Conferences

Conference Papers

1.      N. Phukan, M.S. Manikandan, and R.B. Pachori, Convolutional neural network based atrial fibrillation detection from ECG signal, Fourth IEEE International Conference on Cognitive Computing and Information Processing (CCIP-2022), 23-24 December, 2022, Bengaluru, India.

2.      A. Mondal, M.S. Manikandan, and R.B. Pachori, Convolutional neural network based ECG quality assessment using derivative signal, Fourth IEEE International Conference on Cognitive Computing and Information Processing (CCIP-2022), 23-24 December, 2022, Bengaluru, India.

3.      V.G. Yamalakonda, R.B. Pachori, and A.K. Singh, State estimation of Van-der Pol oscillator from noisy sensor measurement, IEEE 19th India Council International Conference (INDICON 2022), 24-26 November, 2022, Cochin, India.

4.      K. Das, P. Verma, and R.B. Pachori, Assessment of chanting effects using EEG signals, XXIV International Conference on Digital Signal Processing and Its Applications (DSPA-2022), 30 March-1 April, 2022, Moscow, Russia.

5.  P.K. Chaudhary, S. Jain, T. Damani, S. Gokharu, and R.B. Pachori, Automatic diagnosis of type of glaucoma using order-one 2D-FBSE-EWT, XXIV International Conference on Digital Signal Processing and Its Applications (DSPA-2022), 30 March-1 April, 2022 , Moscow, Russia.

6.  K. Jyoti, S. Sushma, R.B. Pachori, and S. Mukherjee, Memrisitve crossbar-based window function as activation function for artificial neural network, 21st International Workshop on Physics of Semiconductor Devices (IWPSD), 14-17 December, 2021, IIT Delhi and SSPL, Delhi, India.

7.  P.K. Chaudhary and R.B. Pachori, Automatic diagnosis of COVID-19 and pneumonia using FBD method, IEEE International Conference on Bioinformatics & Biomedicine, Seoul, S. Korea, 16-19 December, 2020.

8.  V.K. Singh and R.B. Pachori, Sliding eigenvalue decomposition for non-stationary signal analysis, International Conference on Signal Processing and Communication (SPCOM), July, 2020, Bangalore, India.

9.  V. Gupta, A. Nishad, and R.B. Pachori, Focal EEG signal detection based on constant-bandwidth TQWT filter-banks, 2018 IEEE International Conference on Bioinformatics and Biomedicine, 03-06 December, 2018, Madrid, Spain.

10. M. Tanveer, R.B. Pachori, and N.V. Victoria, Classification of seizure and seizure-free EEG signals using Hjorth parameters, 2018 Symposium Series on Computational   Intelligence, 18-21 November, 2018, Bengaluru, India.

11.  A. Bhattacharyya, L. Singh, and R.B. Pachori, Identification of epileptic seizures from scalp EEG signals based on TQWT, International Conference on Machine Intelligence and Signal Processing, 22-24 December, 2017, Indore, India.

12.  M. Sharma, P. Sharma, R.B. Pachori, and V.M. Gadre, Double density dual-tree complex wavelet transform based features for automated screening of knee-joint vibroarthrographic signals, International Conference on Machine Intelligence and Signal Processing, 22-24 December, 2017, Indore, India.

13.  R.R. Sharma, M. Kumar, and R.B. Pachori, Automated CAD identification system using time-frequency representation based on eigenvalue decomposition of ECG signals, International Conference on Machine Intelligence and Signal Processing, 22-24 December, 2017, Indore, India.

14.  R.R. Sharma, P. Chandra, and R.B. Pachori, Electromyogram signal analysis using eigenvalue decomposition of the Hankel matrix, International Conference on Machine Intelligence and Signal Processing, 22-24 December, 2017, Indore, India.

15.  V. Gupta and R.B. Pachori, A new method for classification of focal and non-focal EEG signals, International Conference on Machine Intelligence and Signal Processing, 22-24 December, 2017, Indore, India.

16.  A. Bhattacharyya, V. Gupta, and R.B. Pachori, Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum, 22nd International Conference on Digital Signal Processing, 23-25 August, 2017, London, UK.

