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Intelligent Sensors, Sensor Networks and Information processing conference (ISSNIP)

作者： Kam W. Lo Brian G. Ferguson Maritime Operations Division Defence Science and Technology Organisation Pyrmont NSW Australia

Acoustic sensors can be localized using multiple fixed transient sound sources with known positions or a mobile transient sound source moved to different known positions. The sensor positions are estimated by measuring the differential times-of-arrival of the signal emitted by each source at different sensor pairs, and then minimizing the sum of the squared deviations of the differential times-of-arrival from their predicted values over all sensor pairs and all source positions. The localization accuracy of the method is evaluated with real data using the bootstrap technique for a land-based wide-aperture linear array consisting of six widely separated microphones located on the ground and an underwater wide-aperture planar array consisting of four widely spaced hydrophones deployed in Sydney Harbour. Results are presented for the cases where two and three sensor elements of the microphone array are localized at a time for various intersensor spacings and for the case where all four sensor elements of the hydrophone array are localized simultaneously.

关键词： Acoustic sensors Sensor arrays Microphone arrays Sonar equipment Acoustic measurements Planar arrays Global Positioning System Sensor systems signal generators Underwater acoustics

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Compressed and Distributed Sensing of Population Activity for Multiscale Decoding of Motor Cortical Response Properties

Compressed and Distributed Sensing of Population Activity fo...

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international IEEE/EMBS conference on Neural Engineering, CNE

作者： Michael A. Shetliffe Kevin Lorenz Bryan Pietrzyk Karim G. Oweiss ECE Department Michigan State University East Lansing MI USA

Estimating time varying response properties in the motor cortex is an essential task to decode motor neural activity for adequate and reliable neuroprosthetic control. Response properties are typically governed by the precision in neuronal firing and changes in the mean firing rate of individual neurons in relation to the preferred movement direction. This paper proposes a new approach for simultaneously estimating both types of information directly from a multiscale representation of neural data. The approach is based on exploiting the sparsity introduced in the data through a wavelet transformation to first derive distinctive features of neuronal spike waveforms in addition to precision in neuronal firing. Then, changes in mean firing rates are captured along an extended path of the representation to co-localize both response properties. We use spatiotemporal point process models to describe these properties and demonstrate the validity of the approach in decoding a 2D movement trajectory synthesized with 24 neurons directly from the sparsely represented data.

关键词： Decoding Neurons signal processing Motor drives Capacitive sensors Neural engineering USA Councils Information representation Fingers Sampling methods

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Intelligent processing of E-nose Information for Fish Freshness Assessment

Intelligent Processing of E-nose Information for Fish Freshn...

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Intelligent Sensors, Sensor Networks and Information processing conference (ISSNIP)

作者： H. GholamHosseini Dehan Luo Hongxiu Liu Guanggui Xu School of Engineering Auckland University of Technology Auckland New Zealand School of Information Engineering Guangdong University of Technology Guangzhou China

Intelligent odour detection is a challenging research topic and requires an in depth study into types of sensors, advanced signal processing and pattern recognition methods. Electronic nose (e-nose) can be used to identify odour variety, aroma intensity and degree of freshness. The e-nose consists of an array of conductometric chemical sensors which change resistance when exposed to vapours. The applications of commercial e-noses are broad and continuously expanding to various areas such as environmental monitoring, medical instrumentation, and food industries. This paper presents intelligent processing of information collected by a portable 32-sensor e-nose for fish freshness assessment. We used artificial neural networks (ANNs) to design an intelligent system for measuring of the freshness of spoiling fish. It was found that the degree of selectivity and the type of odours that could be detected by the e-nose are largely dependent on the choice and number of sensors in the sensor array. We identified the most sensitive sensors, which provide a good estimation of freshness assessment in a laboratory environment. The information processing method was applied to collected data from four species. The procedure was repeated every day during a period often days after catching the fish. It was found that the proposed intelligent system can successfully identify the number of days after catching the fish with an accuracy of up to of 91%. The results obtained from this research suggest that the proposed assessment method can be used in the design of an intelligent fish freshness assessment system.

关键词： Marine animals Intelligent sensors Sensor arrays Chemical sensors Artificial intelligence Intelligent systems Array signal processing Pattern recognition Electronic noses Immune system

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A Combined fMRI and Heart Rate Variability Paradigm for Assessment of Central Autonomic Modulation

A Combined fMRI and Heart Rate Variability Paradigm for Asse...

