17:2004]	K. Yamauchi, W. Chen, and Wei D. A Study on Japanese Mobile Phone Market and its Applications. In Proc of The 4th International Conference on Computer and Information Technology, pages 875-878, Wuhan, China, Sept. 2004. Wuhan University, IEEE Computer Society Press.
[dm-wei-18:2004]	Z. Zhang, A. He, and Wei D. Whiteboard Functions in a Mobile Teleconference System for Homecare Services. In Proceedings of the Fourth International Conference on computer and Information, pages 927-931, Wuhan, China, Sep. 2004. International Association of Biomedical Engineering, IEEE Computer Society.
	A teleconference system via mobile internet connections is developed for homecare services. Animportant purpose of such a system is the realization of real time instruction from a service station (doctors) to service providers (nurses) in mobile conditions. In this paper, we present a whiteboard system as an interactivecommunication platform between the station site and home site. The following four features of this system are summarized: 1) two distinct layers including image layer and memo layer are used to save mouse motions; 2) a snapshot from USB camera presents medical images or illustrations to all participant's computers in a teleconference; 3) the synchronization of any data and operations (such as displaying an image, drawing a line, and so on) within all participant's computers; 4) a realization via mobile internet connections, where communication abilities are limited.
[dm-wei-19:2004]	X. Zhu, W. Chen, S. Ding, H. Tsuchida, M. Cohen, and Wei D. Monitoring electrocardiograms via a mobile network system using cellular phones. In Proc. of The 31st International Congress on Electrocardiology, 2004.
[sding-03:2004]	S. Ding, D. Wei, and S. Omata. An Algorithm for Real-Time Independent Component Analysis in Dynamic Environments. In T. Watanabe, editor, Proc. MWSCAS 2004, pages III-105-III108. IEEE Circuits and Systems Society, IEEE Circuits and Systems Society, 2004.
	We present a novel algorithm for independent component analysis (ICA) based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). This algorithm can work well in on-line mode of ICA processing, in a dynamic mixing environment. It converges very fast even for non-stationary, and/or non-identically independent distributed (non-I.I.D.) signals, so that the algorithm is very suitable for most real-time applications. In this paper, theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
[sding-04:2004]	S. Ding, J. Huang, D. Wei, and S. Omata. Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing. In Z. Peng A. Kara D.Wei, H.Wang and Editors Y. He, editors, Proc. CIT2004, pages 839-844. International Conference on Computer and Information Technology, IEEE Computer Society Press, 2004.
	In this paper, we investigate some issues related to real-time processing for independent component analysis (ICA), based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). Real-time ICA processing is especially necessary for an application in dynamic mixing environment, since a batch type of ICA processing can work well only in a static or stationary mixing environment. Although there are many choices for an ICA object function to which SPSA can be applied, in this paper, we choose a diagonality of the non-linear correlation matrix as our object function. Theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
[sding-05:2004]	S. Ding, J. Huang, D.Wei, and S Omata. Real-Time Independent Component Analysis Based on Gradient Learning with Simultaneous Perturbation Stochastic Approximation. In Robert J. Howlett Mircea GH. Negoita and Lakhmi Jain, editors, Lecture Notes in Artificial Intelligence 3214 (Subseries of Lecture Notes in Computer Science), pages 366-374. KES (Knowledge-Based Intelligent Information & Engineering Systems), Springer-Verlag, 2004.