17.  V. Gupta, A. Bhattacharyya, and R.B. Pachori, Classification of seizure and non-seizure EEG signals based on EMD-TQWT method, 22nd International Conference on Digital Signal Processing, 23-25 August, 2017, London, UK.

18.  R.R. Sharma and R.B. Pachori, A new method for non-stationary signal analysis using eigenvalue decomposition of the Hankel matrix and Hilbert transform, International Conference on Signal Processing & Integrated Networks, 11-12 February, 2017, Noida, India.

19.  S. Patidar and R.B. Pachori, Tunable-Q wavelet transform based optimal compression of cardiac sound signals, IEEE Tencon Conference, 22-25 November, 2016, Singapore.

20.  A. Upadhyay and R.B. Pachori, A new method for determination of instantaneous pitch frequency from speech signals, IEEE Signal Processing and Signal Processing Education Workshop, 09-12 August, 2015, Salt Lake City, Utah, USA.

21.  R.B. Pachori, Automatic diagnosis of epilepsy using non-stationary signal decomposition based methods, International Conference on Significant Advances in Biomedical Engineering, Philadelphia, USA, 27-29 April, 2015.

22.  S. Patidar, R.B. Pachori, and N. Garg, Detection of septal defects from cardiac sound signals using tunable-Q wavelet transform, IEEE International Conference on Digital Signal Processing, 20-23 August, 2014, Hong Kong.

23.  R.B. Pachori and J.-L. Kim, Comparison of the health care function by head movement, The 1st International Conference on Contents, Platform, Network and Device, 10 July-13 July, 2014, Pusan, Korea.

24.  R. Sharma, R.B. Pachori, and S. Gautam, Empirical mode decomposition based classification of focal and non-focal EEG signals, IEEE International Conference on Medical Biometrics, 30 May-01 June, 2014, Shenzhen, China.

25.  V. Bajaj and R.B. Pachori, Human emotion classification from EEG signals using multiwavelet transform, IEEE International Conference on Medical Biometrics, 30 May-01 June, 2014, Shenzhen, China.

26.  P. Jain and R.B. Pachori, GCI identification from voiced speech using the eigen value decomposition of Hankel matrix, IEEE 8th International Symposium on Image and Signal Processing and Analysis, pp. 371-376, 04-06 September, 2013, Trieste, Italy.

27.  S. Patidar and R.B. Pachori, A continuous wavelet transform based method for detecting heart valve disorders using phonocardiograph signals, International Conference on Convergence and Hybrid Information Technology, CCIS 310, pp. 513-520, 23-25 August, 2012, Daejeon, South Korea.

28.  V. Bajaj and R.B. Pachori, Separation of rhythms of EEG signals based on Hilbert-Huang transformation with application to seizure detection, International Conference on Convergence and Hybrid Information Technology, LNCS 7425, pp. 493-500, 23-25 August, 2012, Daejeon, South Korea.

29.  V. Bajaj and R.B. Pachori, EEG signal classification using empirical mode decomposition and support vector machine, International Conference on Soft Computing for Problem Solving, AISC 131, pp. 623-635, 20-22 December, 2011, Roorkee, India.

30.  V. Bajaj and R.B. Pachori, Application of the sample entropy for discrimination between seizure and seizure-free EEG signals, 5th Indian International Conference on Artificial Intelligence, pp. 1232-1247, 14-16 December, 2011, Tumkur, India.

31.  P. Jain and R.B. Pachori, A new approach for glottal closure instants detection from speech signals, 5th Indian International Conference on Artificial Intelligence, pp. 1216-1231, 14-16 December, 2011, Tumkur, India.

32.  R.B. Pachori and D. Hewson, Identification of time-varying effects of sensory perturbations for postural stability analysis, 5th Indian International Conference on Artificial Intelligence, pp. 1280-1292, 14-16 December, 2011, Tumkur, India.

33.  R.B. Pachori, J. Gadewadikar, and O. Kuljaca, Classification of EEG signals based on empirical mode decomposition and Bayesian networks application, Seventy-Fifth Annual Meeting, University of Southern Mississippi, USA, 17-18 February, 2011 (Abstract Issue of Journal of the Mississippi Academy of Sciences, vol. 56, no. 1, pp. 101, Jan 2011).