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 Charlotte Grady +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

459 results found

Adjei T, von Rosenberg W, Goverdovsky V, Powezka K, Jaffer U, Mandic Det al., Pain prediction from ECG in vascular surgery, IEEE Journal of Translational Engineering in Health and Medicine, ISSN: 2168-2372

Varicose vein surgeries are routine outpatient procedures,which areoften performed under local anaesthesia. The use of local anaesthesiaboth minimises the risk to patientsand is cost effective, however, a number of patientsstill experience pain during surgery. Surgical teams must therefore decide to administer eithera general or local anaestheticbasedon theirsubjective qualitative assessment of patient anxietyand sensitivity to pain, without any means to objectively validate their decision. To this end, we develop a 3-dimensionalpolynomial surface fit,of physiological metrics and numerical pain ratings from patients, in order tomodel thelink between the modulation ofcardiovascular responses and painin varicose vein surgeries. Spectral and structural complexity features found inheart rate variabilitysignals,recorded immediately prior to 17 varicose vein surgeries,areused as pain metrics. The so obtained pain prediction model isvalidated through aleave-one-out validation, and achievedaKappa coefficient of 0.72 (substantialagreement) and an area below a receiver operating curve of 0.97(almost perfect accuracy). This proof-of-concept study conclusively demonstrates the feasibility ofthe accurate classification of pain sensitivity, andintroduces a mathematicalmodel to aidcliniciansin the objective administration ofthe safest and most cost-effective anaesthetic toindividual patients.

JOURNAL ARTICLE

Nakamura T, Goverdovsky V, mandic D, In-ear EEG biometrics for feasible and readily collectable real-world person authentication, IEEE Transactions on Information Forensics and Security, ISSN: 1556-6013

JOURNAL ARTICLE

Nakamura T, adjei T, alqurashi Y, looney D, Morrell M, Mandic Det al., Complexity science for sleep stage classification from EEG, IEEE International Joint Conference on Neural Networks (IJCNN) 2017, Publisher: IEEE

Automatic sleep stage classification is an importantparadigm in computational intelligence and promises consider-able advantages to the health care. Most current automatedmethods require the multiple electroencephalogram (EEG) chan-nels and typically cannot distinguish the S1 sleep stage fromEEG. The aim of this study is to revisit automatic sleep stageclassification from EEGs using complexity science methods. Theproposed method applies fuzzy entropy and permutation entropyas kernels of multi-scale entropy analysis. To account for sleeptransition, the preceding and following 30 seconds of epoch datawere used for analysis as well as the current epoch. Combiningthe entropy and spectral edge frequency features extracted fromone EEG channel, a multi-class support vector machine (SVM)was able to classify 93.8% of 5 sleep stages for the SleepEDFdatabase [expanded], with the sensitivity of S1 stage was 49.1%.Also, the Kappa’s coefficient yielded 0.90, which indicates almostperfect agreement.

CONFERENCE PAPER

Ahmed MU, Chanwimalueang T, Thayyil S, Mandic DPet al., 2017, A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis, ENTROPY, Vol: 19, ISSN: 1099-4300

JOURNAL ARTICLE

Alqurashi Y, Moss J, Nakamura T, Goverdovsky V, Polkey M, Mandic D, Morrell MJet al., 2017, The Efficacy Of In-Ear Electroencephalography (eeg) To Monitor Sleep Latency And The Impact Of Sleep Deprivation, International Conference of the American-Thoracic-Society (ATS), Publisher: AMER THORACIC SOC, ISSN: 1073-449X

CONFERENCE PAPER

Chanwimalueang T, Aufegger L, Adjei T, Wasley D, Cruder C, Mandic DP, Williamon Aet al., 2017, Stage call: Cardiovascular reactivity to audition stress in musicians, PLOS ONE, Vol: 12, ISSN: 1932-6203

