Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning

Article


Dey, M., Shiraz, A., Sharif, S., Lota, J. and Demosthenous, A. 2020. Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning. Biomedical Physics and Engineering Express. 6 (Art. 065024). https://doi.org/10.1088/2057-1976/abc133
AuthorsDey, M., Shiraz, A., Sharif, S., Lota, J. and Demosthenous, A.
Abstract

Online monitoring of electroencephalogram (EEG) signals is challenging due to the high volume of data and power requirements. Compressed sensing (CS) may be employed to address these issues. Compressed sensing using sparse binary matrix, owing to its low power features, and reconstruction/decompression using spatiotemporal sparse Bayesian learning have been shown to constitute a robust framework for fast, energy efficient and accurate multichannel bio-signal monitoring. EEG signal, however, does not show a strong temporal correlation. Therefore, the use of sparsifying dictionaries has been proposed to exploit the sparsity in a transformed domain instead. Assuming sparsification adds values, a challenge, therefore, in employing this CS framework for the EEG signal is to identify the suitable dictionary. Using real multichannel EEG data from 15 subjects, in this paper, we systematically evaluated the performance of the framework when using various wavelet bases while considering their key attributes of number of vanishing moments and coherence with sensing matrix. We identified Beylkin as the wavelet dictionary leading to the best performance. Using the same dataset, we then compared the performance of Beylkin with discrete cosine basis, often used in the literature, and the case of using no sparsifying dictionary. We further demonstrate that using dictionaries (Beylkin and DCT) may improve performance tangibly only for a high compression ratio (CR) of 80% and with smaller block sizes; as compared to when using no dictionaries.

JournalBiomedical Physics and Engineering Express
Journal citation6 (Art. 065024)
ISSN2057-1976
Year2020
PublisherIOP Publishing Ltd.
Accepted author manuscript
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Digital Object Identifier (DOI)https://doi.org/10.1088/2057-1976/abc133
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Online29 Oct 2020
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Accepted14 Oct 2020
Deposited20 Oct 2020
Copyright holder© 2020 The Authors
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Tagoe, F. T. and Sharif, M. 2017. The Future of Enterprise Security with Regards to Mobile Technology and Applications. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles
Seuwou, Patrice, Banissi, Ebad, Ubakanma, George, Sharif, M. and Healey, Ann 2017. Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
An efficient system for preprocessing confocal corneal images for subsequent analysis
Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. in: 2014 14th UK Workshop on Computational Intelligence (UKCI) IEEE.
Artificial Neural Network-Based System for PET Volume Segmentation
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2010. Artificial Neural Network-Based System for PET Volume Segmentation. International Journal of Biomedical Imaging. 2010 (105610). https://doi.org/10.1155/2010/105610
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012 (327861). https://doi.org/10.1155/2012/327861
Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study
Sharif, M., Abbod, Maysam, Sonoda, Luke I. and Sanghera, Bal 2013. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology. 4 (4), pp. 634-649. https://doi.org/10.9734/bjast/2014/5084
Preparation of 2D sequences of corneal images for 3D model building
Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205. https://doi.org/10.1016/j.cmpb.2014.01.009
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
Sharif, M., Qahwaji, R., Ipson, S. and Brahma, A. 2015. Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Applied Soft Computing. 36 (Nov.), pp. 269-282. https://doi.org/10.1016/j.asoc.2015.07.019
An efficient intelligent analysis system for confocal corneal endothelium images
Sharif, M., Qahwaji, R., Shahamatnia, E., Alzubaidi, R., Ipson, S. and Brahma, A. 2015. An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122 (3), pp. 421-436. https://doi.org/10.1016/j.cmpb.2015.09.003
In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study
Alzubaidi, Rania, Sharif, M., Qahwaji, Rami, Ipson, Stanley and Brahma, Arun 2015. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study. British Journal of Ophthalmology. 100 (1), pp. 41-55. https://doi.org/10.1136/bjophthalmol-2015-306934
5G Uniform linear arrays with beamforming and spatial multiplexing at 28 GHz, 37 GHz, 64 GHz and 71 GHz for outdoor urban communication: A two-level approach
Lota, J., Sun, Shu, Rappaport, Theodore S. and Demosthenous, Andreas 2017. 5G Uniform linear arrays with beamforming and spatial multiplexing at 28 GHz, 37 GHz, 64 GHz and 71 GHz for outdoor urban communication: A two-level approach. IEEE Transactions on Vehicular Technology. 66 (11), pp. 9972-9985. https://doi.org/10.1109/TVT.2017.2741260
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297
5G innovation opportunities-- A discussion paper
Rhodes, Dan, Barker, David, Happy, David, Humphreys, David, Lund, David, Hamid, Falaki, Varrall, Geoff, Macdonald, Graham, Lota, J., Barrett, Mark, Beach, Mark, Fitch, Michael, Green, Mike, Dohler, Mischa, Juwad, Mohaned, Jenkins, Paul, Ni, Qiang, Tafazoli, Rahim, Sivalingam, Raj, Baban, Shaswar, Fletcher, Simon, Methley, Steve, Revell, Stuart, O'Farrell, Timothy, Webb, William and Ding, Zhiguo 2016. 5G innovation opportunities-- A discussion paper. Future Technologies Network, techUK.
