Imperial College London

ProfessorDaniloMandic

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

622 results found

Liu W, Mandic DP, Cichocki A, 2008, Blind source separation based on generalised canonical correlation analysis and its adaptive realization, 1st International Congress on Image and Signal Processing, Publisher: IEEE COMPUTER SOC, Pages: 417-421

Conference paper

Yuan Y, Li Y, Yu D, Mandic DPet al., 2008, Automated detection of epileptic seizure using artificial neural network, Pages: 1959-1962

The embedding dimension of electroencephalogram (EEG) time series is used as the input feature of artificial neural network for detecting epileptic seizure automatedly. Cao's method is applied for computing the embedding dimension of normal and epileptic EEG time series. The probabilistic neural networks (PNN) is used in this paper for the automated detection of epilepsy. The results show that the overall accuracy as high as 100% can be achieved by using the method proposed in this paper. An interesting phenomenon is also found by Cao's method that normal EEG time series is of randomness, whereas epileptic EEG time series is of some degree of determinacy, which means that epileptic EEG time series can be predicted well. © 2008 IEEE.

Conference paper

Yuan Y, Li Y, Yu D, Mandic DPet al., 2008, Delay time-based epileptic EEG detection using artificial neural network, Pages: 502-505

The electroencephalogram (EEG) signal is very important for the diagnosis of epilepsy. The EEG recordings of the ambulatory recording systems generate very lengthy data and the detection of the epileptic activity requires a time-consuming analysis of the entire length of the EEG data by an expert. A neural-network-based automated epileptic EEG detection method is proposed in this paper, which uses delay time as the input feature of an artificial neural network. Mutual information method is applied in this paper for computing the delay time parameter of EEG signals. The results indicate that the delay time values of EEG signals during an epileptic seizure become larger than those of normal EEG signals obviously, and then this phenomenon is utilized for automated epileptic EEG detection combined with probabilistic neural networks (PNN). Delay time parameter is used as the input feature of the neural network for the first time for the detection of epilepsy. It is shown that the overall accuracy as high as 100% can be achieved by using the method proposed in this paper. © 2008 IEEE.

Conference paper

Looney D, Mandic DP, 2008, A machine learning enhanced empirical mode decomposition, 33rd IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 1897-1900, ISSN: 1520-6149

Conference paper

Looney D, Mandic DP, 2008, FUSION OF VISUAL AND THERMAL IMAGES USING COMPLEX EXTENSIONS OF EMD, 2nd ACM/IEEE International Conference on Distributed Smart Cameras, Publisher: IEEE, Pages: 434-441

Conference paper

Chen M, Mandic DP, Kidmose P, Ungstrup Met al., 2008, Qualitative assessment of intrinsic mode functions of empirical mode decomposition, 33rd IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 1905-+, ISSN: 1520-6149

Conference paper

Looney D, Li L, Rutkowski TM, Mandic DP, Cichocki Aet al., 2008, Ocular Artifacts Removal from EEG Using EMD, 1st International Conference on Cognitive Neurodynamics, Publisher: HUMANA PRESS INC, Pages: 831-835

Conference paper

Xia Y, Mandic DP, Van Hulle MM, Principe JCet al., 2008, A COMPLEX ECHO STATE NETWORK FOR NONLINEAR ADAPTIVE FILTERING, IEEE Workshop on Machine Learning for Signal Processing, Publisher: IEEE, Pages: 404-+, ISSN: 1551-2541

Conference paper

Leong WY, Mandic DP, 2008, Cascaded approach for microsleep data extraction, 33rd IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 2045-2048, ISSN: 1520-6149

Conference paper

Rutkowski TM, Cichocki A, Mandic DP, 2008, Analysis of brain responses to musical, steady-state auditory and environmental noise stimuli-A BMI feature extraction approach, NEUROSCIENCE RESEARCH, Vol: 61, Pages: S252-S252, ISSN: 0168-0102

Journal article

Mandic DP, Vayanos P, Javidi S, Jelfs B, Aihara Ket al., 2008, Online tracking of the degree of nonlinearity within complex signals, 33rd IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 2061-+, ISSN: 1520-6149

Conference paper

Jelfs B, Xia Y, Mandic DP, Douglas SCet al., 2008, COLLABORATIVE ADAPTIVE FILTERING IN THE COMPLEX DOMAIN, IEEE Workshop on Machine Learning for Signal Processing, Publisher: IEEE, Pages: 421-+, ISSN: 1551-2541

