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IEEE/NLM Life Science Systems and Applications Workshop

作者： Stephan T. Koev Michael A. Powers Vlad Badilita Hyunmin Yi William E. Bentley Gregory F. Payne Gary W. Rubloff Reza Ghodssi Institute for Systems Research ISR University of Maryland College Park MD USA University System of Maryland Adelphi MD US Department of Materials Science and Engineering University of Maryland College Park MD USA Department of Chemical Engineering University of Maryland College Park MD 20742 University of Maryland Biotechnology Institute (UMBI) University of Maryland College Park MD 20742 Bioengineering Graduate Program University of Maryland College Park MD 20742 University of Maryland College Park MD USA University of Maryland Biotechnology Institute College Park MD USA Institute for Systems Research (ISR) University of Maryland College Park MD 20742 Department of Materials Science and Engineering University of Maryland College Park MD 20742 Department of Electrical and Computer Engineering University of Maryland College Park MD 20742 Institute for Systems Research (ISR) University of Maryland College Park MD 20742

ISBN: (纸本)1424402778

We present the use of the polysaccharide chitosan for immobilizing biomolecules on microfabricated device surfaces. The main advantages of chitosan are its abundance of primary amine groups and its ability to be electrodeposited. Biomolecules are easily attached to chitosan 's amines by standard glutaraldehyde chemistry. The electrodeposition of chitosan allows accurate spatial and temporal control of biomolecule placement. We have demonstrated this biofunctionalization method for two different bioMEMS devices: a biophotonic sensor and a micromechanical biosensor. We have successfully assembled probe DNA on each of them and detected hybridization with target DNA as a demonstration of sensor operation. Here, we briefly present the fabrication procedure and testing results for both of these bioMEMS sensing devices

关键词： DNA Biosensors Molecular biophysics Probes Micromechanical devices Optical sensors Optical surface waves Optical interferometry Assembly Biomedical optical imaging

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Complex valued equivalent-current dipole fits for MEG responses

Complex valued equivalent-current dipole fits for MEG respon...

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2nd International IEEE EMBS Conference on Neural engineering, 2005

作者： Wang, Yadong Ahmar, Nayef E. Xiang, Juanjuan Ma, Ling Poeppel, David Simon, Jonathan Z. Cognitive Neuroscience of Language Laboratory University of Maryland College Park Department of Electrical and Computer Engineering University of Maryland College Park Bioengineering Program University of Maryland College Park Department of Biology University of Maryland College Park

Complex numbers appear naturally in biological systems in the context of the Fourier transform. In particular, physiological magnetic field data from whole head magneto-encephalography (MEG) is complex after a Fourier transform. The whole-head MEG Steady State Response (SSR) to a stationary modulated stimulus results in a complex magnetic field for each MEG channel, from the frequency corresponding to that of the stimulus modulation. This complex data set is used to estimate the neural current sources generating the magnetic field, naturally leading to complex current sources. We show that standard inverse methods of estimating the current sources, such as the single equivalent-current dipole, generalize to complex sources in a useful and straightforward manner. The usage and utility of the complex magnetic field and the complex neural current source are demonstrated using examples from auditory SSR experiments. © 2005 IEEE.

关键词： Equivalent circuits

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MEG adaptive noise suppression using Fast LMS

MEG adaptive noise suppression using Fast LMS

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2nd International IEEE EMBS Conference on Neural engineering, 2005

作者： Ahmar, Nayef E. Simon, Jonathan Z. Department of Electrical and Computer Engineering University of Maryland College Park United States Department of Biology University of Maryland College Park United States Bioengineering Program University of Maryland College Park United States

Magnetoencephalography (MEG) measures magnetic fields generated by electric currents in the brain, non-invasively and with millisecond temporal resolution. Typical signals are 10-13 T, so noise contamination due to external magnetic fields is a serious concern. Digital signal processing is typically required in addition to magnetic shielding. Using three reference channels, displaced from the head, to measure the noise, we apply adaptive filtering to subtract out estimates of the noise, via the Block Least-Mean-Square ("Fast LMS") method. The algorithm is tested by its effects on the number and distribution of channels which have statistically significant signals (distinguishable from background noise at a specified false-positive rate). We show that Fast LMS both increases the number significant channels and reduces the variance of false positives. © 2005 IEEE.