JOURNAL ARTICLE

Enshaeifar S, Took CC, Park C, Mandic DPet al., 2017, Quaternion Common Spatial Patterns, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, Vol: 25, Pages: 1278-1286, ISSN: 1534-4320

JOURNAL ARTICLE

Goverdovsky V, von Rosenberg W, Nakamura T, Looney D, Sharp DJ, Papavassiliou C, Morrell MJ, Mandic DPet al., 2017, Hearables: Multimodal physiological in-ear sensing., Sci Rep, Vol: 7

Future health systems require the means to assess and track the neural and physiological function of a user over long periods of time, and in the community. Human body responses are manifested through multiple, interacting modalities - the mechanical, electrical and chemical; yet, current physiological monitors (e.g. actigraphy, heart rate) largely lack in cross-modal ability, are inconvenient and/or stigmatizing. We address these challenges through an inconspicuous earpiece, which benefits from the relatively stable position of the ear canal with respect to vital organs. Equipped with miniature multimodal sensors, it robustly measures the brain, cardiac and respiratory functions. Comprehensive experiments validate each modality within the proposed earpiece, while its potential in wearable health monitoring is illustrated through case studies spanning these three functions. We further demonstrate how combining data from multiple sensors within such an integrated wearable device improves both the accuracy of measurements and the ability to deal with artifacts in real-world scenarios.

JOURNAL ARTICLE

Kanna S, Mandic DP, 2017, Self-stabilising adaptive three-phase transforms via widely linear modelling, ELECTRONICS LETTERS, Vol: 53, Pages: 875-876, ISSN: 0013-5194

JOURNAL ARTICLE

Kappel SL, Looney D, Mandic DP, Kidmose Pet al., 2017, Physiological artifacts in scalp EEG and ear-EEG, BIOMEDICAL ENGINEERING ONLINE, Vol: 16, ISSN: 1475-925X

JOURNAL ARTICLE

Li Z, Xia Y, Pei W, Wang K, Huang Y, Mandic DPet al., 2017, Noncircular Measurement and Mitigation of I/Q Imbalance for OFDM-Based WLAN Transmitters, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, Vol: 66, Pages: 383-393, ISSN: 0018-9456

JOURNAL ARTICLE

Nakamura T, Goverdovsky V, Morrell MJ, Mandic DPet al., 2017, Automatic Sleep Monitoring Using Ear-EEG, IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM, Vol: 5, ISSN: 2168-2372

JOURNAL ARTICLE

Rehman NU, Abbas SZ, Asif A, Javed A, Naveed K, Mandic DPet al., 2017, Translation invariant multi-scale signal denoising based on goodness-of-fit tests, SIGNAL PROCESSING, Vol: 131, Pages: 220-234, ISSN: 0165-1684

JOURNAL ARTICLE

Xia Y, He Y, Wang K, Pei W, Blazic Z, Mandic DPet al., 2017, A Complex Least Squares Enhanced Smart DFT Technique for Power System Frequency Estimation, IEEE TRANSACTIONS ON POWER DELIVERY, Vol: 32, Pages: 1270-1278, ISSN: 0885-8977

JOURNAL ARTICLE

Xia Y, Mandic DP, 2017, Complementary Mean Square Analysis of Augmented CLMS for Second-Order Noncircular Gaussian Signals, IEEE SIGNAL PROCESSING LETTERS, Vol: 24, Pages: 1413-1417, ISSN: 1070-9908

JOURNAL ARTICLE

Xia Y, Mandic DP, 2017, A Full Mean Square Analysis of CLMS for Second-Order Noncircular Inputs, IEEE TRANSACTIONS ON SIGNAL PROCESSING, Vol: 65, Pages: 5578-5590, ISSN: 1053-587X

JOURNAL ARTICLE

Xiang M, Took CC, Mandic DP, 2017, Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing, SIGNAL PROCESSING, Vol: 136, Pages: 81-91, ISSN: 0165-1684