Power control in cognitive radios, Internet-of Things (IoT) for factories and industrial automation
Etim, Ifiok E. and Lota, J. 2016. Power control in cognitive radios, Internet-of Things (IoT) for factories and industrial automation. IEEE Conference of Industrial Electronics, IEEE IECON 2016. Florence, Italy 24 - 27 Oct 2016 IEEE. pp. 4701-4705 https://doi.org/10.1109/IECON.2016.7793782
Q-enhancement with on-chip inductor optimization for reconfigurable Δ-Σ radio-frequency ADC
Lota, J. and Demosthenous, Andreas 2015. Q-enhancement with on-chip inductor optimization for reconfigurable Δ-Σ radio-frequency ADC. IEEE 13th International New Circuits and Systems Conference (NEWCAS), 2015. Grenoble, France 07 - 10 Jun 2015 IEEE. pp. 1-4
Introduction to the Special Issue on Biomedical and Bioelectronic Circuits for Enhanced Diagnosis and Therapy
Rieger, Robert, Lota, J. and Liu, Xiao 2015. Introduction to the Special Issue on Biomedical and Bioelectronic Circuits for Enhanced Diagnosis and Therapy. IEEE Transactions on Circuits and Systems II: Express Briefs. 62 (2), pp. 101-103. https://doi.org/10.1109/TCSII.2014.2384111
Bit Error Rate performance in Power Line Communication Channels with Impulsive Noise
Najarkolaei, Ali Hosseinpour, Hosny, Wada and Lota, J. 2015. Bit Error Rate performance in Power Line Communication Channels with Impulsive Noise. Al-Dabass, David, Orsoni, Alessandra, Cant, Richard, Ibrahim, Zuwairie and Saad, Ismail (ed.) UKSim-AMSS 17 th International Conference on Computer Modelling and Simulation. Cambridge, UK 25 - 27 Mar 2015 Cambridge IEEE Computer Society. pp. 248-254
Data transfer over low-voltage European power distribution networks
Najarkolaei, Ali Hosseinpour, Lota, J. and Hosny, Wada 2012. Data transfer over low-voltage European power distribution networks. Universities Power Engineering Conference (UPEC), 47th International. Brunel University, London 04 - 07 Sep 2012 IEEE. pp. 1-5
Nonlinear Model-Based Approach for Accurate Stability Prediction of One-Bit Higher-Order Delta-Sigma (Δ-Σ)Modulators
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2013. Nonlinear Model-Based Approach for Accurate Stability Prediction of One-Bit Higher-Order Delta-Sigma (Δ-Σ)Modulators. IEEE Transactions on Instrumentation and Measurement. 62 (4), pp. 686-692.
Nonlinear Stability Prediction of Multibit Delta-Sigma Modulators for Sinusoidal Inputs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2014. Nonlinear Stability Prediction of Multibit Delta-Sigma Modulators for Sinusoidal Inputs. IEEE Transactions on Instrumentation and Measurement. 63 (1), pp. 18-26.
