Sridhar Krishnan

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 79

Top Venues

EMBC

Biomed. Signal Process. Control.

Sensors

ICASSP

Publications

Garima Sharma, Karthikeyan Umapathy, Sridhar Krishnan
Time-Frequency Scattergrams for Biomedical Audio Signal Representation and Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Michael Nigro, Sridhar Krishnan
SARdBScene: Dataset and Resnet Baseline for Audio Scene Source Counting and Analysis. ICASSP (2023)
Binh Nguyen, Andrei B. Bezerra Torres, Alice Rueda, Walter Sim, Douglas M. Campbell, Wendy Lou, Bill Kapralos, Lindsay Beavers, Adam Dubrowski, Venkat Bhat, Sridhar Krishnan
Digital Interventions to Reduce Distress Among Frontline Health Care Providers: Analysis of Self-Perceived Stress. EMBC (2023)
Binh P. Nguyen, Michael Nigro, Alice Rueda, Venkat Bhat, Sridhar Krishnan
Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data. ICASSP (2023)
Abdelrahman Abdou, Niraj Mistry, Sridhar Krishnan
3D Printed Dry Electrodes for Single-Lead Newborn ECG Monitoring. CinC (2023)
Binh Nguyen, Andrei B. Bezerra Torres, Caroline W. Espinola, Walter Sim, Deborah Kenny, Douglas M. Campbell, Wendy Lou, Bill Kapralos, Lindsay Beavers, Elizabeth Peter, Adam Dubrowski, Sridhar Krishnan, Venkat Bhat
Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic. Comput. Methods Programs Biomed. 240 (2023)
Fayez Qureshi, Sridhar Krishnan
Design and Analysis of Electronic Head Protector for Taekwondo Sports. Sensors 22 (4) (2022)
Michael Nigro, Sridhar Krishnan
Multimodal System for Audio Scene Source Counting and Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Sourav Kumar Mukhopadhyay, Sridhar Krishnan
Visual saliency detection approach for long-term ECG analysis. Comput. Methods Programs Biomed. 213 (2022)
Syem Ishaque, Naimul Khan, Sridhar Krishnan
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis. Biomed. Signal Process. Control. 74 (2022)
Ana Cecilia Villa-Parra, Ismael Criollo, Carlos Valadão, Leticia Silva, Yves Luduvico Coelho, Lucas Lampier, Luara Rangel, Garima Sharma, Denis Delisle Rodríguez, John Calle Sigüencia, Fernando Urgiles-Ortiz, Camilo A. R. Díaz, Eliete Caldeira, Sridhar Krishnan, Teodiano Freire Bastos Filho
Towards Multimodal Equipment to Help in the Diagnosis of COVID-19 Using Machine Learning Algorithms. Sensors 22 (12) (2022)
Alice Rueda, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth, Sridhar Krishnan
Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia. Comput. Speech Lang. 72 (2022)
Binh Nguyen, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan
Clustering and Feature Analysis of Smartphone Data for Depression Monitoring. EMBC (2021)
Binh Nguyen, Michael Nigro, Alice Rueda, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan
Feature Analysis and Hierarchical Classification of Anxiety Severity during early COVID-19. EMBC (2021)
Abdelrahman Abdou, Sridhar Krishnan
ECG Dry-electrode 3D Printing and Signal Quality Considerations. EMBC (2021)
Vivianne Cardoso, Denis Delisle Rodríguez, M. Alejandra Romero-Laiseca, Flávia A. Loterio, Dharmendra Gurve, Alan Floriano, Carlos Valadão, Leticia Silva, Sridhar Krishnan, Anselmo Frizera-Neto, Teodiano Freire Bastos Filho
Effect of a Brain-Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity. Sensors 21 (6) (2021)
Garima Sharma, Xiao-Ping Zhang, Karthikeyan Umapathy, Sridhar Krishnan
Audio texture and age-wise analysis of disordered speech in children having specific language impairment. Biomed. Signal Process. Control. 66 (2021)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach. Frontiers Digit. Health 3 (2021)
