Dr. Dipen Deka

Journals:

1.   D. Deka and B. Deka, "Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers," IEEE Access, vol. 11, 29576-29590, 2023 (SCIE). 

2.  B. Deka and D. Deka, “An Improved Multiscale Distribution Entropy for Analyzing Complexity of Real-World Signals,” Chaos, Solitons and Fractals, vol. 158, 112101, 2021 (SCI).

D. Deka and B. Deka, “Stratification of High-Risk HypertensivePatients Using Hybrid Heart Rate Variability Features and Boosting Algorithms,” IEEE Access, vol. 9, 62665-62675, 2021 (SCIE). 

4.   D. Deka and B. Deka, “Characterization of Heart Rate VariabilitySignal for Distinction of Meditative and Pre-meditative States,” Biomedical Signal Processing and Control, Elsevier, vol. 66, 1-13, 2021 (SCIE).

Book Chapter:

1.     D. Deka and B. Deka, “Investigation on HRV Signal Dynamics forMeditative Intervention,” In Soft computing: theory and applications, Advances in Intelligent systems and Computing, Springer, pp. 993-1005, 2020.

 Conference:

1.  D. Deka and B. Deka, “A Decision Support System for Prediction ofParoxysmal Atrial Fibrillation based on Heart Rate Variability Metrics,” 2021IEEE 18th India Council International Conference (INDICON), pp. 1-7, 2021.

2.  D. Deka and B. Deka, “Computer-aided Detection of CongestiveHeart Failure based on Nonlinear HRV Features,” 2020 IEEE InternationalConference on Machine Learning and Applied Network Technologies (ICMLANT), pp. 1-6, 2020.