M. R. Nalla, S., K. Pal, and B. C. Neelapu,"Explainable AI for medical applications", Advances in Artificial Intelligence Biomedical Engineering Applications in Signals and Imaging, ch.12, pp.315-337, Elsevier, June 2024, 10.1016/B978-0-443-19073-5.00020-3       Inbook

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

N. P. Venkatesh, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"CatBoost-based improved detection of P-wave changes in sinus rhythm and tachycardia conditions: a lead selection study", Physical and Engineering Sciences in Medicine, vol.46, pp.925-944, Springer, May 2023, 10.1007/s13246-023-01274-z       Article

R. Thakur, S. R, Y. Kumar, V. R. Suryavanshi, H. Singhi, D. M. Babu, S. Wickramarachchi, K. Pal, and P. Sarkar,"Characteristics and application of animal byproduct-based films and coatings in the packaging of food products", Trends in Food Science & Technology, vol.140, pp.104143, Elsevier, October 2023, 10.1016/j.tifs.2023.104143       Article

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 2023 10th International Conference on Signal Processing and Integrated Networks, pp.82-86, IEEE, The most common clinical criteria for electrocardiographic diagnosis of myocardial ischemia include ST segment changes but not the QRS morphology. This study aimed to interpret the variations in the amplitude of the R wave that might be helpful in better diagnosis of ischemia during stress testing a, March 2023, 10.1109/SPIN57001.2023.10117129.       Inproceedings

S. K. Nayak, B. K. Pradhan, B. Mohanty, S., S. S. Ray, J. Wawrzyniak, M. Jarzebski, and K. Pal,"A Review of Methods and Applications for a Heart Rate Variability Analysis", Algorithms, vol.16, no.433, MDPI 2023, 10.3390/a16090433       Article