S. Dash, A. K. Parida, K. Pal, and M. K. Baig,"Generative AI for Bio-Signal Analysis and Augmentation", Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges, ch.9, pp.9, Nova Science Publishers, January 2024, View Details       Inbook

R. Das, D. Banerjee, D. Sahu, J. Tanveer, S. Banerjee, M. Jarzebski, S., Y. Deng, H. Kim, and K. Pal,"Evaluating the impact of green coffee bean powder on the quality of whole wheat bread: a comprehensive analysis", Foods, vol.13, no.17, pp.1-26, MDPI, August 2024, 10.3390/foods13172705       Article

P. V. N, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model", Biomedical Signal Processing and Control, Elsevier, November 2024, 10.1016/j.bspc.2024.106703       Article

P. V. N, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms", Biomedical Signal Processing and Control, Elsevier, November 2024, 10.1016/j.bspc.2024.106730       Article

K. Pal, B. C. Neelapu, and S.,"Advances in Artificial Intelligence Biomedical Engineering Applications in Signals and Imaging", Elsevier, May 2024, View Details       Book

B. Dhananjay, B. C. Neelapu, K. Pal, and S.,"Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation", Biomedical Engineering/Biomedizinische Technik, De Gruyter, March 2023, 10.1515/bmt-2022-0430       Article

B. K. Pradhan, B. C. Neelapu, S., D. Kim, and K. Pal,"A review on the applications of time-frequency methods in ECG analysis", Journal of Healthcare Engineering, Hindawi, February 2023, 10.1155/2023/3145483       Article

A. Bhardwaj, B. Dhananjay, P. V. N, D. Chowdhury, R. P. Kumar, K. Pal, S., and B. C. Neelapu,"A holistic overview of artificial intelligence in detection, classification and prediction of atrial fibrillation using electrocardiogram: a systematic review and meta-analysis", Archives of Computational Methods in Engineering, Springer, April 2023, 10.1007/s11831-023-09935-8       Article

D. Chowdhury, B. C. Neelapu, K. Pal, and S.,"Machine learning-based classification of ischemic and non-ischemic exercise stress test ECG", in Computing in Cardiology 2022, vol.49, IEEE, March 2023, 10.22489/CinC.2022.276       Inproceedings

R. Bandyopadhyay, B. C. Neelapu, K. Pal, and S.,"Examining R peak changes in ischemic condition using random forest classifier under stress test ECG", in 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp.82-86, IEEE, Noida, India, May 2023, 10.1109/SPIN57001.2023.10117129       Inproceedings