Book Edited
1 Varun Bajaj and GR Sinha
(Editors), Modelling and Analysis of Active Biopotential Signals in Healthcare
Volume-1, IOP Series in Physics and Engineering in Medicine and Biology, In
press, 2020
2 Varun Bajaj and GR Sinha (Editors),
Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-2,
IOP Series in Physics and Engineering in Medicine and Biology, In process,
2021, https://iopscience.iop.org/bookListInfo/physics-engineering-medicine-biology-series
3 Varun Bajaj and GR Sinha (Editors),
Computer-aided Design and Diagnosis Methods for Biomedical Applications, CRC
Press Taylor and Francis, 2021.
4 Varun Bajaj and GR Sinha (Editors),
Analysis of medical modalities for improved diagnosis in modern healthcare, CRC
Press Taylor and Francis, 2021.
Book Chapter
[5] G R Sinha, Varun Bajaj,
Data Deduplication Applications in Cognitive Science and Computer Vision
Research, Data Deduplication Approaches: Concepts, Strategies, and Challenges
(Elsevier) 2020.
[4] Sachin Taran, Smith K. Khare,
Varun Bajaj, and G. R. Sinha, Classification of Motor-Imagery Tasks from EEG
Signals using Rational Dilation Wavelet Transform, Modelling and Analysis of
Active Biopotential Signals in Healthcare Volume-2 2021
[3] Smith K. Khare, Varun Bajaj, Siuly
Siuly, G R Sinha Classification of schizophrenia patients through empirical
wavelet transformation using electroencephalogram signals, Modelling and
Analysis of Active Biopotential Signals in Healthcare Volume-1 2020; 1.1-1.26
doi:10.1088/978-0-7503-3279-8ch1.
[2] Smith K Khare, Varun Bajaj, GR
Sinha, Automatic drowsiness detection based on
variational non-linear chirp mode
decomposition using electroencephalogram signals, Modelling and Analysis of
Active Biopotential Signals in Healthcare Volume-1 2020; 5.1-5.25
doi:10.1088/978-0-7503-3279-8ch5.
[1] Varun Bajajand R.B. Pachori,
Detection of human emotions using features based on the multiwavelet transform
of EEG signals, In: A.E. Hassanien and A.T. Azar (Eds.) Brain-Computer
Interfaces: Current Trends and Applications, Intelligent Systems Reference
Library by Springer-Verlag, Germany, 2015, Vol. 74, pp.215-240
Q1 =49 Q2=17 Q3=3 Q4=2
Others=2
IEEE=19 Elesvier =16 IET =11 Springer
=24 Others =3
2020=18 2019=14 2018=19 2017=9 2016=8
Before 2015=5
[73] Siuly Siuly, Smith K. Khare,
Varun Bajaj, Hua Wang and Yanchun Zhang, A Computerized Method for Automatic
Detection of Schizophrenia Using EEG Signals, IEEE Transactions on Neural
Systems and Rehabilitation Engineering, 2020, 3.34 Q1, IEEE
[72]Smith K. Khare, and Varun Bajaj,
An Evolutionary Optimized Variational Mode Decomposition for Emotion
Recognition, IEEE Sensors Journal, 2020,3.07 Q1 IEEE.
[71]Smith K. Khare, Anurag Nishad,
Abhay Upadhyay, and Varun Bajaj, Classification of emotions from EEG signals
using time-order representation based on the S-transform and convolutional
neural network, Electronics Letters, 2020, 1.232 Q1 IET.
[70] Smith Khare, Varun Bajaj, A
Facile and Flexible Motor Imagery Classification using Electroencephalogram
Signals, Computer Methods and Programs in Biomedicine, 105722, SCI, December
2020, 3.632 Q1 Elesvier.
[69] Smith Khare, Varun Bajaj,
Time-Frequency Representation and Convolutional Neural Network based Emotion
Recognition, IEEE Transactions on Neural Networks and Learning Systems, SCI,
2020, 8.793 Q1 IEEE.
[68] Smith K. Khare, Varun Bajaj, G.
R. Sinha, Adaptive Tunable Q Wavelet Transform based Emotion Identification,
IEEE Transactions on Instrumentation and Measurement, SCI
10.1109/TIM.2020.3006611, 2020, 3.67 Q1 IEEE
[67] Samrudhi Mohdiwale, Mridu Sahu, G
R Sinha, Varun Bajaj, Automated Cognitive Workload Assessment using Logical
Teaching Learning based Optimization and PROMETHEE Multi-Criteria Decision
Making Approach, IEEE Sensor Journal, SCI 10.1109/JSEN.2020.3006486, 2020,
3.07, Q1 IEEE
[66] Silvia Liberata Ullo, Smith K.
