11 Biomedical data visualization and clinical decision-making in rodents using a multi-usage wireless brain stimulator with a novel embedded design V. Milner Paul a , Loitongbam Surajkumar Singh b , S.R. Boselin Prabhu c , T. Jarin d , Shuma Adhikari a , and S. Sophia e a DEPARTMENT OF ELECTRICAL ENGINEERING, NATIONAL INSTITUTE OF TECHNOLOGY MANIPUR (NITM), IMPHAL, INDIA b DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING, NATIONAL INSTITUTE OF TECHNOLOGY MANIPUR (NITM), IMPHAL, INDIA c DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, SURYA ENGINEERING COLLEGE, METTUKADAI, INDIA d DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, JYOTHI ENGINEERING COLLEGE, THRISSUR, INDIA e DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING, SRI KRISHNA COLLEGE OF ENGINEERING AND TECHNOLOGY, KUNIYAMUTHUR, INDIA 1. Introduction Over the past few years, the rate relating to investigation concerning neuroscience has expanded significantly. Utilizing a mixture of professional as well as neurophysiological ideas of the whole nerve systems, a comprehensive and new series of health-related digital devices has been introduced to employ substantial backlink sets of neurons effectively. Within the Indian condition, BCI is considered indefinitely in the point of the early stages of time. There are no significant advancements as well as investigation provisions to extend this entire domain successfully. Therefore we are aware that all these efforts are extremely important for a young budding technologist to effectively incline their visions in addition to aspirations to BCI [1]. BCI serves as an interactive solution that typically interprets the activities of the brain into instructions so as to obtain visualization over computer or any other device and gadgets. However, only a useful BCI makes it possible for individual users to act upon their surroundings by utilizing determination based activ- ities of the brain, without employing external nervous system as well as muscle tissues. The most vital intention of BCI investigation would be to improve the techniques that Predictive Modeling in Biomedical Data Mining and Analysis. https://doi.org/10.1016/B978-0-323-99864-2.00009-3 Copyright © 2022 Elsevier Inc. All rights reserved. 187