	We present a novel algorithm for independent component analysis (ICA) based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). This algorithm can work well both in batch mode and in on-line mode of ICA processing. It converges very fast even for non-stationary, and/or non-identically independent distributed (non-I.I.D.) signals, so that the algorithm is very suitable for most real-time applications. In this paper, theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
[sding-06:2004]	T. Hanada, T.Hoya, S. Ding, A. Barros, and Y. Ishida. Combined subband independent component analysis and neural memory for blind speech extraction. InITC-CSCC 2004 (The 2004 International Technical Conference on Circuits/Systems, Computers and Communications), pages 6B2L-1-1-6B2L-1-4. The 2004 International Technical Conference on Circuits/Systems, Computers and Communications, The Institute of Electronics, Information and Communication Engineers, 2004.
	This paper presents a new method for speech extraction by a combined subband independent component analysis (subband ICA) and neural memory. In the method, subband ICA separates the signals obtained from microphones into the signal components of interest and the rest at each subband. The neural memory represented by probabilistic neural networks (PNNs) is then used for identifying the signal components of interest among the separated components and thereby solving both the permutation and scaling problems which are of fundamental to the subband ICA approach. Simulation results show that we compare the proposed approach with the fullband/subband approach
[wenxi-03:2004]	Wenxi Chen, Daming Wei, Michael Cohen, Shuxue Ding, Shigeru Tokinoya, and Naotoshi Takeda. An m-Healthcare Solution Using Mobile Telephony. In Proc of International Workshop for Bioelectro-magnetism - from modeling to healthcare, 2004.
[wenxi-04:2004]	Shuxue Ding, Xin Zhu, Wenxi Chen, and Daming Wei. Derivation of Respiratory Signal from Single-Channel ECGs Based on Statistical Characters. In Proc of International Workshop for Bioelectro-magnetism - from modeling to healthcare, 2004.
[wenxi-05:2004]	Wenxi Chen, Daming Wei, Michael Cohen, Shuxue Ding, Shigeru Tokinoya, and Naotoshi Takeda. Development of a Scalable Platform for u-Healthcare. In Proc of International Ubiquitous Healthcare Conference, pages 32-33, 2004.
[wenxi-06:2004]	Wenxi Chen, Daming Wei, Michael Cohen, Shuxue Ding, Shigeru Tokinoya, and Naotoshi Takeda. Development of a Scalable Healthcare Monitoring Platform. In Proc of The 4th International Conference on Computer and Information Technology, volume 4, pages 912-915, 2004.
[wenxi-07:2004]	Kazuaki Yamauchi, Wenxi Chen, and Daming Wei. A Study on Japanese Mobile Phone Market and its Applications. In Proc of The 4th International Conference on Computer and Information Technology, volume 4, pages 875-878, 2004.
[wenxi-08:2004]	Masayuki Uchida, Wenxi Chen, Tetsu Nemoto, and Daming Wei. An ICA Approach to Reject Noise from Pressure Changes of Pillow. In Proc of The 4th International Conference on Computer and Information Technology, volume 4, pages 916-921, 2004.
[wenxi-09:2004]	Wenxi Chen. Development of an Integrated Medical Information Platform for Nursing Supporting and Home healthcare in the Ubiquitous Era. In Invited Paper at the 35th National Symposium of Japanese Nursing Association, 2004.
[wenxi-10:2004]	Xin Zhu, Wenxi Chen, Shuxue Ding, Hikaru Tsuchida, Michael Cohen, and Daming Wei. Monitoring electrocardiograms via a mobile network system using cellular phones. In Proc. of The 31st International Congress on Electrocardiology, 2004.
[wenxi-11:2004]	Yumi KANEMITSU, Yuri YAMASHITA, Tetsu NEMOTO, Shigeo TAKADA, Keiichiro KITAMURA, Kenichi YAMAKOSHI, and Wenxi CHEN. Development of Biometry System in the Sleep. In Proc. of 43rd Japan Soc. ME& BE, volume 42, 2004.
[wenxi-12:2004]	Wenxi Chen, Daming Wei, Nobuaki Tanaka, Michael Cohen, and Naotoshi Takeda. Development of Ubiquitous Healthcare System. In The Proc of 15th Japanese Clinical Monitoring Conference, volume 15, page 65, 2004.