Khare, Varun Bajaj, and G. R. Sinha, Hybrid Computerized Method for
Environmental Sound Classification, IEEE Access, SCI 10.1109/ACCESS.2020.3006082,
2020, 3.67, Q1 IEEE
[65] Smith Khare, Varun Bajaj,
Optimized Tunable Q Wavelet Transform based Drowsiness Detection from
Electroencephalogram Signals, Innovation and Research in Bio-Medical
Engineering (IRBM), SCIE 2020, 1. 21-July-2020. 1.022, Q3, Elesvier
[64] Santhos Kumar A., A. Kumar, V.
Bajaj, G. K. Singh, McCulloch Algorithm inspired Cuckoo Search Optimizer based
Mammographic Image Segmentation Multimedia Tools and Applications, SCI, 2020,
2.313, Q1 Springer
[63] Sethu Venkata Raghavendra Kommuri;
HIMANSHU SINGH; Anil Kumar; Varun Bajaj, Bidimensional Empirical Mode
Decomposition Based Diffusion Filtering For Image Denoising Circuits, Systems,
and Signal Processing, SCIE, https://doi.org/10.1007/s00034-020-01404-y, 2020,
1.681, Q1 Springer
[62] Smith Khare, Varun Bajaj,
Constrained based Tunable Q Wavelet Transform for Efficient Decomposition of
EEG Signals Applied Acoustics, 163 107234 SCIE
https://doi.org/10.1016/j.apacoust.2020.107234, 2020 2.44 Q1 Springer
[61] Varun Bajaj, Sachin Taran, Smith
K. Khare, and Abdulkadir Sengur, Feature Extraction Method for Classification
of Alertness and Drowsiness States EEG Signals Applied Acoustics, 163, 107224,
SCIE, 10.1016/j.apacoust.2020.107224, 2020, 2.44 Q1, Springer
[60] Shalu Chaudhary, Sachin Taran,
Varun Bajaj, Siuly Siuly A Flexible Analytic Wavelet Transform Based Approach
for Motor-Imagery Tasks Classification in BCI Applications Computer Methods and
Programs in Biomedicine 187, 105325 SCI 10.1016/j.cmpb.2020.105325, 2020, 3.632
Q1 Elesvier
[59] Nikhil Agrawal, Anil Kumar, Varun
Bajaj, Design of Infinite impulse response filter uisng fractional derivative
constraints and hybrid particle swarn optimization, Circuits, Systems, and
Signal Processing, Accepted SCIE https://doi.org/10.1007/s00034-020-01456-0,
1.681 Q1 Springer
[58] Sachin Taran, Prakash Chandra
Sharma, Varun Bajaj, Automatic Sleep Stages Classification using Optimize
Flexible AnalyticWavelet Transform Knowledge-Based Systems 192, 105367 1--8 SCI
https://doi.org/10.1016/j.knosys.2019.105367 2020 5.101 Q1 Elesvier
[57] S. A. Kumar, A. Kumar, V. Bajaj
and G. K. Singh, An Improved Fuzzy Min-Max Neural Network for Data
Classification, in IEEE Transactions on Fuzzy Systems, vol. 28, no. 9, pp.
