Search Results - "Sanei, S."

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  1. 1

    Continuous Scoring of Depression From EEG Signals via a Hybrid of Convolutional Neural Networks by Hashempour, S., Boostani, R., Mohammadi, M., Sanei, S.

    “…Depression score is traditionally determined by taking the Beck depression inventory (BDI) test, which is a qualitative questionnaire. Quantitative scoring of…”
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    Journal Article
  2. 2

    Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks by Sam, A., Boostani, R., Hashempour, S., Taghavi, M., Sanei, S.

    “…Depression severity can be classified into distinct phases based on the Beck depression inventory (BDI) test scores, a subjective questionnaire. However,…”
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    Journal Article
  3. 3

    A New Adaptive Line Enhancer Based on Singular Spectrum Analysis by Sanei, Saeid, Lee, Tracey K. M., Abolghasemi, Vahid

    “…Original adaptive line enhancer (ALE) is used for denoising periodic signals from white noise. ALE, however, relies mainly on second order similarity between…”
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  4. 4

    Artifact removal from electroencephalograms using a hybrid BSS-SVM algorithm by Shoker, L., Sanei, S., Chambers, J.

    Published in IEEE signal processing letters (01-10-2005)
    “…Artifacts such as eye blinks and heart rhythm (ECG) cause the main interfering signals within electroencephalogram (EEG) measurements. Therefore, we propose a…”
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    Journal Article
  5. 5

    Pulse bubble sparging for the control of hydraulically reversible fouling in submerged hollow fiber membrane systems by Ye, D., Saadat-Sanei, S., Bérubé, P.R.

    Published in Separation and purification technology (26-02-2014)
    “…•We further quantify the potential benefits of pulse sparging for fouling control.•Shear stress magnitude cannot be used to assess the efficacy of fouling…”
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    Journal Article
  6. 6

    Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period by Tsalaile $^\ast$, Thato, Sameni, Reza, Sanei, Saeid, Jutten, Christian, Chambers, Jonathon

    “…A novel second-order-statistics-based sequential blind extraction algorithm for blind extraction of quasi-periodic signals, with time-varying period, is…”
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    Journal Article
  7. 7

    Epileptic seizure predictability from scalp EEG incorporating constrained blind source separation by Corsini, J., Shoker, L., Sanei, S., Alarcon, G.

    “…Most of the methods for prediction of epilepsy recently reported in the literature are based on the evaluation of chaotic behavior of intracranial…”
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    Journal Article
  8. 8

    Novel quaternion matrix factorisations by Enshaeifar, S., Took, C. Cheong, Sanei, S., Mandic, D. P.

    “…The recent introduction of η-Hermitian matrices A = A ηH has opened a new avenue of research in quaternion signal processing. However, the exploitation of this…”
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    Conference Proceeding Journal Article
  9. 9

    Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources by Wenwu Wang, Sanei, S., Chambers, J.A.

    Published in IEEE transactions on signal processing (01-05-2005)
    “…A new approach for convolutive blind source separation (BSS) by explicitly exploiting the second-order nonstationarity of signals and operating in the…”
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    Journal Article
  10. 10

    Diffusion Adaptation for Crowd Analysis by Falcon-Caro, A., Sanei, S.

    “…In this paper we develop a diffusion adaptation network to model the crowd movement and investigate the cooperation and self-organization ability of the people…”
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    Conference Proceeding
  11. 11

    Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound by Tsalaile, T., Naqvi, S.M., Nazarpour, K., Sanei, S., Chambers, J.A.

    “…A novel approach for separating heart sound signals (HSSs) from lung sound recordings is presented. The approach is based on blind source extraction (BSE) with…”
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    Conference Proceeding
  12. 12

    Fronto-normal gait incorporating accurate practical looming compensation by Lee, T.K.M., Belkhatir, M., Lee, P.A., Sanei, S.

    “…Gait is an emerging biometric showing promise in its use. Most research focusses on fronto-parallel (FP) gait where people walk across a camera. In this paper,…”
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    Conference Proceeding
  13. 13

    Localization of abnormal EEG sources using blind source separation partially constrained by the locations of known sources by Latif, M.A., Sanei, S., Chambers, J., Shoker, L.

    Published in IEEE signal processing letters (01-03-2006)
    “…Electroencephalogram (EEG) source localization requires a solution to an ill-posed inverse problem. The additional challenge is to solve this problem in the…”
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    Journal Article
  14. 14

    Ultrasound evaluation of patients with moderate and severe carpal tunnel syndrome by Moghtaderi, A, Sanei-Sistani, S, Sadoughi, N, Hamed-Azimi, H

    Published in Prague medical report (2012)
    “…The objective of this study is to determine cut-off points for the crosssectional areas of the median nerve proximal and distal to carpal tunnel in moderate…”
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    Journal Article
  15. 15

    A New Variable Tap-Length LMS Algorithm to Model an Exponential Decay Impulse Response by Yonggang Zhang, Chambers, J.A., Sanei, S., Kendrick, P., Cox, T.J.

    Published in IEEE signal processing letters (01-04-2007)
    “…This letter proposes a new variable tap-length least-mean-square (LMS) algorithm for applications in which the unknown filter impulse response sequence has an…”
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  16. 16

    Removal of eye blinking artifact from the electro-encephalogram, incorporating a new constrained blind source separation algorithm by Shoker, L, Sanei, S, Wang, W, Chambers, J A

    “…A robust constrained blind source separation (CBSS) algorithm has been developed as an effective means to remove ocular artifacts (OAs) from…”
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    Journal Article
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  18. 18

    Fractional Delay Estimation for Blind Source Separation and Localization of Temporomandibular Joint Sounds by Cheong Took, Clive, Sanei, Saeid, Rickard, Scott, Chambers, Jonathon, Dunne, Stephen

    “…Temporomandibular joint (TMJ) sound sources are generated from the two joints connecting the lower jaw to the temporal bone. Such sounds are important…”
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    Journal Article
  19. 19

    Fidelitous Augmentation of Human Accelerometric Data for Deep Learning by Lee, T.K.M., Chan, H.W., Leo, K.H., Chew, E., Zhao, L., Sanei, S.

    “…Time series (TS) data have consistently been in short supply but needed to train systems in prediction, modeling, classification etc. Synthesis can serve to…”
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    Conference Proceeding
  20. 20

    Underdetermined Blind Source Separation of Temporomandibular Joint Sounds by Took, C.C., Sanei, S., Chambers, J., Dunne, S.

    “…The underdetermined blind source separation problem using a filtering approach is addressed. An extension of the FastICA algorithm is devised which exploits…”
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    Journal Article