Syem Ishaque, Naimul Mefraz Khan, Sridhar Krishnan
Trends in Heart-Rate Variability Signal Analysis. Frontiers Digit. Health 3 (2021)
Zeeshan Ahmad, Suha Rabbani, Muhammad Rehman Zafar, Syem Ishaque, Sridhar Krishnan, Naimul Mefraz Khan
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion. CoRR (2021)
Yashodhan Rajiv Athavale, Sridhar Krishnan
A telehealth system framework for assessing knee-joint conditions using vibroarthrographic signals. Biomed. Signal Process. Control. 55 (2020)
Leticia Silva, Denis Delisle Rodríguez, Vivianne Cardoso, Dharmendra Gurve, Sridhar Krishnan, Teodiano Freire Bastos Filho
Towards an Effective Motor Imagery Based-BCI with Calibration Through Activation of Central and Peripheral Mechanisms of Lower-Limbs. SMC (2020)
Sourav Kumar Mukhopadhyay, Sridhar Krishnan
Robust identification of QRS-complexes in electrocardiogram signals using a combination of interval and trigonometric threshold values. Biomed. Signal Process. Control. 61 (2020)
Dharmendra Gurve, Sridhar Krishnan
Separation of Fetal-ECG From Single-Channel Abdominal ECG Using Activation Scaled Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Dharmendra Gurve, Denis Delisle Rodríguez, Teodiano Freire Bastos Filho, Sridhar Krishnan
Trends in Compressive Sensing for EEG Signal Processing Applications. Sensors 20 (13) (2020)
Sourav Kumar Mukhopadhyay, Sridhar Krishnan
A singular spectrum analysis-based model-free electrocardiogram denoising technique. Comput. Methods Programs Biomed. 188 (2020)
Eisha Patel, Sridhar Krishnan
Generating Stylistic Images by Extending Neural Style Transfer Method. SSIP (2020)
Garima Sharma, Deepak Prasad, Karthikeyan Umapathy, Sridhar Krishnan
Screening and analysis of specific language impairment in young children by analyzing the textures of speech signal. EMBC (2020)
Syem Ishaque, Alice Rueda, Binh Nguyen, Naimul Mefraz Khan, Sridhar Krishnan
Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game. EMBC (2020)
Jeevan K. Pant, Sridhar Krishnan
Group sparse structure and elastic-net regularization for compressive sensing of pulse-type physiological signals. Biomed. Signal Process. Control. 57 (2020)
Yunier Prieur-Coloma, Denis Delisle Rodríguez, Leondry Mayeta-Revilla, Dharmendra Gurve, Ramón Amado Reinoso-Leblanch, Alberto López Delis, Teodiano F. Bastos, Sridhar Krishnan, Adson F. da Rocha
Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton. EMBC (2020)
Shengkun Xie, Sridhar Krishnan
Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA. EMBC (2019)
Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Rios-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth
Feature Representation of Pathophysiology of Parkinsonian Dysarthria. INTERSPEECH (2019)
Dharmendra Gurve, Denis Delisle Rodríguez, Teodiano F. Bastos, Sridhar Krishnan
Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization. EMBC (2019)
Alice Rueda, Sridhar Krishnan
Augmenting Dysphonia Voice Using Fourier-based Synchrosqueezing Transform for a CNN Classifier. ICASSP (2019)
Alice Rueda, Sridhar Krishnan
Clustering Parkinson's and Age-Related Voice Impairment Signal Features for Unsupervised Learning. Adv. Data Sci. Adapt. Anal. 10 (2) (2018)
Sridhar Krishnan, Yashodhan Rajiv Athavale
Trends in biomedical signal feature extraction. Biomed. Signal Process. Control. 43 (2018)
Yashodhan Rajiv Athavale, Sridhar Krishnan, Afsaneh Raissi, Nardin Kirolos, Brian J. Murray, Mark I. Boulos
Integrated Signal Encoding and Analysis System for Actigraphy-based Long-term Monitoring of Periodic Limb Movements in Sleep. EMBC (2018)