关键词： Magnetoencephalography

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Hinman CEOs student ventures

Hinman CEOs student ventures

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2005 ASEE Annual Conference and Exposition: The Changing Landscape of engineering and Technology Education in a Global World

作者： Barbe, David Thornton, Karen Green, James Casalena, Tony Weinstein, Matt Ghavam, Borna Robertson, Blake Maryland Technology Enterprise Institute Hinman CEOs Program University of Maryland College Park United States Department of Electrical and Computer Engineering United States

In Fall 2000, the Clark School of engineering at the University of Maryland, in cooperation with the Smith School of Business, created a unique residential entrepreneurship educational model - the Hinman Campus Entrepreneurship Opportunities (CEOs) program. The program is based on an input/output model in which the input is undergraduate students with a strong entrepreneurial drive;the system is an incubator-like entrepreneurial community environment and a variety of resources including education, networking, teaming and mentoring;and the output is students with substantial entrepreneurial knowledge and experience in operating real companies. This paper profiles four venture models operated by current Hinman CEOs students including students who are creating both high-tech and low-tech for-profit businesses.

关键词： engineering education

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Significance tests for MEG response detection

Significance tests for MEG response detection

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2nd International IEEE EMBS Conference on Neural engineering, 2005

作者： Ahmar, Nayef E. Wang, Yadong Simon, Jonathan Z. Department of Electrical and Computer Engineering University of Maryland College Park United States Cognitive Neuroscience of Language Laboratory University of Maryland College Park United States Department of Biology University of Maryland College Park United States Bioengineering Program University of Maryland College Park United States

Magnetoencephalography (MEG) is a non-invasive neurophysiological technique with high temporal resolution. Nevertheless, low signal to noise ratio may hamper its fullest capability. Many confidence tests already exist to detect strong responses for signals corrupted by noise, and we have explored their use with experimentally obtained MEG signals. We find that the tests demonstrating the most power are the F-test and Rayleigh's phase coherence test. Due to the strongly non-Gaussian nature of the MEG noise, from both neural and external perspective, a signal which is purely noise often fails the marginal tests by exceeding the number of false positive allowed. A variation of the tests is suggested that ensures the average false positive for a large number of responses, excited at frequencies different than the frequency of interest, is below any desired threshold. This is implemented for the F-test, Rayleigh's phase coherence test, and the union of the two. © 2005 IEEE.

关键词： Magnetoencephalography

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MEG responses to speech and stimuli with speechlike modulations

MEG responses to speech and stimuli with speechlike modulati...

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2nd International IEEE EMBS Conference on Neural engineering, 2005

作者： Xiang, Juanjuan Wang, Yadong Simon, Jonathan Z. Electrical and Computer Engineering Department University of Maryland College Park United States Cognitive Neuroscience of Language Laboratory University of Maryland College Park United States Biology Department University of Maryland College Park United States Bioengineering Program University of Maryland College Park United States

Acoustic signals can be decomposed into the product of an envelope and its fine structure. The envelope features are critical to speech recognition. Results from human behavioral and psychophysical experiments indicate that magnetoencephalography (MEG) responses can significantly phase-lock to the temporal envelope of an auditory stimulus, and speech comprehension is correlated with this phase locking. The goal of this study is to explore the properties of neural response to the speech and stimuli with complex temporal envelopes. Five auditory stimuli with the same envelope, generated from natural speech, and the same stimuli but with the envelope artificially sped up were presented to two subjects. Auditory evoked responses were recorded with a whole-head 160-channel MEG system. Independent Component Analysis (ICA), Principle Component Analysis (PCA) and equivalent current dipole fitting were performed to separate and identify the neural sources (and artifacts). The result shows that the location, orientation, and strength of the neural sources are robust across all stimuli, with correlation between auditory responses and the temporal envelope of the stimuli. These results provide support for the premise that neurons in the auditory cortex are particularly sensitive to the envelope and can phase-lock to stimuli with complex temporal and spectrotemporal envelopes. © 2005 IEEE.

