P. A. Karthick

According to our database1, P. A. Karthick authored at least 14 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Surface electromyography based analysis of muscle fiber type variations in the lower limb muscles of sprinters using gray level transformed Morlet scalogram images and Haralick features.
Biomed. Signal Process. Control., 2024

2023
Empirical Mode Decomposition Based Measures for Investigating the Progression of Pregnancy from Uterine EMG.
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.
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.
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.
Biomed. Signal Process. Control., 2021

Analysis of Frequency Bands of Uterine Electromyography Signals for the Detection of Preterm Birth.
Proceedings of the Public Health and Informatics, 2021

Analysis of EEG-EMG Coherence in Low Frequency Bands.
Proceedings of the Public Health and Informatics, 2021

Detection of Tonic-Clonic Seizures using Wavelet Entropy of Scalp EEG.
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.
IET Signal Process., 2020

Geometric Features based Muscle Fatigue Analysis using Low Frequency Band in Surface Electromyographic signals.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2018
Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms.
Comput. Methods Programs Biomed., 2018

2016
Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals.
J. Medical Syst., 2016

Surface electromyography based muscle fatigue progression analysis using modified B distribution time-frequency features.
Biomed. Signal Process. Control., 2016

2014
Analysis of fatigue conditions in biceps brachii muscles using surface electromyography signals and strip spectral correlation.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014


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