Dharmendra Gurve, Sridhar Krishnan
Deep Learning of EEG Time-Frequency Representations for Identifying Eye States. Adv. Data Sci. Adapt. Anal. 10 (2) (2018)
Wenjun Yang, Sridhar Krishnan
Sound event detection in real-life audio using joint spectral and temporal features. Signal Image Video Process. 12 (7) (2018)
Fayez Qureshi, Sridhar Krishnan
Wearable Hardware Design for the Internet of Medical Things (IoMT). Sensors 18 (11) (2018)
Yashodhan Rajiv Athavale, Sridhar Krishnan
A Device-Independent Efficient Actigraphy Signal-Encoding System for Applications in Monitoring Daily Human Activities and Health. Sensors 18 (9) (2018)
Jeevan K. Pant, Sridhar Krishnan
Sparse Signal Reconstruction Using Multi-Sequential Lp Optimization. ISCAS (2018)
Jeevan K. Pant, Sridhar Krishnan
First-Order Difference Energy Regularization for Enhancing Reconstruction Performance in Compressive Sensing of Foot-Gait Signals. ICASSP (2018)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
Patient-specific seizure detection in long-term EEG using wavelet decomposition. Biomed. Signal Process. Control. 46 (2018)
Alice Rueda, Sridhar Krishnan
Feature analysis of dysphonia speech for monitoring Parkinson's disease. EMBC (2017)
Yashodhan Rajiv Athavale, Sridhar Krishnan
Biosignal monitoring using wearables: Observations and opportunities. Biomed. Signal Process. Control. 38 (2017)
Uzair Mayat, Fayez Qureshi, Saad Ahmed, Yashodhan Rajiv Athavale, Sridhar Krishnan
Towards a low-cost point-of-care screening platform for electronic auscultation of vital body sounds. IHTC (2017)
Jeevan K. Pant, Sridhar Krishnan
Performance of compressive sensing for the reconstruction of different QRS pulses in ECG signals. EMBC (2017)
Sharadha Kolappan, Sridhar Krishnan, Brian J. Murray, Mark I. Boulos
A low-cost approach for wide-spread screening of periodic leg movements related to sleep disorders. IHTC (2017)
Mariana Cardoso Melo, D. R. Macedo, Alcimar Barbosa Soares, Sridhar Krishnan
Technological aspects of traumatic spinal cord injury rehabilitation. IHTC (2017)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
Hierarchical decomposition based on a variation of empirical mode decomposition. Signal Image Video Process. 11 (5) (2017)
Denis Delisle Rodríguez, Ana Cecilia Villa-Parra, Teodiano Freire Bastos Filho, Alberto López Delis, Anselmo Frizera-Neto, Sridhar Krishnan, Eduardo Rocon
Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing. Sensors 17 (12) (2017)
George K. Endo, Ibukun Oluwayomi, Victor Alexandra, Yashodhan Rajiv Athavale, Sridhar Krishnan
Technology for continuous long-term monitoring of pregnant women for safe childbirth. IHTC (2017)
Wenjun Yang, Sridhar Krishnan
Combining Temporal Features by Local Binary Pattern for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25 (6) (2017)
Jeevan K. Pant, Sridhar Krishnan
Two-pass ℓp-regularized least-squares algorithm for compressive sensing. ISCAS (2017)
Amnyah Almahouzi, Toka Alnaser, Susanne Tiraci, Yashodhan Rajiv Athavale, Sridhar Krishnan
An integrated biosignals wearable system for low-cost blood pressure monitoring. IHTC (2017)
Feng Jin, Lakshmi Sugavaneswaran, Sridhar Krishnan, Vijay S. Chauhan
Quantification of fragmented QRS complex using intrinsic time-scale decomposition. Biomed. Signal Process. Control. 31 (2017)
Dharmendra Gurve, Jeevan K. Pant, Sridhar Krishnan
Real-time fetal ECG extraction from multichannel abdominal ECG using compressive sensing and ICA. EMBC (2017)
Mohammadreza Balouchestani, Sridhar Krishnan
Advanced K-means clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach. Signal Image Video Process. 10 (1) (2016)
Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan
CANDECOMP/PARAFAC model order selection based on Reconstruction Error in the presence of Kronecker structured colored noise. Digit. Signal Process. 48 (2016)
Bo Wu, Sridhar Krishnan, Nan Zhang, Li Su
Compact and robust video fingerprinting using sparse represented features. ICME (2016)
Jeevan K. Pant, Sridhar Krishnan
Compressive sensing of foot-gait signals by enhancing group block-sparse structure on the first-order difference. EMBC (2016)
Jeevan K. Pant, Sridhar Krishnan
Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection. EMBC (2016)
Saeed Pouryazdian, Andrew Chang, Dan J. Bosnyak, Laurel J. Trainor, Soosan Beheshti, Sridhar Krishnan
Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach. EMBC (2016)
Muhammad A. Hasan, Vijay S. Chauhan, Sridhar Krishnan
Beat-to-beat T-wave alternans detection using the Ensemble Empirical Mode Decomposition method. Comput. Biol. Medicine 77 (2016)
Richard M. G. Tello, Sandra M. T. Muller, Muhammad A. Hasan, André Ferreira, Sridhar Krishnan, Teodiano F. Bastos
An independent-BCI based on SSVEP using Figure-Ground Perception (FGP). Biomed. Signal Process. Control. 26 (2016)
Timothy Liang, Mark I. Boulos, Brian J. Murray, Sridhar Krishnan, Hans Katzberg, Karthikeyan Umapathy
Detection of myasthenia gravis using electrooculography signals. EMBC (2016)
Jeevan K. Pant, Sridhar Krishnan
Compressive Sensing of Foot Gait Signals and Its Application for the Estimation of Clinically Relevant Time Series. IEEE Trans. Biomed. Eng. 63 (7) (2016)
Karl Magtibay, Mohammadali Beheshti, Farbod Hosseyndoust Foomany, Stéphane Massé, Patrick F. H. Lai, Nima Zamiri, John Asta, Kumaraswamy Nanthakumar, David A. Jaffray, Sridhar Krishnan, Karthikeyan Umapathy
Feature-based MRI data fusion for cardiac arrhythmia studies. Comput. Biol. Medicine 72 (2016)
Mehrnaz Shokrollahi, Sridhar Krishnan
Non-stationary signal feature characterization using adaptive dictionaries and non-negative matrix factorization. Signal Image Video Process. 10 (6) (2016)
Mehrnaz Shokrollahi, Sridhar Krishnan, Dustin D. Dopsa, Ryan T. Muir, Sandra E. Black, Richard H. Swartz, Brian J. Murray, Mark I. Boulos
Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep. Medical Biol. Eng. Comput. 54 (11) (2016)
Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan
Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory. Signal Image Video Process. 9 (3) (2015)
Richard M. G. Tello, Saeed Pouryazdian, André Ferreira, Soosan Beheshti, Sridhar Krishnan, Teodiano F. Bastos
A new approach for SSVEP detection using PARAFAC and canonical correlation analysis. EMBC (2015)
Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan
Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation. EMBC (2015)
Guangyi Chen, Sridhar Krishnan
Small bowel image classification using dual tree complex wavelet-based cross co-occurrence features and canonical discriminant analysis. ICACCI (2015)
Mohammadreza Balouchestani, Sridhar Krishnan
Robust compressive sensing algorithm for wireless surface electromyography applications. Biomed. Signal Process. Control. 20 (2015)
Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan
Learning Dictionary Via Wavelet Sparse Principal Component Analysis. ICPRAM (1) (2015)
M. Rasooli, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Nima Zamiri, Andrew Ramadeen, X. Hu, P. Dorian, Kumaraswamy Nanthakumar, Sridhar Krishnan, Soosan Beheshti, Karthikeyan Umapathy
