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Your search keyword '"K. Mohanavelu"' showing total 4 results
Start Over Author "K. Mohanavelu" Publisher elsevier bv
4 results on '"K. Mohanavelu"'

2. Transcranial direct current stimulation for treatment-resistant obsessive-compulsive disorder—A large case series

Author

Thamby, Abel, primary, Seshachala, Karthik, additional, Sharma, Lavanya, additional, Thimmashetty, Vani Holebasavanahalli, additional, Balachander, Srinivas, additional, Shivakumar, Venkataram, additional, Hazari, Nandita, additional, Chhabra, Harleen, additional, Arumugham, Shyam Sundar, additional, TS, Jaisoorya, additional, K, Mohanavelu, additional, Venkatasubramanian, Ganesan, additional, Reddy, Y.C. Janardhan, additional, and Narayanaswamy, Janardhanan C., additional

Published
2021
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4. Dynamic cognitive workload assessment for fighter pilots in simulated fighter aircraft environment using EEG

Author

Vijayakumar Chinnadurai, D. Ravi, K. Adalarasu, K Ramachandran, Srinivasan Jayaraman, S. Poonguzhali, Vinutha S, and K. Mohanavelu

Subjects
medicine.diagnostic_test, business.industry, Aviation, Computer science, 0206 medical engineering, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Health Informatics, Cognition, Workload, 02 engineering and technology, Calculation technique, Electroencephalography, 020601 biomedical engineering, Automation, Task (project management), 03 medical and health sciences, 0302 clinical medicine, Aeronautics, Signal Processing, medicine, Cognitive workload, business, health care economics and organizations, 030217 neurology & neurosurgery
Abstract

The trend in aviation automation demands more mental workload of pilots, in addition to their routine manoeuvring task. For fighter aircraft pilots, the mental workload multifold due to read-back or hear-back with precise weapon handling in combat scenarios. Assessing the pilot cognitive workload is an important aspect, as it influences the pilot performance, and this is an error intolerance environment. This study aims to assess fighter aircraft Pilot’s Cognitive WorkLoad (PCWL) and attention when they exposed to a dynamic workload environment; by monitoring the neuronal activities. Here the spectral Electroencephalographic (EEG) features were extracted to assess the dynamic workload (normal, moderate, high, and very high workload), and attention monitored by National Aeronautics and Space Administration-Task Load Index (NASA-TLX) and it serves as a validation for cognitive findings. Also, brain source localization obtained from EEG inverse calculation technique, Standardized Low-Resolution brain Electromagnetic Tomography (sLORETA) performed to understand the coherence of workload and neuronal activity engagement concerning brain lobes. Statistical significance (p

Published
2020
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