[1] Wallstrom GL, Kass RE, Miller A, Cohn JF, Fox NA. Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods. International journal of psychophysiology. 2004 Jul 1;53(2):105-19.
[2] Knight JN. Signal fraction analysis and artifact removal in EEG (Doctoral dissertation, Colorado State University).
[3] Makeig S, Bell AJ, Jung TP, Sejnowski TJ. Independent component analysis of electroencephalographic data. InAdvances in neural information processing systems 1996 (pp. 145-151).
[4] Izadi V, Shahri PK, Ahani H. A compressed-sensing-based compressor for ECG. Biomedical engineering letters. 2020 Feb 6:1-9.
[5] Zikov T, Bibian S, Dumont GA, Huzmezan M, Ries CR. A wavelet based de-noising technique for ocular artifact correction of the electroencephalogram. InProceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society][Engineering in Medicine and Biology 2002 Oct 23 (Vol. 1, pp. 98-105). IEEE.
[6] MOHAMED AF, MODIR A, SHAH KY, TANSEL I. Control of the Building Parameters of Additively Manufactured Polymer Parts for More Effective Implementation of Structural Health Monitoring (SHM) Methods. Structural Health Monitoring 2019. 2019..
[7] Mohamed AF, Modir A, Tansel IN, Uragun B. Detection of Compressive Forces Applied to Tubes and Estimation of Their Locations with the Surface Response to Excitation (SuRE) Method. In2019 9th International Conference on Recent Advances in Space Technologies (RAST) 2019 Jun 11 (pp. 83-88). IEEE.
[8] Surakanti SR, Khoshnevis SA, Ahani H, Izadi V. Efficient Recovery of Structrual Health Monitoring Signal based on Kronecker Compressive Sensing. International Journal of Applied Engineering Research. 2019;14(23):4256-61.
[9] Izadi V, Abedi M, Bolandi H. Verification of reaction wheel functional model in HIL test-bed. In2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) 2016 Jan 27 (pp. 155-160). IEEE.
[10] Izadi V, Abedi M, Bolandi H. Supervisory algorithm based on reaction wheel modelling and spectrum analysis for detection and classification of electromechanical faults. IET Science, Measurement & Technology. 2017 Aug 1;11(8):1085-93.
[11] He P, Wilson G, Russell C. Removal of ocular artifacts from electro-encephalogram by adaptive filtering. Medical and biological engineering and computing. 2004 May 1;42(3):407-12.
[12] Castellanos NP, Makarov VA. Recovering EEG brain signals: artifact suppression with wavelet enhanced independent component analysis. Journal of neuroscience methods. 2006 Dec 15;158(2):300-12.
[13] Babu PA, Prasad KV. Removal of ocular artifacts from EEG signals by fast RLS algorithm using wavelet transform. International Journal of Computer Applications. 2011 May 4;21(4):1-5.
[14] Adnani AA, Dokami A, Morovati M. Fault detection in high speed helical gears considering signal processing method in real simulation. Latin American Journal of Solids and Structures. 2016 Nov;13(11):2113-40.
[15] E. Ahani, T. Toliyat, M. Mahmoudi Rad, “Comparing size particle, release study and cytotoxicity activity of PHMB encapsulated in different liposomal formulations: neutral and cationic liposomes”, Bioengineering Research, 1(3) (2019) 1-6.
[16] Ahani H, Familian M, Ashtari R. Optimum Design of a Dynamic Positioning Controller for an Offshore Vessel. Journal of Soft Computing and Decision Support Systems. 2020 Feb 6;7(1):13-8.
[17] Sheikhshahrokhdehkordi M, Goudarzi N, Saffaraval F, Mousavi sani S, Tkacik P. A TomoPIV Flow Field Study of NACA 63-215 Hydrofoil With CFD Comparison. InFluids Engineering Division Summer Meeting 2019 Jul 28 (Vol. 59070, p. V004T04A039). American Society of Mechanical Engineers.
[18] Mousavi sani S, Goudarzi N, Sheikhshahrokhdehkordi M, Bisel T, Dahlberg J, Tkacik P. Exploring and Improving the Flow Characteristics of an Empty Water Channel Test Section: The Application of TomoPIV and Flowrate Sensors for Whole-Flow-Field Visualization. InFluids Engineering Division Summer Meeting 2019 Jul 28 (Vol. 59070, p. V004T04A040). American Society of Mechanical Engineers.
[19] Brunner C, Leeb R, Müller-Putz G, Schlögl A, Pfurtscheller G. BCI Competition 2008–Graz data set A. Institute for Knowledge Discovery (Laboratory of Brain-Computer Interfaces), Graz University of Technology. 2008;16.
[20] Shahabi H, Moghimi S, Zamiri-Jafarian H. EEG eye blink artifact removal by EOG modeling and Kalman filter. In2012 5th International Conference on BioMedical Engineering and Informatics 2012 Oct 16 (pp. 496-500). IEEE.
[21] He P, Kahle M, Wilson G, Russell C. Removal of ocular artifacts from EEG: a comparison of adaptive filtering method and regression method using simulated data. In2005 IEEE Engineering in Medicine and Biology 27th Annual Conference 2006 Jan 17 (pp. 1110-1113). IEEE.
[22] Jiang X, Bian GB, Tian Z. Removal of artifacts from EEG signals: a review. Sensors. 2019 Jan;19(5):987.