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D-Index & Metrics

Computer Science

D-Index
75
Citations
19014
World Ranking
1432
National Ranking
11

Overview

Ram Bilas Pachori is affiliated with the Indian Institute of Technology Indore in India. Their research spans multiple fields, principally Medicine, Computer Science, and Neuroscience. The subfields covered in their work include Cognitive Neuroscience, Signal Processing, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence.

The scientist's publication record includes frequent contributions to various academic venues. Notable among these are Biomedical Signal Processing and Control, IEEE Sensors Letters, IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, and Digital Signal Processing.

Key topics addressed in their research encompass EEG and Brain-Computer Interfaces, Blind Source Separation Techniques, ECG Monitoring and Analysis, Non-Invasive Vital Sign Monitoring, AI in cancer detection, Machine Fault Diagnosis Techniques, and Retinal Imaging and Analysis.

Among their recent papers are the following:

  • Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study (2020) in Biomedical Signal Processing and Control
  • A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI (2021) in IEEE Transactions on Instrumentation and Measurement
  • Automated emotion recognition based on higher order statistics and deep learning algorithm (2020) in Biomedical Signal Processing and Control
  • A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images (2021) in Biomedical Signal Processing and Control
  • Detection of apnea events from ECG segments using Fourier decomposition method (2020) in Biomedical Signal Processing and Control

Ram Bilas Pachori has collaborated frequently with a number of researchers. Prominent co-authors include Rajesh Kumar Tripathy, Kritiprasanna Das, M. Sabarimalai Manikandan, Pramod Gaur, and Sibghatullah I. Khan.

In addition to journal articles, Ram Bilas Pachori has contributed to book literature. One such publication is "Pattern Recognition and Data Analysis with Applications," published by Springer Science+Business Media in 2022.

Best Publications

  • Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition

    V. Bajaj;R. B. Pachori

  • Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

    Rajeev Sharma;Ram Bilas Pachori

  • A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform

    Abhijit Bhattacharyya;Ram Bilas Pachori

  • A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension

    Manish Sharma;Ram Bilas Pachori;U. Rajendra Acharya

  • Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study.

    Soumya Ranjan Nayak;Deepak Ranjan Nayak;Utkarsh Sinha;Vaibhav Arora

  • Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

    Rajeev Sharma;Ram Pachori;U. Acharya

  • Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

    Ram Bilas Pachori;Shivnarayan Patidar

  • Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images

    Shishir Maheshwari;Ram Bilas Pachori;U. Rajendra Acharya

  • Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals

    Abhijit Bhattacharyya;Ram Pachori;Abhay Upadhyay;U. Acharya

  • Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition

    Ram Bilas Pachori

  • Classification of ictal and seizure-free EEG signals using fractional linear prediction

    Varun Joshi;Ram Bilas Pachori;V. Antony Vijesh

  • Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals

    Vipin Gupta;Mayur Dahyabhai Chopda;Ram Bilas Pachori

  • Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition

    Ram Bilas Pachori;Varun Bajaj

  • Automatic classification of sleep stages based on the time-frequency image of EEG signals

    Varun Bajaj;Ram Bilas Pachori

  • Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals

    Ashwani Kumar Tiwari;Ram Bilas Pachori;Vivek Kanhangad;Bijaya Ketan Panigrahi

  • A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI

    Pramod Gaur;Harsh Gupta;Anirban Chowdhury;Karl McCreadie

  • A Multi-class EEG-based BCI classification using Multivariate Empirical Mode Decomposition Based Filtering and Riemannian Geometry

    Pramod Gaur;Ram Bilas Pachori;Hui Wang;Girijesh Prasad

  • A novel approach for automated detection of focal EEG signals using empirical wavelet transform

    Abhijit Bhattacharyya;Manish Sharma;Ram Bilas Pachori;Pradip Sircar

  • Automatic sleep stages classification based on iterative filtering of electroencephalogram signals

    Rajeev Sharma;Ram Bilas Pachori;Abhay Upadhyay

  • An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures

    Rajeev Sharma;Ram Pachori;U. Acharya

  • Fast communication: EEG signal analysis using FB expansion and second-order linear TVAR process

    Ram Bilas Pachori;Pradip Sircar

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Varun Bajaj
Varun Bajaj Maulana Azad National Institute of Technology
Girijesh Prasad
Girijesh Prasad University of Ulster
Hichem Snoussi
Hichem Snoussi University of Technology of Troyes
Louis Maillard
Louis Maillard University of Lorraine
Bijaya Ketan Panigrahi
Bijaya Ketan Panigrahi Indian Institute of Technology Delhi
Yudong Zhang
Yudong Zhang University of Leicester

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