Analysis of electrocardiogram pre-shock waveforms during ventricular fibrillation. Biomed. Signal Process. Control. 21 (2015)
Jeevan K. Pant, Sridhar Krishnan
Foot gait time series estimation based on support vector machine. EMBC (2014)
Jeevan K. Pant, Sridhar Krishnan
Compressive Sensing of Electrocardiogram Signals by Promoting Sparsity on the Second-Order Difference and by Using Dictionary Learning. IEEE Trans. Biomed. Circuits Syst. 8 (2) (2014)
Guangyi Chen, Sridhar Krishnan, Tien D. Bui
Ramanujan Sums for Image Pattern Analysis. Int. J. Wavelets Multiresolution Inf. Process. 12 (1) (2014)
Lakshmi Sugavaneswaran, Mohammadreza Balouchestani, Karthikeyan Umapathy, Sridhar Krishnan
Discriminative kernel learning in ambiguity domain. CSNDSP (2014)
Farbod Hosseyndoust Foomany, Mohammad T. H. Beheshti, Karl Magtibay, Stéphane Massé, Patrick F. Lai, John Asta, Nima Zamiri, David A. Jaffray, Sridhar Krishnan, Kumaraswamy Nanthakumar, Karthikeyan Umapathy
A novel approach to quantification of real and artifactual components of current density imaging for phantom and live heart. EMBC (2014)
Mohammadreza Balouchestani, Sridhar Krishnan
Effective Low-Power Wearable Wireless Surface EMG Sensor Design Based on Analog-Compressed Sensing. Sensors 14 (12) (2014)
Chen Lin, Wenqiang Chen, Cheng Qiu, Yunfeng Wu, Sridhar Krishnan, Quan Zou
LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy. Neurocomputing 123 (2014)
Jeevan K. Pant, Sridhar Krishnan
Compressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences. ICASSP (2014)
Mohammadreza Balouchestani, Lakshmi Sugavaneswaran, Sridhar Krishnan
Advanced K-means clustering algorithm for large ECG data sets based on K-SVD approach. CSNDSP (2014)
Mohammadreza Balouchestani, Sridhar Krishnan
Fast clustering algorithm for large ECG data sets based on CS theory in combination with PCA and K-NN methods. EMBC (2014)
Karl Magtibay, Mohammad T. H. Beheshti, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Patrick F. Lai, John Asta, Nima Zamiri, David A. Jaffray, Kumaraswamy Nanthakumar, Sridhar Krishnan, Karthikeyan Umapathy
Fusion of structural and functional cardiac magnetic resonance imaging data for studying Ventricular Fibrillation. EMBC (2014)
Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan
Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. 51 (7) (2013)
Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan
Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory. ANT/SEIT (2013)
Mehrnaz Shokrollahi, Sridhar Krishnan
Non-negative matrix factorization and sparse representation for sleep signal classification. EMBC (2013)
Jeevan K. Pant, Sridhar Krishnan
Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient. ICASSP (2013)
Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan
High - Resolution QRS detection algorithm for wireless ECG systems based on compressed sensing theory. MWSCAS (2013)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition. EMBC (2013)
Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan
New sampling approach for wireless ECG systems with compressed sensing theory. MeMeA (2013)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
A variation of empirical mode decomposition with intelligent peak selection in short time windows. ICASSP (2013)
Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan
Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study. ISNN (1) (2013)
Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan
Increasing the reliability of wireless body area networks based on compressed sensing theory. CCECE (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sridhar Krishnan