Conference paper

Rutkowski TM, Mandic DP, Cichocki A, Przybyszewski AWet al., 2008, EMD approach to multichannel EEG data the amplitude and phase synchrony analysis technique, 4th International Conference on Intelligent Computing, Publisher: SPRINGER-VERLAG BERLIN, Pages: 122-+, ISSN: 0302-9743

Conference paper

Took CC, Mandic D, 2008, FUSION OF HETEROGENEOUS DATA SOURCES: A QUATERNIONIC APPROACH, IEEE Workshop on Machine Learning for Signal Processing, Publisher: IEEE, Pages: 456-461, ISSN: 1551-2541

Conference paper

Chen M, Gautama T, Mandic DP, 2008, An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks, IEEE Transactions on Neural Networks, Vol: 19, Pages: 183-189

Journal article

Leong WY, Liu W, Mandic DP, 2008, Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing, Neurocomputing, Vol: 17, Pages: 2344-2355

Journal article

Yuan Y, Li Y, Mandic DP, 2008, Comparative analysis of embedding dimensions in normal and epileptic EEG, Journal of Physiological Sciences, Vol: 58, Pages: 239-247

Journal article

Leong WY, Mandic DP, 2008, Post-nonlinear blind extraction in the presence of ill-conditioned mixing, IEEE Transactions on Circuits and Systems I, Vol: 58, Pages: 2631-2638

Journal article

Chen M, Mandic DP, Rutkowski TM, Cichocki Aet al., 2007, Signal modality characterisation of EEG with response to steady-state auditory and visual BCI paradigms, Pages: 223-228

Novel nonlinear dynamical analysis of the electroencephalogram (EEG) data recorded in steady state brain stimulation paradigms is provided. This is achieved based on some recent developments in the local predictability in phase space, which allows for the assessment of the degree of nonlineariry and uncertainty within the EEG data. Both the responses from the visual and auditory experiments are addressed, based on the auditory steady-state responses (ASSR) and steady-state visual evoked potentials (SSVEP). Simulation results show clear difference in the degree of nonlineariry and uncertainty between the segments of EEG data recorded before, during and after the stimulus. This provides a novel insight into the dynamics of the brain information processing mechanism captured in EEG. © 2007 IEEE.

Conference paper

Rutkowski TM, Mandic D, Barros AK, 2007, A multimodal approach to communicative interactivity classification, JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, Vol: 49, Pages: 317-328, ISSN: 0922-5773

Journal article

Golz M, Sommer D, Chen M, Mandic D, Trutschel Uet al., 2007, Feature fusion for the detection of microsleep events, JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, Vol: 49, Pages: 329-342, ISSN: 0922-5773

Journal article

Palaniappan R, Mandic DP, 2007, EEG based biometric framework for automatic identity verification, JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, Vol: 49, Pages: 243-250, ISSN: 0922-5773

Journal article

Palaniappan R, Mandic DP, 2007, Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?, International Journal of VLSI Signal Processing Systems, Special Issue on Data F, Vol: 49, Pages: 243-250

Journal article

Sommer D, Chen M, Golz M, Trutschell U, Mandic DPet al., 2007, Fusion of State Space and Frequency Domain Features for Improved Microsleep Detection, International Journal of VLSI Signal Processing Systems, Special Issue on Data F, Vol: 49, Pages: 329-342

Journal article

Rutkowski TM, Mandic DP, 2007, Communicative Interactivity - A Multimodal Communicative Situation Classification Approach, International Journal of VLSI Signal Processing Systems, Special Issue on Data F, Vol: 49, Pages: 317-328

Journal article

Rutkowski TM, Mandic DP, 2007, Modeling Communication Atmosphere, Conversational Informatics: An Engineering Approach, Pages: 353-369, ISBN: 9780470026991

Book chapter

Goh SL, Mandic DP, 2007, An Augmented CRTRL For Complex-Valued Recurrent Neural Networks, Neural Networks, Vol: 20, Pages: 1061-1066

Journal article

Marques de Sa J, Alexandre L, Duch W, Mandic DPet al., 2007, Proceedings of the International Conference Artificial Neural Networks (ICANN'07): Part II Edited conference Proceedings, Lecture Notes in Computer Science, LNCS 4669, Publisher: Springer

Book

Chen M, Mandic DP, Rutkowski T, Cichocki Aet al., 2007, Signal Modality Characterisation Of EEG With Response To Steady-State, Pages: 223-228

Conference paper

Mandic DP, Javidi S, Souretis G, Goh VSLet al., 2007, Why a Complex Valued Solution for a Real Domain Problem, Pages: 384-389

Conference paper

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