1910-1924, Sept. 2020, doi: 10.1109/TFUZZ.2019.2924396, 9.518 Q1 IEEE
[56] Nikhil Agrawal, Anil Kumar; Varun
Bajaj, A New Design Approach for Nearly Linear Phase Stable IIR Filter using
Fractional Derivative IEEE/CAA Journal of Automatica Sinica 7(2) 527-538
SCImago, SCIE 10.1109/JAS.2020.1003054 2020 5.129 Q1 IEEE
[55] Santhos Kumar A., Anil Kumar,
Varun Bajaj, and G. K. Singh, A novel pectoral muscle segmentation from scanned
mammograms using EMO algorithm, Biomedical Engineering Letters, 9(4), 481-496,
SCOPUS, SCImago https://doi.org/10.1007/s13534-019-00135-7 2019 3.424 Q2
Springer
[54] Sravani Chada, Sachin Taran,
Varun Bajaj, An efficient approach for physical actions classification using
surface EMG signals Health Information Science and Systems, 8(03) 1--7 SCImago
https://doi.org/10.1007/s13755-019-0092-2, 2019, Q1 Springer
[53] Fatih Demir, Abdulkadir Sengur,
Varun Bajaj and Kemal Polat, Towards the classification of heart sounds based
on convolutional deep neural network, Health Information Science and Systems,
07(16) 1--9 SCImago https://doi.org/10.1007/s13755-019-0078-0, 2019, Q1 Springer
[52] Fatih Demir, Varun Bajaj, Melih
C. Ince, Sachin Taran, Abdulkadir Sengur, Surface EMG signals and deep transfer
learning based physical action classification, Neural Computing and
Applications, 31, 8455-8462 SCIE https://doi.org/10.1007/s00521-019-04553-7
2019 4.774 Q1 Springer
[51] Saad Ahmad, Shubham Agrawal,
Samta Joshi, Sachin Taran, Varun Bajaj, Fatih Demir, and Abdulkadir Sengur
Environmental Sound Classification using Optimum Allocation Sampling based
Empirical Mode Decomposition Physica A: Statistical Mechanics and its
Applications 537 1--11 SCOPUS 10.1016/j.physa.2019.122613 2019 2.924 Q2 Elesvier
[50] Zafer Comert, Abdulkadir engr,
Yaman Akbulut, mit Budak, Adnan Fatih Kocamaz, Varun Bajaj, Efficient approach
for digitization of the cardiotocography signals Physica A: Statistical
Mechanics and its Applications 537 1--9 SCOPUS
https://doi.org/10.1016/j.physa.2019.122725 2019 2.924 Q2 Elesvier
[49] Chada Sravani, Varun Bajaj,
Sachin Taran, Abdulkadir Sengur, Flexible analytic wavelet transform based
features for physical action identification using sEMG signals, IRBM,
Innovation and Research in BioMedical Engineering, 41 (2020) 18-22 SCIE
https://doi.org/10.1016/j.irbm.2019.07.002 2019 1.022 Q3 Elesvier
[48] Umit Budak, Varun Bajaj, Yaman
Akbulut, Orhan Atilla, Abdulkadir Sengur, An Effective Hybrid Model for
EEG-Based Drowsiness Detection IEEE Sensor Journal, 19(17) 7624-7631 SCI
10.1109/JSEN.2019.2917850 2019 3.07 Q1 IEEE
[47] Varun Bajaj, Sachin Taran, Erkan
Tanyildizi, and Abdulkadir Sengur, Robust Approach based on Convolutional
Neural Networks for Identification of Focal Eeg signals IEEE Sensors Letters
2019, 03//05 2475-1472 Scopus 10.1109/LSENS.2019.2909119 2019 Q1 IEEE
[46] Sachin Taran, Varun Bajaj Emotion
recognition from single-channel EEG signals using a two-stage correlation and
instantaneous frequency-based filtering method Computer Methods and Programs in
Biomedicine 173 157-165 SCI https://doi.org/10.1016/j.cmpb.2019.03.015 2019
3.632 Q1 Elesvier
[45] Siuly Siuly, Varun Bajaj,
Abdulkadir Sengur, Yanchun Zhang An advanced analysis system for identifying
alcoholic brain state through EEG signals International Journal of Automation
and Computing 16(06) 737-747 Scopus https://doi.org/10.1007/s11633-019-1178-7
2019 2.29 Q2 Springer
[44] Sachin Taran, Varun Bajaj Sleep
Apnea Detection Using Artificial Bee Colony Optimize Hermite Basis Functions
for EEG Signals IEEE Transactions on Instrumentation and Measurement 69(02) 608-616
SCI 10.1109/TIM.2019.2902809 2019 3.607 Q1 IEEE
[43] Shalu Chaudhary, Sachin Taran,
Varun Bajaj, Abdulkadir Sengur Convolutional Neural Network Based Approach
Towards Motor Imagery Tasks EEG Signals Classification IEEE Sensors Journal
19(12) 4494- 4500 SCI 10.1109/JSEN.2019.2899645 2019 3.07 Q1 IEEE
[42] Shreya Pare, Anil Kumar, Varun
Bajaj, Girish Kumar Singh A context sensitive multilevel thresholding using
swarm based algorithms IEEE/CAA Journal of Automatica Sinica 6(6) 1471 - 1486
SCImago, SCIE 10.1109/JAS.2017.7510697 2019 5.129 Q1 IEEE
[41] Siuly SIULY, Omer F Alcin, Varun
Bajaj, A sengur, Yanchun Zhang, Exploring Hermite transformation in brain
