Bikash K. Pradhan

发表

Development of a low‐cost food color monitoring system

Ankit Jain, Bikash K. Pradhan, Paresh Mahapatra, 2020 .

Analysis of heart rate variability to understand the effect of cannabis consumption on Indian male paddy-field workers

Bikash K. Pradhan, Indranil Banerjee, Suraj Kumar Nayak, 2020, Biomed. Signal Process. Control..

Dataset for EEG signals used to detect the effect of coffee consumption on the activation of SSVEP signal

Bikash K. Pradhan, Kunal Pal, Anwesha Khasnobish, 2020, Data in brief.

Internet-of-Things-Enabled Dual-Channel Iontophoretic Drug Delivery System for Elderly Patient Medication Management

Bikash K. Pradhan, Kunal Pal, Sumit Kumar Pal, 2020, Journal of medical devices.

Electroencephalogram-based brain–computer interface systems for controlling rehabilitative devices

Bikash K. Pradhan, Saugat Bhattacharyya, Anwesha Khasnobish, 2019, Bioelectronics and Medical Devices.

Internet of Things and Robotics in Transforming Current-Day Healthcare Services

Bikash K. Pradhan, S. S. Ray, K. Pal, 2021, Journal of healthcare engineering.

Chitosan-Based Gels for Regenerative Medicine Applications

Bikash K. Pradhan, I. Banerjee, K. Pal, 2021, Polysaccharides of Microbial Origin.

Analysis of the Physical and Structure Characteristics of Reformulated Pizza Bread

Bikash K. Pradhan, K. Pal, Nahyun M. Kim, 2022, Foods.

Investigating the Effect of Sound in Horror Clip on the Cardiac electrophysiology of Young Adults using Wavelet Packet Decomposition and Machine Learning Classifiers

Bikash K. Pradhan, S. S. Ray, J. Sivaraman, 2022, Biomedical Engineering Advances.

Electrical Conductances of Tetrabutylammonium Bromide, Sodium Tetraphenylborate, and Sodium Bromide in N,N-Dimethylformamide at (308.15, 313.15, 318.15, and 323.15) K

Bikash K. Pradhan, C. Das, R. Sharma, 2009 .

Statistical and entropy-based features can efficiently detect the short-term effect of caffeinated coffee on the cardiac physiology.

Bikash K. Pradhan, Kunal Pal, Bikash K Pradhan, 2020, Medical hypotheses.

Can statistical and entropy-based features extracted from ECG signals efficiently differentiate the cannabis-consuming women population from the non-consumer?

Bikash K. Pradhan, J. Sivaraman, P. Sarkar, 2022, Medical Hypotheses.

IoT-Based Applications in Healthcare Devices

Bikash K. Pradhan, K. Pal, S. Bhattacharyya, 2021, Journal of healthcare engineering.

Automated Detection of Caffeinated Coffee-Induced Short-Term Effects on ECG Signals Using EMD, DWT, and WPD

Bikash K. Pradhan, K. Pal, A. Gramza-Michałowska, 2022, Nutrients.

Data mining based approach to study the effect of consumption of caffeinated coffee on the generation of the steady-state visual evoked potential signals

Bikash K. Pradhan, Kunal Pal, Anwesha Khasnobish, 2019, Comput. Biol. Medicine.

A Review on the Applications of Time-Frequency Methods in ECG Analysis

Bikash K. Pradhan, Doman Kim, J. Sivaraman, 2023, Journal of Healthcare Engineering.

The Internet of Things in Geriatric Healthcare

Bikash K. Pradhan, K. Pal, Doman Kim, 2021, Journal of healthcare engineering.

A Review of Methods and Applications for a Heart Rate Variability Analysis

Bikash K. Pradhan, S. S. Ray, S. Nayak, 2023, Algorithms.