Books

[dm-wei-20:2004]

D. Wei, H. Wang, Z. Peng, A. Kara, and He Y. (Eds.). Proc. of The 4th Int. Conf. on Computer and Information Technology. IEEE CS Press, Los Alamitos, California, 2004.

Chapters in Book

[dm-wei-21:2004]

Daming Wei. Whole heart modeling and simulation, page 37. Number 81 in Modeling and Imaging of Bioelectrical Activity. Kluwer Academic, New York, 2004.

Grants

[dm-wei-22:2004]	D. Wei, Cohen M. Chen, W, Yamauchi K, Takeda N., and F. Matsuura. Ubiquitous Health Monitoring and Automatic Management System Using Mobile Telephony Network, 2002-2004.
[dm-wei-23:2004]	D.Wei. Hardness Imaging for X-ray CT, 2002-2004.
[dm-wei-24:2004]	D. Wei. Development of Medical Information system - Homecare service support system, 2002-2004.
[dm-wei-25:2004]	D. Wei. Development of Medical Information system - Virtural EP Lab, 2002-2004.
[dm-wei-26:2004]	S. Ding, D. Wei, and W. Chen. Real-Time Blind Source Separation and Independent Component Analysis to Convolutive Mixed Signals, 2004-2007.
[sding-07:2004]	S. Ding. Researches of real-time signal processing for blind source separation in convolutive mixing environment and real-time signal processing for independent component analysis, 2004-2006.
[wenxi-13:2004]	Daming Wei and Wenxi Chen. Ubiquitous Health Monitoring and Automatic Management System Using Mobile Telephony Network, 2002-2004.
[wenxi-14:2004]	Shuxue Ding and Wenxi Chen. Real-Time Blind Source Separation and Independent Component Analysis to Convolutive Mixed Signals, 2004-2007.

Academic Activities

[dm-wei-27:2004]	D. Wei, 2004. General Chair, the 4th Int. Conf. on Computer and Information Technology
[dm-wei-28:2004]	D. Wei, 2004. General Chair, International Workshop on Bioelectromagnetism
[dm-wei-29:2004]	D. Wei, 2004. Invited talk, Japanese Society of Operations Research
[dm-wei-30:2004]	D. Wei, 2004. Invited talk, Japanese Society of Sleep Conditions
[dm-wei-31:2004]	D. Wei, 2004. Head of Fukushima delegation of JETRO (Japan) Fukushima - (Sweden) Umeo Local-to-Local Project
[dm-wei-32:2004]	D. Wei, 2004. Newspaper article: Univeristy ventures, Nikkei Keizai (Tohoku)
[dm-wei-33:2004]	D. Wei, 2004. Newspaper article: Telemedicine, Fukushima Minpo
[sding-08:2004]	S. Ding, 2004. Institute of Electrical and Electronics Engineers (IEEE), Membership. Review Committee Member of ISCAS 2005 (2005 IEEE International Symposium on Circuits and Systems, Kobe, Japan)
[sding-09:2004]	S. Ding, 2004. IEEE Signal Processing Society, Membership. Reviewer for the IEEE Tranactions on Signal Processing
[sding-10:2004]	S. Ding, 2004. IEEE Communications Society, Membership
[sding-11:2004]	S. Ding, 2004. Program Committee Member of CIT2004 (International Conference on Computer and Information Technology,Wuhan, China)
[wenxi-15:2004]	Wenxi Chen, Aug. 2004. PC member, EUC 2004.
[wenxi-16:2004]	Wenxi Chen, Sept. 2004. PC member, CIT 2004.
[wenxi-17:2004]	Wenxi Chen, Oct. 2004. PC member, IWBEM 2004.