signal analysis for the detection of epileptic seizure IET Science, Measurement
Technology 13(1) 35-41 SCI 10.1049/iet-smt.2018.5358, 2018 2.23 Q2 IET
[40] Anala Hari Krishna, Aravapalli
Bhavya Sri, KYVS Priyanka, Sachin Taran, and Varun Bajaj Emotion classification
using EEG signals based on tunable-Q wavelet transform IET Science, Measurement
and Technology 13(3) 375-380 SCI 10.1049/iet-smt.2018.5237 2018 2.23 Q2 IET
[39] Nikhil Agrawal, Anil Kumar; Varun
Bajaj A New Method for Designing of Stable Digital IIR Filter using Hybrid
Method Circuits, Systems, and Signal Processing 38(5) 2187-2226 SCIE 10.1007/s00034-018-0959-5
2018 1.681 Q2 Springer
[38] Sachin Taran, and Varun Bajaj,
Clustering Variational Mode Decomposition for Identication of Focal EEG Signals
IEEE Sensors Letters 2//4 01-04 Scopus 10.1109/LSENS.2018.2872415, 2018 Q1 IEEE
[37] Sachin Taran, and Varun Bajaj
Drowsiness Detection Using Adaptive Hermite Decomposition and Extreme Learning
Machine for Electroencephalogram Signals, IEEE Sensors Journal, 18(21),
8855-8862, SCI 10.1109/JSEN.2018.2869775, 2018 3.07 Q1 IEEE
[36] S. Pare, A. Kumar, Varun Bajaj,
and GK Singh, Image Segmentation Using Multilevel Thresholding: A Research
Review, Iranian Journal of Science and Technology, Transactions of Electrical
Engineering, 1--29 SCIE https://doi.org/10.1007/s40998-019-00251-1, 2018, 0.6
Q4 Springer
[35] Erkan Deniz, Abdulkadir engur,
Zehra Kadiroglu, Yanhui Guo, Varun Bajaj, and Umit Budak Transfer Learning
Based Histopathologic Image Classification for Breast Cancer Detection Health
Information Science and Systems 06(18), 1-7 SCImago https://doi.org/10.1007/s13755-018-0057-x
2018 Q1 Springer
[34] Varun Bajaj, Sachin Taran and
Abdulkadir Sengur, Emotion classification uing exible analytic wavelet
transform for electroencephalogram signals, Health Information Science and
Systems 06:12 1-7 SCImago https://doi.org/10.1007/s13755-018-0048-y, 2018,Q1
Springer
[33] Sukumar Nagineni, Sachin Taran,
and Varun Bajaj, Features based on variational mode decomposition for
identification of neuromuscular disorder using EMG signals Health Information
Science and Systems 06:13 1--10 SCImago
https://doi.org/10.1007/s13755-018-0050-4, 2018, Q1 Springer
[32] Sachin Taran, Varun Bajaj Motor
Imagery Tasks based EEG Signals Classification using Tunable-Q Wavelet
Transform Neural Computing and Applications 31, 6925-6932 SCIE https://doi.org/10.1007\\/s00521-018-3531-0,
2018, 4.774, Q1, Springer
[31] N. Agrawal, A. Kumar, Varun
Bajaj, and GK Singh Design of bandpass and bandstop infinite impulse response
filters using fractional derivative IEEE Transactions on Industrial Electronics
66(2) 1285-1295, SCI 10.1109/TIE.2018.2831184 2018, 7.503, Q1 IEEE
[30] Podugu Uday Kiran, Nunna Abhiram,
Sachin Taran and Varun Bajaj TQWT based features for classification of ALS and
healthy EMG signals, American Journal of Computer Science and Information
Technology 6 (2:19) 1-7 DOI: 10.21767/2349-3917.100019, 2018, 0.39 iMedPub LTD
[29] Shweta Jain, Varun Bajaj, and
Anil Kumar, Effective denoising of ECG by optimized adaptive thresholding on
noisy modes, IET Science, Measurement Technology 12(5), 640-644, SCI
http://dx.doi.org/10.1049/iet-smt.2017.0203, 2018, 2.23 Q1 IET
[28] Shweta Jain, Varun Bajaj, and
Anil Kumar, Riemann Liouvelle Fractional Integral based Empirical Mode
Decomposition for ECG Denoising IEEE Journal of Biomedical and Health Informatics
22, 4 1133--1139 SCI 10.1109/JBHI.2017.2753321, 2018, 5.223 Q1 IEEE
[27] Anchala Priya, Pooja Yadav,
Shweta Jain, Varun Bajaj An efficient method for classification of alcoholic
and normal EEG signals using EMD IET The Journal of Engineering 2018(3) 166-172
Emerging SCI doi: 10.1049/joe.2017.0878, 2018 IET
[26] Sachin Taran, Varun Bajaj Rhythm
based identification of alcohol EEG signals IET Science, Measurement and
Technology 12(3) 343-349 SCI 10.1049/iet-smt.2017.0232 2018 2.23 Q1 IET
[25] Sachin Taran, Varun Bajaj, D
Sharma, S Siuly, A Sengur Features based on analytic IMF for classifying motor
imagery EEG signals in BCI applications Measurement 116 68-76 SCIE
https://doi.org/10.1016/j.measurement.2017.10.067 2018 3.364 Q1 Elesvier
[24] S. Pare, A. K. Bhandari, A.
