Qureshi NK - Search Results

1

Therapeutic benefits of music-based synchronous finger tapping in Parkinson's disease-an fNIRS study protocol for randomized controlled trial in Dalian, China.

Pu L, Qureshi NK, Ly J, Zhang B, Cong F, Tang WC, Liang Z. Pu L, et al. Among authors: qureshi nk. Trials. 2020 Oct 16;21(1):864. doi: 10.1186/s13063-020-04770-9. Trials. 2020. PMID: 33066811 Free PMC article.

2

Correction: Optimal Number of Clusters by Measuring Similarity Among Topographies for Spatio-Temporal ERP Analysis.

Mahini R, Xu P, Chen G, Li Y, Ding W, Zhang L, Qureshi NK, Hämäläinen T, Nandi AK, Cong F. Mahini R, et al. Among authors: qureshi nk. Brain Topogr. 2022 Nov;35(5-6):558. doi: 10.1007/s10548-022-00918-9. Brain Topogr. 2022. PMID: 36181602 No abstract available.

3

Optimal Number of Clusters by Measuring Similarity Among Topographies for Spatio-Temporal ERP Analysis.

Mahini R, Xu P, Chen G, Li Y, Ding W, Zhang L, Qureshi NK, Hämäläinen T, Nandi AK, Cong F. Mahini R, et al. Among authors: qureshi nk. Brain Topogr. 2022 Nov;35(5-6):537-557. doi: 10.1007/s10548-022-00903-2. Epub 2022 Jul 18. Brain Topogr. 2022. PMID: 35851668

4

fNIRS-based Neurorobotic Interface for gait rehabilitation.

Khan RA, Naseer N, Qureshi NK, Noori FM, Nazeer H, Khan MU. Khan RA, et al. Among authors: qureshi nk. J Neuroeng Rehabil. 2018 Feb 5;15(1):7. doi: 10.1186/s12984-018-0346-2. J Neuroeng Rehabil. 2018. PMID: 29402310 Free PMC article.

5

Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis.

Nazeer H, Naseer N, Khan RA, Noori FM, Qureshi NK, Khan US, Khan MJ. Nazeer H, et al. Among authors: qureshi nk. J Neural Eng. 2020 Oct 15;17(5):056025. doi: 10.1088/1741-2552/abb417. J Neural Eng. 2020. PMID: 33055382

6

Optimal feature selection from fNIRS signals using genetic algorithms for BCI.

Noori FM, Naseer N, Qureshi NK, Nazeer H, Khan RA. Noori FM, et al. Among authors: qureshi nk. Neurosci Lett. 2017 Apr 24;647:61-66. doi: 10.1016/j.neulet.2017.03.013. Epub 2017 Mar 20. Neurosci Lett. 2017. PMID: 28336339

7

Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface.

Naseer N, Qureshi NK, Noori FM, Hong KS. Naseer N, et al. Among authors: qureshi nk. Comput Intell Neurosci. 2016;2016:5480760. doi: 10.1155/2016/5480760. Epub 2016 Sep 20. Comput Intell Neurosci. 2016. PMID: 27725827 Free PMC article.

8

Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model Coefficients.

Qureshi NK, Naseer N, Noori FM, Nazeer H, Khan RA, Saleem S. Qureshi NK, et al. Front Neurorobot. 2017 Jul 17;11:33. doi: 10.3389/fnbot.2017.00033. eCollection 2017. Front Neurorobot. 2017. PMID: 28769781 Free PMC article.

9

Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application.

Naseer N, Noori FM, Qureshi NK, Hong KS. Naseer N, et al. Among authors: qureshi nk. Front Hum Neurosci. 2016 May 25;10:237. doi: 10.3389/fnhum.2016.00237. eCollection 2016. Front Hum Neurosci. 2016. PMID: 27252637 Free PMC article.

10

The role of the plasmid-mediated fluoroquinolone resistance genes as resistance mechanisms in pediatric infections due to Enterobacterales.

Logan LK, Coy LR, Pitstick CE, Marshall SH, Medernach RL, Domitrovic TN, Konda S, Qureshi NK, Hujer AM, Zheng X, Rudin SD, Weinstein RA, Bonomo RA. Logan LK, et al. Among authors: qureshi nk. Front Cell Infect Microbiol. 2023 Oct 9;13:1249505. doi: 10.3389/fcimb.2023.1249505. eCollection 2023. Front Cell Infect Microbiol. 2023. PMID: 37900312 Free PMC article.

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