JOURNAL ARTICLE

von Rosenberg W, Chanwimalueang T, Adjei T, Jaffer U, Goverdovsky V, Mandic DPet al., 2017, Resolving Ambiguities in the LF/HF Ratio: LF-HF Scatter Plots for the Categorization of Mental and Physical Stress from HRV, FRONTIERS IN PHYSIOLOGY, Vol: 8, ISSN: 1664-042X

JOURNAL ARTICLE

Akansu AN, Malioutov D, Palomar DP, Jay E, Mandic DPet al., 2016, Introduction to the Issue on Financial Signal Processing and Machin Learning for Electronic Trading, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, Vol: 10, Pages: 979-981, ISSN: 1932-4553

JOURNAL ARTICLE

Chanwimalueang T, Aufegger L, von Rosenberg W, Mandic DPet al., 2016, MODELLING STRESS IN PUBLIC SPEAKING: EVOLUTION OF STRESS LEVELS DURING CONFERENCE PRESENTATIONS, IEEE International Conference on Acoustics, Speech, and Signal Processing, Publisher: IEEE, Pages: 814-818, ISSN: 1520-6149

CONFERENCE PAPER

Cichocki A, Lee N, Oseledets I, Anh-Huy P, Zhao Q, Mandic DPet al., 2016, Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Part 1 Low-Rank Tensor Decompositions, FOUNDATIONS AND TRENDS IN MACHINE LEARNING, Vol: 9, Pages: I-+, ISSN: 1935-8237

JOURNAL ARTICLE

Douglas SC, Mandic DP, 2016, STABILITY ANALYSIS OF THE LEAST-MEAN-MAGNITUDE-PHASE ALGORITHM, IEEE International Conference on Acoustics, Speech, and Signal Processing, Publisher: IEEE, Pages: 4935-4939, ISSN: 1520-6149

CONFERENCE PAPER

Enshaeifar S, Took CC, Sanei S, Mandic DPet al., 2016, NOVEL QUATERNION MATRIX FACTORISATIONS, IEEE International Conference on Acoustics, Speech, and Signal Processing, Publisher: IEEE, Pages: 3946-3950, ISSN: 1520-6149

CONFERENCE PAPER

Goverdovsky V, Looney D, Kidmose P, Mandic DPet al., 2016, In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring, IEEE SENSORS JOURNAL, Vol: 16, Pages: 271-277, ISSN: 1530-437X

JOURNAL ARTICLE

Hemakom A, Chanwimalueang T, Carrion A, Aufegger L, Constantinides AG, Mandic DPet al., 2016, Financial Stress Through Complexity Science, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, Vol: 10, Pages: 1112-1126, ISSN: 1932-4553

JOURNAL ARTICLE

Hemakom A, Goverdovsky V, Aufegger L, Mandic DPet al., 2016, QUANTIFYING COOPERATION IN CHOIR SINGING: RESPIRATORY AND CARDIAC SYNCHRONISATION, IEEE International Conference on Acoustics, Speech, and Signal Processing, Publisher: IEEE, Pages: 719-723, ISSN: 1520-6149

CONFERENCE PAPER

Hemakom A, Goverdovsky V, Looney D, Mandic DPet al., 2016, Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain-computer interface applications, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, Vol: 374, ISSN: 1364-503X

JOURNAL ARTICLE

Jaksic V, Mandic DP, Karoumi R, Basu B, Pakrashi Vet al., 2016, Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, Vol: 441, Pages: 100-120, ISSN: 0378-4371

JOURNAL ARTICLE

Jaksic V, Mandic DP, Ryan K, Basu B, Pakrashi Vet al., 2016, A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems, ROYAL SOCIETY OPEN SCIENCE, Vol: 3, ISSN: 2054-5703

JOURNAL ARTICLE

Kanna S, Mandic DP, 2016, Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies, IEEE SIGNAL PROCESSING LETTERS, Vol: 23, ISSN: 1070-9908

JOURNAL ARTICLE

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