Kumar, and Varun Bajaj Backtracking search algorithm for color image multilevel
thresholding Signal, Image and Video Processing 12\\2 385-392 SCIE
https://doi.org/10.1007/s11760-017-1170-z 2018 1.794 Q2 Springer
[23] Varun Bajaj, Mayank Pawar, Vinod
Kumar Meena, Mukesh Kumar, Abdulkadir Sengur, and Yanhui Guo Computer Aided
Diagnosis of Breast Cancer using Bidimensional Empirical Mode Decomposition
Neural Computing and Applications 31\\8 3307--3315 SCIE
https://doi.org/10.1007/s00521-017-3282-3 2018 4.774 Q1 Springer
[22] Sachin Taran, Varun Bajaj, Siuly
SIULY An optimum allocation sampling based feature extraction scheme for
distinguishing seizure and non-seizure EEG Health Information Science and
Systems 5:7 1--7 SCImago 10.1007/s13755-017-0028-7 2017 Q1 Springer
[21] Abdulkadir Sengur, Yaman Akbulut,
Yanhui Guo, Varun Bajaj, Classification of Amyotrophic Lateral Sclerosis
Disease Based on Convolutional Neural Network and Reinforcement Sample Learning
Algorithm Health Information Science and Systems 5:9 1--7 SCImago
10.1007/s13755-017-0029-6 2017 Q1 Springer
[20] N. Agrawal, A. Kumar, and Varun
Bajaj A new design method for stable IIR filters with nearly linear-phase
response based on fractional derivative and swarm intelligence IEEE Transactions
on Emerging Topics in Computational Intelligence 1(6) 464-477.
10.1109/TETCI.2017.2748151 2017 6.043 Q1 IEEE
[19] S. Pare, A. Kumar, Varun Bajaj,
GK Singh An efficient method for multilevel color image thresholding using
Cuckoo search algorithm based on minimum cross entropy Applied Soft Computing
61 570- 592 SCIE http://dx.doi.org/10.1016/j.asoc.2017.08.039 2017 5.472 Q1
Elesvier
[18] Sachin Taran, Varun Bajaj, and D
Sharma Robust Hermite decomposition algorithm for classification of sleep apnea
EEG signals IET Electronics Letters 53, 1182-1184 SCI 10.1049/el.2017.1365 2017
1.232 Q2 IET
[17] Varun Bajaj, K Rai, A Kumar, D
Sharma, GK Singh, Rhythm based features for classification of focal and
non-focal EEG signals IET Signal Processing 11(6) 743-748 SCI
10.1049/iet-spr.2016.0435 2017 1.754 Q2 IET
[16] N. Agrwal, A. Kumar, and Varun
Bajaj Design of Digital IIR Filter with Low Quantization Error using Hybrid
Optimization Technique Soft Computing Jan-17 SCIE 10.1007/s00500-017-2548-0
2017 2.784 Q2 Springer
[15] Vipin K Mishra, Varun Bajaj, Anil
Kumar, Dheeraj Sharma, and G. K. Singh An efficient method for analysis of EMG
signals using improved empirical mode decomposition Int. J. Electron. Commun.
