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Sensors (Basel, Switzerland)|May 25, 2024
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain-Computer Interface ApplicationJamila Akhter, Noman Naseer, Hammad Nazeer, et al.
IBRO Neuroscience Reports|February 23, 2024
A feasibility study investigating cortical hemodynamic changes during infinity walk with fNIRSHaroon Khan, Noman Naseer, Peyman Mirtaheri
Sensors (Basel, Switzerland)|May 13, 2023
Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRSHaroon Khan, Marco Antonio Pinto-Orellana, Peyman Mirtaheri
Human Movement Science|December 4, 2025
Evaluating cortical activity and balance performance in Alpine skiers: An fNIRS studyHaroon Khan, Paolo Victor Redondo, Håvard Engell, et al.
Heliyon|February 27, 2023
Single-leg stance on a challenging surface can enhance cortical activation in the right hemisphere - A case studyHaroon Khan, Nauman Khalid Qureshi, Anis Yazidi, et al.
Medical Engineering & Physics|June 22, 2021
An overview of assessment tools for determination of biological Magnesium implant degradationHafiz Wajahat Hassan, Valeria Grasso, Olga Korostynska, et al.
Frontiers in Human Neuroscience|March 4, 2024
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interfaceHaroon Khan, Rabindra Khadka, Malik Shahid Sultan, et al.
Frontiers in Human Neuroscience|February 11, 2021
Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A ReviewHaroon Khan, Noman Naseer, Anis Yazidi, et al.
Sensors (Basel, Switzerland)|December 10, 2021
Classification of Individual Finger Movements from Right Hand Using fNIRS SignalsHaroon Khan, Farzan M Noori, Anis Yazidi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
fNIRS Based Comparative Study of Classifiers and Feature Selection Techniques for Finger TappingUrooj Abid, Osama Zulfiqar, Hammad Nazeer, et al.
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