Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nitesh Singh Malan"'
Autor:
Aayushi Khajuria, Nitesh Singh Malan, Rishabh Bajpai, Dimpy Kapoor, Ashish Mishra, Shivkumar S Harti, Medha Kulkarni, Deepak Joshi
Publikováno v:
Annals of Indian Academy of Neurology, Vol 26, Iss 4, Pp 461-468 (2023)
Context: Previous research has shown the vast benefits associated with BhP. However, the dynamics of cortical activity in connection with Bhramari sound have not been investigated yet. Aim: To investigate the cortical activity in connection with Bhra
Externí odkaz:
https://doaj.org/article/3c010f7e183f4eb786a3c77030a559be
Autor:
Nitesh Singh Malan, Shiru Sharma
Publikováno v:
IRBM. 43:198-209
Background Frequency band optimization improves the performance of common spatial pattern (CSP) in motor imagery (MI) tasks classification because MI-related electroencephalograms (EEGs) are highly frequency specific. Many variants of CSP algorithm d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::090012b03cc56184bc5db29998e28181
https://doi.org/10.1016/j.irbm.2021.01.002
https://doi.org/10.1016/j.irbm.2021.01.002
Autor:
Nitesh Singh Malan, Aayushi Khajuria, Rishabh Bajpai, Dimpy Kapoor, Medha Kulkarni, Deepak Joshi
Publikováno v:
Biomedical Signal Processing and Control. 84:105003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69c07885130730e2f59414492f5cd146
https://doi.org/10.1016/j.bspc.2023.105003
https://doi.org/10.1016/j.bspc.2023.105003
Autor:
Nitesh Singh Malan, Shiru Sharma
Publikováno v:
Computers in Biology and Medicine. 107:118-126
In motor imagery (MI) based brain-computer interface (BCI) signal analysis, mu and beta rhythms of electroencephalograms (EEGs) are widely investigated due to their high temporal resolution and capability to define the different movement-related ment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::381b70bc7b8337af5f784ff8a2fef7a5
https://doi.org/10.1016/j.compbiomed.2019.02.009
https://doi.org/10.1016/j.compbiomed.2019.02.009
Autor:
Nitesh Singh Malan, Shiru Sharma
In this chapter, motor imagery (MI) based brain-computer interface (BCI) is introduced incorporating the explanation of key components required to design a practical BCI device. Its application to the medical and nonmedical sector is discussed in det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceec2b1c1b1cb00434171223d6d07624
https://doi.org/10.4018/978-1-7998-0326-3.ch009
https://doi.org/10.4018/978-1-7998-0326-3.ch009
Autor:
Shiru Sharma, Nitesh Singh Malan
Publikováno v:
Biomedical Signal Processing and Control. 67:102550
Spatial features optimized at frequency bands have been widely used in motor imagery (MI) based brain-computer interface (BCI) systems. However, using a fixed time window of electroencephalogram (EEG) to extract discriminatory features results in sub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe45d8a1eea6b1cca84dab5fccbf703
https://doi.org/10.1016/j.bspc.2021.102550
https://doi.org/10.1016/j.bspc.2021.102550
Autor:
Nitesh Singh Malan, Shiru Sharma
Publikováno v:
2018 2nd International Conference on Biomedical Engineering (IBIOMED).
While acquiring EEG signal for recording brain activities, we often receive signals from other muscle activities which are added with the brain activity signal thus resulting in a contaminated EEG signal. Muscle activities such as eyeblink (EB) and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8328fd88ad8a64f69bbe62c6c51cf53
https://doi.org/10.1109/ibiomed.2018.8534915
https://doi.org/10.1109/ibiomed.2018.8534915