Saif Nalband, Aditya Sundar, A Amalin Prince, Anita Agarwal, “Feature selection and classification methodology for the detection of knee-joint disorders”, Computer methods and programs in biomedicine, Vol: 127, Pages:94-104, 2016
Saif Nalband, RR Sreekrishna, A Amalin Prince, “Analysis of knee joint vibration signals using ensemble empirical mode decomposition”, Procedia Computer Science, Vol:89 Pages:820-827 , 2016.
Saif Nalband, Amalin Prince, Anita Agrawal, “Entropy-based feature extraction and classification of vibroarthographic signal using complete ensemble empirical mode decomposition with adaptive noise”, IET Science, Measurement & Technology, Vol: 12, Pages:350-359, 2017
Saif Nalband, CA Valliappan, A Amalin Prince, Anita Agrawal, “Time- frequency-based feature extraction for the analysis of vibroarthographic signals”, Computers & Electrical Engineering, Vol: 69, Pages: 720-731. 2018
Mittal, Rakshit, A. Amalin Prince, Saif Nalband, Femi Robert, and Agastinose Ronickom Jac Fredo. “Low-power hardware accelerator for detrending measured biopotential data.” IEEE Transactions on Instrumentation and Measurement Vol: 70 Pages: 1-9 2020
Mittal, Rakshit, A. Amalin Prince, Saif Nalband, Femi Robert, and Agastinose Ronickom Jac Fredo. “Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms.” Biomedical Signal Processing and Control Vol : 69 Pages : 102927, 2021.
Publication: Conferences
E. Mascarenhas, S. Nalband, A. R. J. Fredo and A. A. Prince, “Analysis and Classification of Vibroarthrographic Signals using Tuneable ‘Q’ Wavelet Transform,” 7th International Conference on Signal Processing and Integrated Networks (SPIN), 2020, pp. 65-70,
S. A. Raurale, S. Nalband, G. B. Boylan, G. Lightbody and J. M. O’Toole, “Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG,” 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 4125-4128
S. Nalband, C. A. Valliappan, R. G. A. A. Prince and A. Agrawal, “Feature extraction and classification of knee joint disorders using Hilbert Huang transform,” 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2017, pp. 266-269
R. R. Sreekrishna, S. Nalband and A. A. Prince, “Real time cascaded moving average filter for detrending of electroencephalogram signals,” 2016 International Conference on Communication and Signal Processing (ICCSP), 2016, pp. 0745-0750