Natarajan Sriraam

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 18

Top Topics

Epileptic Seizures

Pattern Recognition

Top Venues

Expert Syst. Appl.

Brain Informatics

Int. J. E Health Medical Commun.

Biomed. Signal Process. Control.

Publications

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) (2024)
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) (2023)
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) (2021)
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) (2021)
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) (2020)
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 (2020)
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 (2020)
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 (2019)
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 (2019)
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)
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)
Shivarudhrappa Raghu, Natarajan Sriraam
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms. Expert Syst. Appl. 113 (2018)
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) (2018)
Natarajan Sriraam, Shivarudhrappa Raghu
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier. J. Medical Syst. 41 (10) (2017)
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) (2017)
Shivarudhrappa Raghu, Natarajan Sriraam
Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures. Expert Syst. Appl. 89 (2017)
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 (2017)
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 (2016)
Natarajan Sriraam
Correlation dimension based lossless compression of EEG signals. Biomed. Signal Process. Control. 7 (4) (2012)
Natarajan Sriraam
EEG based automated detection of auditory loss: A pilot study. Expert Syst. Appl. 39 (1) (2012)
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) (2012)
Natarajan Sriraam, R. Shyamsunder
3-D medical image compression using 3-D wavelet coders. Digit. Signal Process. 21 (1) (2011)
Pravin Kumar Subbaraj, Natarajan Sriraam, P. G. Benakop, B. C. Jinaga
Entropies based detection of epileptic seizures with artificial neural network classifiers. Expert Syst. Appl. 37 (4) (2010)
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) (2009)
Natarajan Sriraam, C. Eswaran
An Adaptive Error Modeling Scheme for the Lossless Compression of EEG Signals. IEEE Trans. Inf. Technol. Biomed. 12 (5) (2008)
Natarajan Sriraam, C. Eswaran
Performance Evaluation of Neural Network and Linear Predictors for Near-Lossless Compression of EEG Signals. IEEE Trans. Inf. Technol. Biomed. 12 (1) (2008)
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) (2007)
V. Srinivasan, C. Eswaran, Natarajan Sriraam
Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks. IEEE Trans. Inf. Technol. Biomed. 11 (3) (2007)
R. Shyamsunder, C. Eswaran, Natarajan Sriraam
Compression of Patient Monitoring Video Using Motion Segmentation Technique. J. Medical Syst. 31 (2) (2007)
R. Shyamsunder, C. Eswaran, Natarajan Sriraam
Medical image compression using 3-D Hartley transform. Comput. Biol. Medicine 36 (9) (2006)
B. Ramakrishnan, Natarajan Sriraam
Internet transmission of DICOM images with effective low bandwidth utilization. Digit. Signal Process. 16 (6) (2006)
Natarajan Sriraam, C. Eswaran
Context Based Error Modeling for Lossless Compression of EEG Signals Using Neural Networks. J. Medical Syst. 30 (6) (2006)
Natarajan Sriraam, C. Eswaran
Generalized Regression Neural Network Predictors for Lossless EEG Signal Compression. CITA (2003)