Accurate stability prediction of 1-bit higher-order Δ-Σ modulators for multiple-sinusoidal inputs
Lota, J. 2012. Accurate stability prediction of 1-bit higher-order Δ-Σ modulators for multiple-sinusoidal inputs. Journal of the IET Circuits, Devices & Systems. 6 (2), pp. 71-78.
Accurate stability prediction of single-bit higher-order Δ-Σ modulators for Speech Codecs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2011. Accurate stability prediction of single-bit higher-order Δ-Σ modulators for Speech Codecs. Proceedings IEEE International Symposium on Circuits & Systems -ISCAS 2011. Rio de Janeiro, Brazil 15 - 18 May 2011
ETSI Reconfigurable Radio Systems – Status and Future Directions on Software Defined Radio and Cognitive Radio Standards
Mueck, Markus, Piipponen, Antti, Dimitrakopoulos, George, Tsagkaris, Kostas, Casadevall, Fernando, Demestichas, Panagiotis, Perez-Romero, Jordi, Sallent, Oriol, Baldini, Gianmarco, Filin, Stanislav, Harada, Hiroshi, Debbah, Merouane, Haustein, Thomas, Gebert, Jens, Deschamps, Benoist, Bender, Paul, Street, Michael, Kalliojarvi, Kari, Kandeepan, Sithamparanathan, Lota, J. and Hayar, Aawatif 2010. ETSI Reconfigurable Radio Systems – Status and Future Directions on Software Defined Radio and Cognitive Radio Standards. Communications Magazine, IEEE. 48 (9), pp. 78-86.
Design of a Delta-Sigma (Δ-Σ) Based Digital-to-Analog Converter for TETRA-2 Transmitter
Lota, J. 2010. Design of a Delta-Sigma (Δ-Σ) Based Digital-to-Analog Converter for TETRA-2 Transmitter. IEEE International Instrumentation & Measurement Technology Conference. (IMTC 2010) Austin Texas USA
Stability analysis of higher-order delta-sigma modulators using the describing function method
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2006. Stability analysis of higher-order delta-sigma modulators using the describing function method. Proceedings of the IEEE International Symposium on Circuits and Systems, 2006: ISCAS 2006. IEEE, Los Alamitos, USA 593-596
Tonality index of sigma-delta modulators: a psychoacoustics model based approach
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2007. Tonality index of sigma-delta modulators: a psychoacoustics model based approach. Proceedings of the IEEE International Symposium on Circuits and Systems 2007, (ISCAS 2007). IEEE, Los Alamitos, USA
Stability Analysis of Higher-Order Delta-Sigma Modulators for Dual Sinusoidal Inputs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2007. Stability Analysis of Higher-Order Delta-Sigma Modulators for Dual Sinusoidal Inputs. Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Warsaw, Poland, May 1-3, 2007. IEEE, Los Alamitos, USA
Nonlinear-Stability Analysis of Higher Order Δ–Σ Modulators for DC and Sinusoidal Inputs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2008. Nonlinear-Stability Analysis of Higher Order Δ–Σ Modulators for DC and Sinusoidal Inputs. IEEE Transactions on Instrumentation and Measurement. 57 (3), pp. 530-542.
System and circuit level design and analysis of a 16-bit sigma-delta ADC for a TETRA-2 network mobile station application
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2008. System and circuit level design and analysis of a 16-bit sigma-delta ADC for a TETRA-2 network mobile station application. 2008 IEEE Instrumentation and Measurement Technology Conference (IMTC 2008). Victoria, British Columbia, Canada 12 - 15 May 2008 IEEE. pp. 663-667 https://doi.org/10.1109/IMTC.2008.4547119
A Study on the Effects of Accumulated and Independent Clock Jitter on Discrete-Time Delta- Sigma Modulators
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2005. A Study on the Effects of Accumulated and Independent Clock Jitter on Discrete-Time Delta- Sigma Modulators. Instrumentation and Measurement Technology Conference (IMTC 2005). Ottawa, CA 17 - 19 May 2005 IEEE. pp. 786-790