(AEÜ) 72 200-209 SCI http://dx.doi.org/10.1016/j.aeue.2016.12.008 2017 2.853 Q2
Elesvier
[14] Varun Bajaj, Khushnandan Rai,
Anil Kumar, and Dheeraj Sharma, Time-frequency image based features for
classification of epileptic seizure from EEG signals, Biomedical Physics and
Engineering Express 3(1) 1--12 10.1088/2057-1976/aa5199 2017 Q3 IOP
[13] S. Jain, Mitul Kumar Ahirwal,
Anil Kumar, Varun BAJAJ, and G. K. Singh QRS detection using adaptive filters:
A comparative study ISA Transactions 66 362-375 SCI
http://dx.doi.org/10.1016/j.\\isatra.2016.09.023 2016 4.343 Q1 Elesvier
[12] Nikhil Agrawal, A. Kumar, Varun
Bajaj, G. K. Singh High Order Stable Infinite Impulse Response Filter Design
using Cuckoo Search Algorithm International Journal of Automation and Computing
14(5) 589-602. Scopus 10.1007/s11633-017-1091-x 2016 2.29 Q2 Springer
[11] Vipin K Mishra, Varun Bajaj, Anil
Kumar, and G. K. Singh Analysis of ALS and normal EMG signals based on
empirical mode decomposition IET Science, Measurement and Technology 10(8) 963-
971 SCI 10.1049/iet-smt.2016.0208 2016 2.23 Q2 IET
[10] S Jain, Varun Bajaj, and A. Kumar
An efficient algorithm for classification of ECG beats based on ABC-LSSVM
classifier IET Electronics Letters 52(14) 1198-1200 SCI 10.1049/el.2016.1171
2016 1.232 Q2 IET
[9] S Jain, A. Kumar, and Varun Bajaj
Technique for QRS complex detection using particle swarm optimization (PSO) IET
Science, Measurement and Technology 10(6) 626 - 636 SCI
10.1049/iet-smt.2016.0023 2016 2.23 Q2 IET
[8] Omer F. ALCIN, Siuly SIULY, Varun
BAJAJ, Yanhui Guo, Abdulkadir SENGR, Yanchun Zhang Multi-category EEG signal
classification developing Time- Frequency Texture Features based Fisher Vector
encoding method Neurocomputing 218 SCIE
http://dx.doi.org/10.1016/j.neucom.2016.08.050 2016 4.437 Q1 Elesvier
[7] Varun Bajaj, Y. GUO, A. SENGUR, S.
SIULY, O. F. ALCIN A hybrid method based on Time-Frequency images for
classification of alcohol and control EEG signals Neural Computing and
Applications 28(12) 3717-3723 SCIE 10.1007/s00521-016-2276-x 2016 4.774 Q1
Springer
[6] S. Pare, A. Kumar, V. Bajaj, G. K.
Singh A multilevel color image segmentation technique based on cuckoo search
algorithm and energy curve Applied Soft Computing 47 76-102 SCIE
http://dx.doi.org/10.1016/j.asoc.2016.05.040 2016 5.472 Q1 Springer
[5] V. Bajaj and A. Kumar Features based
on intrinsic mode functions for classification of EMG signals International
Journal of Biomedical Engineering and Technology 18(2) 156-167 Scopus
10.1504/IJBET.2015.070035 2015 0.13 Q4 Inder-scinece
[4] V. Bajaj and R.B. Pachori,
Automatic classification of sleep stages based on the time-frequency image of
EEG signals, Computer Methods and Programs in Biomedicine 112(3) 320-328 SCI
http://dx.doi.org/10.1016/j.cmpb.2013.07.006 2013 3.632 Q1 Elesvier
[3] V. Bajaj and R.B. Pachori
Epileptic seizure detection based on the instantaneous area of analytic
intrinsic mode functions of EEG signals Biomedical Engineering Letters 3(1)
17-21 SCOPUS, SCImago 10.1007/s13534-013-0084-0 2013 3.424 Q2 Springer
[2] V. Bajaj and R.B. Pachori,
Classification of seizure and nonseizure EEG signals using empirical mode
decomposition IEEE Transactions on Information Technology in Biomedicine 16(6)
1135-1142 SCI 10.1109/TITB.2011.2181403 2012 2.493 Q1 IEEE
[1] R.B. Pachori and V. Bajaj Analysis
of normal and epileptic seizure EEG signals using empirical mode decomposition
Computer Methods and Programs in Biomedicine 104(3) 373-381 SCI
doi:10.1016/j.cmpb.2011.03.009 2011 3.632 Q1 Elesvier
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