R. Kishore Kanna

Kishore Kanna R. received the BE degree in Biomedical Engineering from the Jerusalem College of Engineering, Anna University, India in 2016 and the M. Tech degree in Biomedical Engineering from the Bharath Institute of Science and Technology in 2018 and the PhD degree in Biomedical Engineering from the Bharath Institute of Higher Education and Research in 2022. As a teaching faculty he has experience of 5 years, now he is working as Assistant Professor in Jerusalem College of Engineering. He has published 61 research articles (37 Scopus/ 3 WOS/ 21 UGC) in reputed journals and has attended more than 25 International Conferences (IEEE, Springer, Etc). He has published 1 design patent and applied for a patent. His areas of interest include Brain Computer Interface, Biomedical Applications, Cognitive Engineering, EEG, Medical Robotics, Neurofeedback, IOT.

Publications

Smart Detection and Removal of Artifacts in Cognitive Signals Using Biomedical Signal Intelligence Applications
Smart Detection and Removal of Artifacts in Cognitive Signals Using Biomedical Signal Intelligence Applications
R. Kishore Kanna, K. Yamuna Devi, R. Gomalavalli, A. Ambikapathy. © 2024. 22 pages.
A complete and detailed literature evaluation concentrating on the detection and elimination of artifacts from EEG data was described in the preceding chapter. Issue-wise...
Smart Patient Monitoring Module Using Intelligent Technologies-Supported Wireless Application
Smart Patient Monitoring Module Using Intelligent Technologies-Supported Wireless Application
R. Kishore Kanna. © 2024. 11 pages.
The study focuses on creating an IoT gateway-backed WSN architecture for healthcare monitoring application. The intended users are elderly persons living alone at home and...
Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application: Cognitive Signal Conditioning
Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application: Cognitive Signal Conditioning
R. Kishore Kanna, G. Jyothi, A. Ambikapathy, U. Mutheeswaran. © 2024. 14 pages.
A complete and rigorous literature evaluation focused on the detection and elimination of artifacts from EEG signals was presented in the preceding chapter. Issue-wise solution...
Computational Spirometer Using Arduino Nano Application: Smart Spirometer Module
Computational Spirometer Using Arduino Nano Application: Smart Spirometer Module
R. Kishore Kanna, Ramya Raja, V. Keerthana, K. Keerthika, L. Thrisha, Long Tam Pham. © 2024. 30 pages.
Spirometer is a pulmonary function test that assesses the strength of our lungs to measure the maximum amount of air that is breathed in and out. During physical therapy...
Wireless BIMA Robot Using BCI Application: Biorobot Interface Manipulated Assistant
Wireless BIMA Robot Using BCI Application: Biorobot Interface Manipulated Assistant
. © 2024. 20 pages.
Bio signals are signals that are created by combining electrical and mechanical potentials or signals acquired from our bodies. The brain, which is believed to be our body's...
Bringing Intelligence to Medical Devices Through Artificial Intelligence
Bringing Intelligence to Medical Devices Through Artificial Intelligence
Jaya Rubi, Vijayalakshmi A., Kishore R kanna, Umashankar G.. © 2023. 15 pages.
Artificial intelligence is one discipline that seeks a lot of interest as it combines human brains and machines. Firstly, to elucidate some of the salient features, interests...
Computational Cognitive Analysis for Intelligent Engineering Using EEG Applications
Computational Cognitive Analysis for Intelligent Engineering Using EEG Applications
R. Kishore Kanna, R. Gomalavalli, Yamuna Devi, A. Ambikapathy. © 2023. 42 pages.
NFT increases EEG's higher alpha band to improve working memory. Five sessions of visual cue feedback instructed patients. Single-channel EEGs collect EEG signals. Each...