P. A. Karthick

According to our database, P. A. Karthick authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Empirical Mode Decomposition Based Measures for Investigating the Progression of Pregnancy from Uterine EMG.

P. A. Karthick, Vinothini Selvaraju, Ramakrishnan Swaminathan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Spectral Correlation Density based Electrohysterography Signal Analysis for the Detection of Preterm Birth.

Vinothini Selvaraju, P. A. Karthick, Swaminathan Ramakrishnan

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

Analysis of Corticomuscular Coherence between Motor Cortex Region and Tibialis Anterior Muscle Using Symbolic Transfer Entropy.

K. Arunganesh, Vinothini Selvaraju, Natarajan Sivakumaran, S. Kumaravel, P. A. Karthick

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

2021

Muscle fatigue analysis in isometric contractions using geometric features of surface electromyography signals.

S. Edward Jero, Divya Bharathi Krishnamani, P. A. Karthick, S. Ramakrishnan

Biomed. Signal Process. Control., 2021

Analysis of Frequency Bands of Uterine Electromyography Signals for the Detection of Preterm Birth.

Vinothini Selvaraju, P. A. Karthick, Ramakrishnan Swaminathan

Proceedings of the Public Health and Informatics, 2021

Analysis of EEG-EMG Coherence in Low Frequency Bands.

Krishnamoorthy Arunganesh, Natarajan Sivakumaran, Shanmugasundaram Kumaravel, P. A. Karthick

Proceedings of the Public Health and Informatics, 2021

Detection of Tonic-Clonic Seizures using Wavelet Entropy of Scalp EEG.

Joseph Mathew, Subha Ramakrishnan Manuskandan, Natarajan Sivakumaran, P. A. Karthick

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals.

Divya Bharathi Krishnamani, P. A. Karthick, Ramakrishnan Swaminathan

IET Signal Process., 2020

Geometric Features based Muscle Fatigue Analysis using Low Frequency Band in Surface Electromyographic signals.

Divya Bharathi Krishnamani, P. A. Karthick, Ramakrishnan Swaminathan

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier.

P. A. Karthick, Kai Rui Wan, R. Yuvaraj, Angela An Qi See, Nicolas Kon Kam King, Justin Dauwels

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms.

P. A. Karthick, Diptasree Maitra Ghosh, S. Ramakrishnan

Comput. Methods Programs Biomed., 2018

2016

Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals.

P. A. Karthick, G. Venugopal, S. Ramakrishnan

J. Medical Syst., 2016

Surface electromyography based muscle fatigue progression analysis using modified B distribution time-frequency features.

P. A. Karthick, S. Ramakrishnan

Biomed. Signal Process. Control., 2016

2014

Analysis of fatigue conditions in biceps brachii muscles using surface electromyography signals and strip spectral correlation.

P. A. Karthick, S. Ramakrishnan

Proceedings of the 19th International Conference on Digital Signal Processing, 2014