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ORCIDNatarajan Sriraam
Person information
- affiliation: Ramaiah Institute of Technology, Center for Medical Electronics and Computing, Bangalore, India
- affiliation: SSN College of Engineering, Center for Biomedical Informatics and Signal Processing, Chennai, India
- affiliation (PhD 2007): Multimedia University (MMU), Center for Multimedia Computing, Cyberjaya, Malaysia
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2020 – today
- 2024
[j31]Natarajan Sriraam
, Avvaru Srinivasulu:
Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes. Multim. Tools Appl. 83(24): 65149-65188 (2024)- 2023
- [j30]Natarajan Sriraam, Punyaprabha V, Sushma TV, Suresh S:
Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography. Medical Biol. Eng. Comput. 61(7): 1723-1744 (2023) - 2021
- [j29]Basavaraj Hiremath, Natarajan Sriraam, B. R. Purnima, Nithin N. S., Suresh Babu Venkatasamy, Megha Narayanan:
EEG-Based Demarcation of Yogic and Non-Yogic Sleep Patterns Using Power Spectral Analysis. Int. J. E Health Medical Commun. 12(6): 1-18 (2021) - [j28]Natarajan Sriraam:
EMG-Based Essential Tremor Detection Using PSD Features With Recurrent Feedforward Back Propogation Neural Network. Int. J. E Health Medical Commun. 12(6): 1-16 (2021) - 2020
- [j27]Shivarudhrappa Raghu, Natarajan Sriraam, Erik D. Gommer, Danny M. W. Hilkman, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben:
Adaptive median feature baseline correction for improving recognition of epileptic seizures in ICU EEG. Neurocomputing 407: 385-398 (2020) - [j26]Shivarudhrappa Raghu, Natarajan Sriraam, Shyam Vasudeva Rao, Alangar Sathyaranjan Hegde, Pieter Leonard Kubben:
Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG. Neural Comput. Appl. 32(13): 8965-8984 (2020) - [j25]Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben:
EEG based multi-class seizure type classification using convolutional neural network and transfer learning. Neural Networks 124: 202-212 (2020)
2010 – 2019
- 2019
- [j24]Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Alangar Satyaranjandas Hegde, Pieter Leonard Kubben:
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier. Comput. Biol. Medicine 110: 127-143 (2019) - [j23]Shivarudhrappa Raghu, Natarajan Sriraam, Alangar Sathyaranjan Hegde, Pieter Leonard Kubben:
A novel approach for classification of epileptic seizures using matrix determinant. Expert Syst. Appl. 127: 323-341 (2019) - [c2]Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben:
A convolutional neural network based framework for classification of seizure types. EMBC 2019: 2547-2550 - 2018
- [j22]Natarajan Sriraam, Shivarudhrappa Raghu, Kadeeja Tamanna, Leena Narayan, Mehraj Khanum, Alangar Satyaranjandas Hegde, Anjani Bhushan Kumar:
Automated epileptic seizures detection using multi-features and multilayer perceptron neural network. Brain Informatics 5(2) (2018) - [j21]Shivarudhrappa Raghu, Natarajan Sriraam:
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms. Expert Syst. Appl. 113: 18-32 (2018) - [j20]Shivarudhrappa Raghu, Natarajan Sriraam, Govindaiah Pradeep Kumar, Alangar Satyaranjandas Hegde:
A Novel Approach for Real-Time Recognition of Epileptic Seizures Using Minimum Variance Modified Fuzzy Entropy. IEEE Trans. Biomed. Eng. 65(11): 2612-2621 (2018) - 2017
- [j19]T. K. Padma Shri, Natarajan Sriraam:
Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP's in multichannel EEGs. Brain Informatics 4(2): 147-158 (2017) - [j18]T. K. Padma Shri, Natarajan Sriraam:
Comparison of t-test ranking with PCA and SEPCOR feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms. Biomed. Signal Process. Control. 31: 499-512 (2017) - [j17]Shivarudhrappa Raghu, Natarajan Sriraam:
Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures. Expert Syst. Appl. 89: 205-221 (2017) - [j16]Natarajan Sriraam, Shivarudhrappa Raghu:
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier. J. Medical Syst. 41(10): 160:1-160:14 (2017) - 2016
- [j15]T. K. Padma Shri, Natarajan Sriraam:
Spectral entropy feature subset selection using SEPCOR to detect alcoholic impact on gamma sub band visual event related potentials of multichannel electroencephalograms (EEG). Appl. Soft Comput. 46: 441-451 (2016) - 2012
- [j14]Natarajan Sriraam:
Correlation dimension based lossless compression of EEG signals. Biomed. Signal Process. Control. 7(4): 379-388 (2012) - [j13]Natarajan Sriraam:
EEG based automated detection of auditory loss: A pilot study. Expert Syst. Appl. 39(1): 723-731 (2012) - [j12]R. Arvind, B. Karthik, Natarajan Sriraam:
Multi-feature Characterization of Epileptic Activity for Construction of an Automated Internet-based Annotated Classification. J. Medical Syst. 36(3): 1155-1163 (2012) - 2011
- [j11]Natarajan Sriraam, R. Shyamsunder:
3-D medical image compression using 3-D wavelet coders. Digit. Signal Process. 21(1): 100-109 (2011) - 2010
- [j10]Pravin Kumar Subbaraj, Natarajan Sriraam, Prabhu G. Benakop, B. C. Jinaga:
Entropies based detection of epileptic seizures with artificial neural network classifiers. Expert Syst. Appl. 37(4): 3284-3291 (2010)
2000 – 2009
- 2009
- [j9]Natarajan Sriraam, J. Roopa, M. Saranya, M. Dhanalakshmi:
Performance Evaluation of Computer Aided Diagnostic Tool (CAD) for Detection of Ultrasonic Based Liver Disease. J. Medical Syst. 33(4): 267-274 (2009) - 2008
- [j8]Natarajan Sriraam, Chikkannan Eswaran:
Performance Evaluation of Neural Network and Linear Predictors for Near-Lossless Compression of EEG Signals. IEEE Trans. Inf. Technol. Biomed. 12(1): 87-93 (2008) - [j7]Natarajan Sriraam, Chikkannan Eswaran:
An Adaptive Error Modeling Scheme for the Lossless Compression of EEG Signals. IEEE Trans. Inf. Technol. Biomed. 12(5): 587-594 (2008) - 2007
- [j6]R. Shyamsunder, Chikkannan Eswaran, Natarajan Sriraam:
Compression of Patient Monitoring Video Using Motion Segmentation Technique. J. Medical Syst. 31(2): 109-116 (2007) - [j5]K. Basu, Natarajan Sriraam, R. J. A. Richard:
A Pattern Matching Approach for the Estimation of Alignment Between Any Two Given DNA Sequences. J. Medical Syst. 31(4): 247-253 (2007) - [j4]V. Srinivasan, Chikkannan Eswaran, Natarajan Sriraam:
Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks. IEEE Trans. Inf. Technol. Biomed. 11(3): 288-295 (2007) - 2006
- [j3]R. Shyamsunder, Chikkannan Eswaran, Natarajan Sriraam:
Medical image compression using 3-D Hartley transform. Comput. Biol. Medicine 36(9): 958-973 (2006) - [j2]B. Ramakrishnan, Natarajan Sriraam:
Internet transmission of DICOM images with effective low bandwidth utilization. Digit. Signal Process. 16(6): 825-831 (2006) - [j1]Natarajan Sriraam, Chikkannan Eswaran:
Context Based Error Modeling for Lossless Compression of EEG Signals Using Neural Networks. J. Medical Syst. 30(6): 439-448 (2006) - 2003
- [c1]Natarajan Sriraam, Chikkannan Eswaran:
Generalized Regression Neural Network Predictors for Lossless EEG Signal Compression. CITA 2003: 53-55
Coauthor Index
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last updated on 2024-08-03 21:17 CEST by the dblp team
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