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Computer Science

D-Index
48
Citations
9416
World Ranking
6173
National Ranking
244

Overview

Sridhar Krishnan is affiliated with Toronto Metropolitan University in Canada. Their research spans multiple fields, primarily Medicine and Computer Science, with significant contributions across various subfields and topics related to biomedical signal processing and neuroengineering.

Their research focuses on multiple main fields:

  • Medicine
  • Computer Science

They have published extensively in several subfields, including:

  • Cardiology and Cardiovascular Medicine
  • Signal Processing
  • Biomedical Engineering
  • Cognitive Neuroscience
  • Neurology

Their work covers diverse topics such as:

  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Non-Invasive Vital Sign Monitoring
  • Speech and Audio Processing
  • Music and Audio Processing
  • Heart Rate Variability and Autonomic Control
  • Blind Source Separation Techniques

Sridhar Krishnan's recent papers include:

  • "Trends in Heart-Rate Variability Signal Analysis" (2021), published in Frontiers in Digital Health
  • "ECG signal feature extraction trends in methods and applications" (2023), published in BioMedical Engineering OnLine
  • "Trends in EEG signal feature extraction applications" (2023), published in Frontiers in Artificial Intelligence
  • "A Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation" (2020), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Trends in human activity recognition with focus on machine learning and power requirements" (2021), published in Machine Learning with Applications

They frequently collaborate with several coauthors, including:

  • Alice Rueda
  • Venkat Bhat
  • Teodiano Bastos-Filho
  • Binh Nguyen
  • Michael Nigro

Key venues where their work has appeared multiple times are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Sensors
  • Frontiers in Digital Health
  • Machine Learning with Applications
  • Frontiers in Signal Processing

They have contributed to book publications with Springer Science+Business Media, including two editions of Advances in Signal Processing and Intelligent Recognition Systems published in 2020 and 2021.

Best Publications

  • Trends in audio signal feature extraction methods

    Garima Sharma;Kartikeyan Umapathy;Sridhar Krishnan

  • A comprehensive framework for predictive modeling of negative bias temperature instability

    S. Chakravarthi;A. Krishnan;V. Reddy;C.F. Machala

  • Impact of negative bias temperature instability on digital circuit reliability

    Vijay Reddy;Anand T. Krishnan;Andrew Marshall;John Rodriguez

  • Impact of negative bias temperature instability on digital circuit reliability

    V. Reddy;A.T. Krishnan;A. Marshall;J. Rodriguez

  • LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

    Chen Lin;Wenqiang Chen;Cheng Qiu;Yunfeng Wu

  • Smart metering and functionalities of smart meters in smart grid - a review

    Gouri R. Barai;Sridhar Krishnan;Bala Venkatesh

  • Phase Mapping of Cardiac Fibrillation

    Karthikeyan Umapathy;Krishnakumar Nair;Stephane Masse;Sridhar Krishnan

  • Real-Time Classification of Forearm Electromyographic Signals Corresponding to User-Selected Intentional Movements for Multifunction Prosthesis Control

    K. Momen;S. Krishnan;T. Chau

  • Discrimination of pathological voices using a time-frequency approach

    K. Umapathy;S. Krishnan;V. Parsa;D.G. Jamieson

  • Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology

    S. Krishnan;R.M. Rangayyan;G.D. Bell;C.B. Frank

  • Trends in biomedical signal feature extraction

    Sridhar Krishnan;Yashodhan Rajiv Athavale

  • Statistical Analysis of Gait Rhythm in Patients With Parkinson's Disease

    Yunfeng Wu;Sridhar Krishnan

  • Time–Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals

    B. Ghoraani;S. Krishnan

  • Gaussian Mixture Modeling of Keystroke Patterns for Biometric Applications

    D. Hosseinzadeh;S. Krishnan

  • Audio Signal Feature Extraction and Classification Using Local Discriminant Bases

    K. Umapathy;S. Krishnan;R.K. Rao

  • Wearable Hardware Design for the Internet of Medical Things (IoMT)

    Fayez Qureshi;Sridhar Krishnan

  • Trends in Heart-Rate Variability Signal Analysis

    Syem Ishaque;Naimul Mefraz Khan;Sridhar Krishnan

  • Trends in EEG signal feature extraction applications

    Unknown

  • Parametric representation and screening of knee joint vibroarthrographic signals

    R.M. Rangayyan;S. Krishnan;G.D. Bell;C.B. Frank

  • Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis

    Shengkun Xie;Sridhar Krishnan

  • Gaussian Mixture Modeling of Short-Time Fourier Transform Features for Audio Fingerprinting

    A. Ramalingam;S. Krishnan

  • Multigroup classification of audio signals using time-frequency parameters

    K. Umapathy;S. Krishnan;S. Jimaa

Frequent Co-Authors

Rangaraj M. Rangayyan
Rangaraj M. Rangayyan University of Calgary
Patrick M. Lenahan
Patrick M. Lenahan Pennsylvania State University
Anastasios N. Venetsanopoulos
Anastasios N. Venetsanopoulos Toronto Metropolitan University
Tien D. Bui
Tien D. Bui Concordia University
Alagan Anpalagan
Alagan Anpalagan Toronto Metropolitan University
Pietro Liò
Pietro Liò University of Cambridge
Martyn P. Nash
Martyn P. Nash University of Auckland
Ling Guan
Ling Guan Toronto Metropolitan University
Tom Chau
Tom Chau University of Toronto
Derek Abbott
Derek Abbott University of Adelaide

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