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international IEEE/EMBS conference on Neural Engineering, CNE

作者： Riccardo Barbieri Giulia Conti Rupali Dhond Emery N. Brown Vitaly Napadow Neuroscience Statistics Research Laboratory Department of Anesthesia and Critical Care Massachusetts General Hospital Boston MA USA Department of Biomedical Engineering Polytechnic of Milan Milan Italy Martinos Center for Biomedical Imaging Massachusetts General Hospital Boston MA USA Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA USA Center for Biomedical Imaging Massachusetts General Hospital Boston MA USA

While the central autonomic network (CAN) has been adequately defined in animal models, data from the human have been lacking. In this study, we correlated cardiac-gated fMRI data with continuous-time heart rate variability (HRV) assessment in order to estimate central autonomic processing in response to a dynamic grip task. The electrocardiogram (ECG) was collected simultaneously with fMRI, and was analyzed with a new point process adaptive filter algorithm for evaluation of HRV indices reflecting time-varying dynamics of autonomic modulation. These were correlated with fMRI signal intensity using a general linear model and subsequent analysis of covariance. Our combined HRV-fMRI data analysis suggests that fMRI activity in several brain regions, including the hypothalamus, parabrachial nucleus, periaqueductal gray, amygdala, and posterior insula, demonstrated significant correlation with parasympathetic tone assessed by HRV high frequency (HF) power. This study demonstrates that inter-subject variability in brain response to an exercise task may help explain the natural variability in autonomic response, as assessed by HRV analysis

关键词： Heart rate variability Animals Humans Electrocardiography Algorithm design and analysis Adaptive filters signal analysis data analysis Frequency Hafnium

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Enabling Technologies for Radio Networks Beyond 3G

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international JOURNAL OF WIRELESS INFORMATION NETWORKS 2007年第2期14卷 63-65页

作者： Ganesh, Rajamani Kota, Sastri L. Walke, Bernhard Technol Dev & Mkt Qualcomm Int Bombay Maharashtra India Univ Oulu Oulu Finland Rhein Westfal TH Aachen Chair Commun Networks ComNets Aachen Germany

To meet the growing demand of bandwidth intensive wireless applications andservice domains, new innovative system architectures, radio designs, resource management and qualityof service (QOS) provisioning techniques beyond 3G must be developed. Recent advances in wirelessmobile networking enable development of mobile applications in the consumer, enterprise and militarydomains. Consumers demand rich connectivity for their personal networks encompassing PCs, MP3players, cell phones and high definition TVs. In addition, applications such as mobile office,mobile VPNs and mobile broadcasting require B3G or 4G system architectures for adequate *** wireless networks of today (3G, LANs, WPANs etc.) find it challenging to provide tomorrow'sconnectivity requirements. Technologies such as Ultra Wideband (UWB) promise to provide solutionsfor bandwidth, cost and power consumption requirements of next generation consumer networks, whileproviding high data rate wireless connectivity across multiple devices.

关键词： WIRELESS communication systems DIGITAL signal processing

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Motivations and APS-based solution for high-resolution extracellular recording from in-vitro neuronal networks

Motivations and APS-based solution for high-resolution extra...

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international IEEE/EMBS conference on Neural Engineering, CNE

作者： K. Imfeld A. Garenne S. Martinoia M. Koudelka-Hep L. Berdondini Electronics and Signal Processing Laboratory of the Institute of Microtechnology University of Nauchâtel Neuchatel Switzerland INSERM-EPI-9914 Bordeaux France Department of Biophysical and Electronic Engineering University of Genova Genoa Italy Actuators and Microsystems Laboratory of the Institute of Microtechnology University of Nauchâtel Neuchatel Switzerland

Mapping neuronal networks activity of in-vitro cell cultures with microelectrode array (MEA) based systems, providing a spatial resolution down to cellular/sub-cellular levels and an adequate temporal resolution for resolving action potential propagation in both micro- and macro-circuitry, can not be achieved with the conventional implementation. New technological approaches for managing high-density electrode arrays, i.e. at least separations down to cellular dimensions, and for handling a large amount of channels, i.e. several thousands, are required. After evaluating the spatiotemporal resolutions requirements with custom designed MEAs on neuronal culture preparations, an approach based on image/video concepts reflected by both hardware and data management implementations is presented here. Our platform enables the high-resolution acquisition (full frame or zoomed), from arrays of 4096 microelectrodes integrated with separations of 21 mum and with temporal resolutions down to 10 mus, opening thus new perspectives for neuronal networks activity analysis.

