Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Komal Jindal"'
Autor:
Pravat K. Mandal, Komal Jindal, Saurav Roy, Yashika Arora, Shallu Sharma, Shallu Joon, Anshika Goel, Zoheb Ahasan, Joseph C. Maroon, Kuldeep Singh, Kanika Sandal, Manjari Tripathi, Pooja Sharma, Avantika Samkaria, Shradha Gaur, Sandhya Shandilya
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
Multimodal neuroimaging data of various brain disorders provides valuable information to understand brain function in health and disease. Various neuroimaging-based databases have been developed that mainly consist of volumetric magnetic resonance im
Externí odkaz:
https://doaj.org/article/6e92b2fffaf74ce688bb2a41add21600
Autor:
Pravat K. Mandal, Komal Jindal, Joseph C. Maroon, Rita Chhikara, Avantika Samkaria, Mallika Joshi, Saurav Roy, Yashika Arora
Publikováno v:
ACS Chemical Neuroscience.
Publikováno v:
International Journal of Imaging Systems and Technology. 32:1318-1337
Multi-class motor imagery Electroencephalography (EEG) activity decoding has always been challenging for the development of Brain Computer Interface (BCI) system. Deep learning has recently emerged as a powerful approach for BCI system development us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fd74a93112c10c8f8912bf62e53377b
https://doi.org/10.21203/rs.3.rs-2078138/v1
https://doi.org/10.21203/rs.3.rs-2078138/v1
Autor:
Pravat K. Mandal, Divya Dwivedi, Deepika Shukla, Avantika Samkaria, Rimil Guha Roy, Yashika Arora, Komal Jindal
Publikováno v:
Journal of Alzheimer's disease : JAD. 88(1)
Oxidative stress (OS) is a critical factor in the pathogenesis of Alzheimer’s disease (AD). Elevated OS in AD lowers the level of glutathione (GSH), a brain antioxidant. Currently, GSH is under examination in the clinical population for understandi
Autor:
Jaya Prakash Allam, Mohammad Reza Aslani, Varun Bajaj, Chinmaya Behara, Charmi Daftari, Fatih Demir, Morteza Farahi, Anil Kumar Gautam, Zahra Ghanbari, Komal Jindal, Sadaf Khademi, Smith K. Khare, Ketan Kishor Kurkute, Govinda Rao Locharla, Luca Longo, Hamid Reza Marateb, Mohammad Hassan Moradi, Mehrnoosh Neghabi, Neelamshobha Nirala, Arefeh Nouri, Prabin Kumar Padhy, Saurabh Pal, Revathi Pogiri, Ateeq Ur Rehman, Muhammad Tariq Sadiq, Saunak Samantray, Abdulkadir Sengur, Jainish Shah, Manan Shah, Tripurari Sharan, Rishi Raj Sharma, Shivam Sharma, Mehdi Shirzadi, Resham Raj Shivwanshi, Nameirakpam Premjit Singh, G.R. Sinha, Vikas Kumar Sinha, Siuly Siuly, Sachin Taran, Rahul Upadhyay, Dhyan Chandra Yadav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed1670f231d84221936678e340c5d779
https://doi.org/10.1016/b978-0-323-91197-9.09993-8
https://doi.org/10.1016/b978-0-323-91197-9.09993-8
Publikováno v:
Analog Integrated Circuits and Signal Processing. 100:437-452
Automated epileptic seizure detection is essential for advancing epilepsy diagnosis and assisting medical professionals. Automated seizure detection using Electroencephalogram signals has gained significant interest in recent past and appeared to be
Autor:
A. Sharma, A. Dube, Hari Shankar Singh, Komal Jindal, K. Gupta, M. Vijay, J. Gupta, Rahul Upadhyay
Publikováno v:
2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).
Migraine is a prolonged neurovascular illness, which causes outbreaks of severe pain and autonomic nervous system disturbance. The clinical analysis of Electroencephalogram signals helps in management and prognosis of migraine disease. Recent advance
Publikováno v:
ICUMT
Electroencephalogram signals are often contaminated by non-cerebral sources like muscle artifacts, eye movement and instrumentation noise due to which cerebral information loss occurs and interpretation of signals become challenging. This paper prese