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Abhishek Chakraborty
Abhishek Chakraborty
Research scholar, Department of Applied Physics, University of Calcutta
Verified email at caluniv.ac.in
Title
Cited by
Cited by
Year
An automated algorithm to extract time plane features from the PPG signal and its derivatives for personal health monitoring application
A Chakraborty, D Sadhukhan, M Mitra
IETE Journal of Research 68 (1), 379-391, 2022
192022
Automated myocardial infarction identification based on interbeat variability analysis of the photoplethysmographic data
A Chakraborty, D Sadhukhan, S Pal, M Mitra
Biomedical Signal Processing and Control 57, 101747, 2020
152020
Accurate detection of dicrotic notch from PPG signal for telemonitoring applications
A Chakraborty, D Sadhukhan, M Mitra
International Journal of Biomedical Engineering and Technology 37 (2), 121-137, 2021
102021
A robust PPG onset and systolic peak detection algorithm based on Hilbert transform
A Chakraborty, D Sadhukhan, M Mitra
2020 IEEE Calcutta Conference (CALCON), 176-180, 2020
82020
PPG-based automated estimation of blood pressure using patient-specific neural network modeling
A Chakraborty, D Sadhukhan, S Pal, M Mitra
Journal of Mechanics in Medicine and Biology 20 (06), 2050037, 2020
72020
EEG Based Automated Detection of Six Different Eye Movement Conditions for Implementation in Personal Assistive Application
A Paul, A Chakraborty, D Sadhukhan, S Pal, M Mitra
Wireless Personal Communications, 1-22, 2022
42022
Effortless detection of premature ventricular contraction using computerized analysis of photoplethysmography signal
S Dhar, A Chakraborty, D Sadhukhan, S Pal, M Mitra
Sādhanā, 2022
42022
A robust PPG time plane feature extraction algorithm for health monitoring application
A Chakraborty, D Sadhukhan, M Mitra
2018 15th IEEE India Council International Conference (INDICON), 1-6, 2018
32018
Efficient and lightweight detection of PPG onset and systolic peaks using implementable time-domain strategies
A Chakraborty, D Sadhukhan, M Mitra
Measurement 200, 111628, 2022
12022
A simplified PPG based approach for automated recognition of five distinct emotional states
A Paul, A Chakraborty, D Sadhukhan, S Pal, M Mitra
Multimedia Tools and Applications, 2023
2023
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