P. Kulkarni

发表

Review of Significant Research on EEG based Automated Detection of Epilepsy Seizures & Brain Tumor

P. Kulkarni, 2011 .

Multi-wavelet transform based epilepsy seizure detection

P. Kulkarni, S. Sharanreddy, 2012, IEEE-EMBS Conference on Biomedical Engineering and Sciences.

EDICAL I MAGE S EGMENTATION : A S URVEY

P. Kulkarni, Basavaraj Amarapur, Poojya Doddappa, 2011 .

Brain Tumor Epilepsy Seizure Identification using Multi- Wavelet Transform, Neural Network and Clinical Diagnosis Data

P. K. Kulkarni, M Sharanreddy., P. Kulkarni, 2013 .

Automated EEG signal analysis for identification of epilepsy seizures and brain tumour

P. K. Kulkarni, M. Sharanreddy, P. Kulkarni, 2013, Journal of medical engineering & technology.

Can EEG Test Helps in Identifying Brain Tumor

P. K. Kulkarni, M. Sharanreddy, P. Kulkarni, 2013 .

An improved approximate entropy based epilepsy seizure detection using multi-wavelet and artificial neural networks

P. K. Kulkarni, M. Sharanreddy, P. Kulkarni, 2013 .

EEG signal classification for Epilepsy Seizure Detection using Improved Approximate Entropy

Sharanreddy Mallikarjun Akareddy, P. Kulkarni, 2013 .

Image Processing for Identifying Brain Tumor using Intelligent System

S. Swamy, P. Kulkarni, 2015 .

Direct Data Compression Techniques for Ecg Signals: Effect of Sampling Frequency on Performance

Vinod Kumar, H. K. Verma, P. K. Kulkarni, 1997, Int. J. Syst. Sci..

Automated EEG signal analysis for identification of epilepsy seizures and brain tumour

P. Kulkarni, M. Sharanreddy, 2013, Journal of medical engineering & technology.