关键词： Magnetoencephalography

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Appointments for 2005-2006 term

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IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2005年第7期13卷 773-782页

作者： Ranganathan, Nagarajan Agrawal, Vishwani D. Chakradhar, Srimat T. Chakrabarty, Krishnendu Courtois, Bernard DeMara, Ronald Hu, Xiaobo Sharon Ismail, Yehea I. Jha, Niraj K. John, Lizy Kurian Ker, Ming-Dou Koren, Israel Liu, Bin-Da Marculescu, Diana Marculescu, Radu Narayanan, Vijaykrishnan Nassif, Sani R. Nowick, Steven M. Sapatnekar, Sachin S. Sherlekar, Sunil Sylvester, Dennis Vemuri, Ranga Pham, Michael Department of Computer Science and Engineering University of South Florida Tampa FL 33620 United States Department of Computer Science and Engineering Nanomaterials and Nanomanufacturing Research Center University of South Florida Tampa United States IEEE United States Systems United States Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ United States IETE India ACM NEC Laboratories America Inc. Princeton NJ United States Duke University Durham NC United States ACM SIGDA Sigma Xi United States Laboratory of Techniques of Informatics and Microelectronics for Computer Architectecture ASME IMAPS IEEE Computer Society University of Central Florida Orlando United States Computer Engineering Program SEECS Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Northwestern University Evanston IL United States Department of Electrical Engineering Princeton University Princeton NJ United States Association for Computing Machinery Austin United States UT Austin Engineering Foundation United States Department of Electronics Engineering National Chiao-Tung University Taiwan Department of Electrical and Computer Engineering University of Massachusetts Amherst United States Department of Electrical Engineering Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering Faculty Carnegie Mellon University Pittsburgh PA United States Computer Science and Engineering Department Pennsylvania State University University Park United States IBM Austin Research Laboratory Austin TX United States Columbia University New York NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis United States Tata Consultancy Services Centre of Excellence for Embedded Systems India Department of Electrical Engineering IIT Bombay India Department of Electrical Engineering Uni

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Online traffic light control through gradient estimation using stochastic fluid models

Online traffic light control through gradient estimation usi...

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作者： Panayiotou, Christos G. Howell, William C. Fu, Michael Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Applied Mathematics Scientific Computation Program Department of Mathematics University of Maryland College Park MD 20742 United States Smith School of Business and Institute for Systems Research University of Maryland College Park MD 20742 United States

ISBN: (纸本)008045108X

in this paper, we consider the problem of dynamically regulating the timing of traffic light controllers in busy cities. We use a Stochastic Fluid Model (SFM) to model the dynamics of the queues formed at an intersection. Based on this model, we derive gradients of the queue lengths with respect to the green/red light lengths within a signal cycle. We report preliminary numerical results comparing the performance of the estimates with finite-difference and smoothed perturbation analysis estimates. Then all estimators are used to optimize the traffic system via Stochastic Approximation. Copyright © 2005 IFAC.

关键词： Stochastic systems

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Wireless hearing aid system simulations using advanced design system™: A behavioral modeling approach

Wireless hearing aid system simulations using advanced desig...

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2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Rana, Ram Singh Tang, Bin Zhang, Liang Krishna, Garg Hari Wang, Yun Institute of Microelectronics Singapore Science Park II 11 Science Park Road Singapore 117685 Singapore Graduate Program in Bioengineering National University of Singapore Singapore 117597 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 119260 Singapore Department of Otolaryngology Faculty of Medicine National University of Singapore Singapore 119074 Singapore

ISBN: (纸本)0780387406

The stringent requirements on size and power consumption constrain the conventional hearing aid devices from providing the patients an economic and user friendly solution, specifically for better noise cancellation. With the advancements in technologies such as integrated circuits design, wireless communications and digital signal processing techniques, the wireless hearing aids having multi-microphones, analog, digital and mixed signals and radio frequency signals processing circuits, DSP and programmable units seem to be promising to provide enhanced performance. The focus of this paper is about the system simulation of a typical wireless hearing aid using Agilent Advanced Design System™. The behavioral modeling features are exploited to enable the whole system simulations including electro-acoustic transducers. A few system level simulation results are included. © 2005 IEEE.

关键词： Hearing aids

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Wireless Hearing Aids System Simulation

Wireless Hearing Aids System Simulation

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Asilomar Conference on Signals, Systems & computers

作者： H.K. Garg Tang Bin Zhang Liang R.S. Rana Department of Electrical & Computer Engineering National University of Singapore Singapore 11 Science Park Road Institute of Microelectronics Singapore Graduate Program in Bioengineering National University of Singapore Singapore

Although wireless hearing aid systems have been proposed by several research groups, no viable whole-system simulation results have been reported so far for better evaluation of this advanced hearing device. In this paper, a system-level simulation using ADStrade is presented based on one of the typical wireless hearing aid architecture. The results show that the wireless hearing aid system function can be simulated and verified. And from these results, we can get a very promising performance which can be used for further design

关键词： Hearing aids Auditory system Circuit simulation Radio frequency Noise cancellation Mathematical model Costs RF signals Signal processing Computational modeling

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