关键词： Extracellular In vitro Biological neural networks Spatial resolution Microelectrodes Cellular networks Technology management Electrodes Spatiotemporal phenomena Image resolution

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The apply of the expert systems of signal processing with frequency and polarizations characteristics

The apply of the expert systems of signal processing with fr...

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3rd international conference on Ultrawideband and Ultrashort Impulse signals

作者： Karpenko, O., V Kharkiv Air Force Univ Kharkov Ukraine

This paper is devoted to studying the principles of the system construction of the signal processing with frequency and polarizations descriptions for the complex missions of air traffic control and air supervision. T... 详细信息

ISBN: (纸本)1424405130

关键词： air traffic control air surveillance control wideband radiolocation system

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Positioning support in pervasive environments

Positioning support in pervasive environments

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3rd IEEE international conference on Pervasive Services (ICPS 2006)

作者： Scuturici, Vasile-Marian Ejigu, Dejene INSA Lyon LIRIS UMR 5205 CNRS Lyon France

ISBN: (纸本)1424402379

In order to implement reactive and proactive functionalities in a pervasive environment, contextual data must be processed. One of the most important features of the context is the position of the users and the devices. In this paper, we describe a method to determine the position of a WiFi enabled device. The prediction is based on the signal strength of the available access points. The prediction model is built from a database containing the signal strength measured in some known locations. The result is the name of the room/office where the device is localised. We also present a usage scenario, in which the user/device position is used to start proactive actions in our pervasive service environment called PerSE.

关键词： data processing

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IET 3rd international conferenceMEDSIP 2006: Advances in Medical, signal and Information processing

IET 3rd International ConferenceMEDSIP 2006: Advances in Med...

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IET 3rd international conference MEDSIP 2006: Advances in Medical, signal and Information processing

ISBN: (纸本)0863416586

The proceedings contain 63 papers. The topics discussed include: approximate entropy and mutual information analysis of the electroencephalogram in Alzheimer's disease patients;electroencephalograms multiscale entropy analysis of Alzheimer's disease;PSVD: a method for robust, real time eye movement artifact rejection from the EEG;multiple cell-particle tracking based on multi-resolution block-matching using genetic algorithm;wavelet filter evaluation for HRV signal processing methods;the relationship between electrovestibulography and Parkinson's disease;electrovestibulogram (EVestG): the separation of benign paroxysmal positional vertigo and Meniere's disease;simultaneous monitoring of mechanical and electrical properties of pregnant uterus;diagnostic performance of combined tests using a generation algorithm of multiple tests with arbitrary sensitivity, specificity and correlation;and occlusal sound analysis revisited.

关键词： data processing

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Frequency, time-frequency and wavelet analysis of ECG signal

Frequency, time-frequency and wavelet analysis of ECG signal

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3rd international conference on Advanced Optoelectronics and Lasers/3rd international conference on Precision Oscillations in Electronics and Optics/1st international Workshop on Image and signal processing (MEP 2006)

作者： Avina-Cervantes, J. G. Torres-Cisneros, M. Saavedra Martinez, J. E. Pinales, Jose Univ Guanajuato FIMEE Tampico 912 Salamanca Guanjuato Mexico

ISBN: (纸本)9781424406272

The analysis and segmentation of an electrocardiogram (ECG) signal is a hard and difficult task due to its artifacts, noise and form. In this paper;we analyze the ECG signal in Frequency, applying Fourier transform, autoregressive moving average (ARMA), Multiple signal Classifications (MUSIC), as well as the short-term Fourier transform STFT, Choi-Williams and Wigner-Ville for Time frequency analysis and wavelet analysis. The analysis has been done in modified lead II (MLII) of ECGs data files of the MIT-BIH database, obtaining better results of segmentation of QRS complex by wavelet analysis.

关键词： ECG signal analysis frequency analysis time-frequency analysis wavelet analysis

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