Patents

[dm-wei-34:2004]	D. Wei, Kojima T., Nakayama T., and Sakai Y. Method of deriving standard 12-lead electrocardiogram and electrocardiogram monitoring apparatus, April 2004.
[dm-wei-35:2004]	D. Wei. Method of deriving standard 12-lead electrocardiogram and electrocardiography using the same, May 2004.
[dm-wei-36:2004]	W. Chen and D. Wei. Body Status Monitoring Device, Sept. 2004.
[dm-wei-37:2004]	D. Wei and W. Chen. Ecg Measurement Device And Ecg Measurement System, Oct. 2004.
[dm-wei-38:2004]	S. Tokinoya, W. Chen, and D.Wei. Electrode For Ecg Measurement, Mar. 2005.
[wenxi-18:2004]	Shigeru Tokinoya, Wenxi Chen, and Daming Wei. ELECTRODE FOR ECG MEASUREMENT, Mar. 2005.
[wenxi-19:2004]	Daming Wei and Wenxi Chen. ECG MEASUREMENT DEVICE AND ECG MEASUREMENT SYSTEM, Oct. 2004.
[wenxi-20:2004]	Wenxi Chen and Daming Wei. BODY STATUS MONITORING DEVICE, Sept. 2004.

Ph.D. and Other Theses

[dm-wei-39:2004]	Jyunichiro Saito. Graduation Thesis: Automatic Segmentation of Liver in Computed Tomography Images, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-40:2004]	Toshiyuki Sakamoto. Graduation Thesis: Development of 12-lead Electrocardiogram Telemonitor via Mobile Internet Connections, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-41:2004]	Akihisa Hayakawa. Graduation Thesis: Improvement of Adaptive Skeleton Climbing with 3DMedical Images, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-42:2004]	Hideki Hirayama. Graduation Thesis: Feature Analysis of Traditional Chinese Patent Medicine Based on Microscopic Images, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-43:2004]	Takashi Mashiko. Graduation Thesis: 3D Mesh Smoothing Using Image Filters, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-44:2004]	Yosuke Yamamoto. Graduation Thesis: The Evaluation and Improvement in Accuracy of the Electrocardiogram Using Digital Image Surface, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-45:2004]	Masako Kashiwagi. Graduation Thesis: A study of human identification using Electrocardiogram, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-46:2004]	Miki Taira. Graduation Thesis: Server Software Development for Electrocardiogram Telemonitoring, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-47:2004]	Tsutomu Nakajima. Graduation Thesis: Detecting Coordinates for a Catheter Simulator, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-48:2004]	Masatsugu Fujita. Graduation Thesis: A 3D Localization Algorithm for Developing Catheter Simulator, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-49:2004]	Hiroshi Yoshikawa. Graduation Thesis: A Study of Semi-Automatic Liver Segmentation with Computed Tomography, University of Aizu, 2004. Thesis Advisor: Wei, D.
[dm-wei-50:2004]	Jinei Watanabe. Graduation Thesis: Examination of effectiveness of BCI by using alpha wave, University of Aizu, 2004. Thesis Advisor: Wei, D.
[wenxi-21:2004]	Kouta Asakura. Graduation Thesis: Development of an Electronic Stethoscope System with USB Interface, University of Aizu, 2004. Thesis Advisor: Wenxi Chen
[wenxi-22:2004]	SACHIKO IHARA. Graduation Thesis: High-Risk Fall Detection Using 3-axis Accelerometer, University of Aizu, 2004. Thesis Advisor: Wenxi Chen
[wenxi-23:2004]	SYUNPEI IWAMOTO. Graduation Thesis: Designing and Performance Evaluation of VPN, University of Aizu, 2004. Thesis Advisor: Wenxi Chen
[wenxi-24:2004]	MAKOTO ONOGI. Graduation Thesis: Construction of the average 3D torso model using MRI images, University of Aizu, 2004. Thesis Advisor: Wenxi Chen
[wenxi-25:2004]	TAKUO KITANO. Graduation Thesis: A Study of Individualities in Volume Conductor, University of Aizu, 2004. Thesis Advisor: Wenxi Chen
[wenxi-26:2004]	MASAYUKI SUGI. Graduation Thesis: Electronic Patient's Record (EPR) and Its Application in Telemedicine, University of Aizu, 2004. Thesis Advisor: Wenxi Chen

2006 THE UNIVERSITY OF AIZU ALL RIGHTS RESERVED