Haroon Khan

Vitenskapelige publikasjoner

Khan, Haroon ; Khadka, Rabindra ; Sultan, Malik Shahid; Yazidi, Anis ; Ombao, Hernando; Mirtaheri, Peyman (2024). Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface. Frontiers in Human Neuroscience. Vol. 18.
https://doi.org/10.3389/fnhum.2024.1354143

Khan, Haroon ; Khan, M.N Afzal; Tariq, Usman; Al-Nashash, Hasan; Mirtaheri, Peyman (2024). Unraveling the Motor Cortex for Individual Finger Tapping Movements: An fNIRS Study. 9 s. IEEE Sensors Journal. Vol. 24.
https://doi.org/10.1109/JSEN.2024.3404030

Akhter, Jamila; Naseer, Noman; Nazeer, Hammad; Khan, Haroon ; Mirtaheri, Peyman (2024). Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application. 20 s. Sensors. Vol. 24.
https://doi.org/10.3390/s24103040

Khan, Haroon ; Naseer, Noman; Mirtaheri, Peyman (2024). A feasibility study investigating cortical hemodynamic changes during infinity walk with fNIRS. 7 s. IBRO Neuroscience Reports. Vol. 16.
https://doi.org/10.1016/j.ibneur.2024.01.003

Khan, Haroon ; Qureshi, Nauman Khalid; Yazidi, Anis ; Engell, Håvard; Mirtaheri, Peyman (2023). Single-leg stance on a challenging surface can enhance cortical activation in the right hemisphere – A case study. 9 s. Heliyon. Vol. 9.
https://doi.org/10.1016/j.heliyon.2023.e13628

Khan, Haroon ; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (2023). Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS. 13 s. Sensors. Vol. 23.
https://doi.org/10.3390/s23094422

Abdullah, Ahmad; Kausar, Zareena; Hameed, Aamer; R. Shiekh, Shakil; Khan, Haroon (2021). Patient's intention detection and control for sit-stand mechanism of an assistive device for paraplegics. Biomedical Signal Processing and Control. Vol. 68.
https://doi.org/10.1016/j.bspc.2021.102627

Hassan, Hafiz Wajahat; Mathew, Anna ; Khan, Haroon ; Korostynska, Olga ; Mirtaheri, Peyman (2021). Feasibility Study of Multi-Wavelength Optical Probe to Analyze Magnesium Implant Degradation Effects. McShane, Mike; Mukhopadhyay, Subhas; Bhattacharya, Enakshi (Red.). IEEE Sensors 2021 Conference Proceedings. IEEE Sensors Council.
https://doi.org/10.1109/SENSORS47087.2021.9639741

Khan, Haroon ; Noori, Farzan Majeed; Yazidi, Anis ; Uddin, Md Zia; Khan, M.N Afzal; Mirtaheri, Peyman (2021). Classification of Individual Finger Movements from Right Hand Using fNIRS Signals. 14 s. Sensors. Vol. 21.
https://doi.org/10.3390/s21237943

Khan, Haroon ; Naseer, Noman; Yazidi, Anis ; Eide, Per Kristian; Hassan, Wajahat; Mirtaheri, Peyman (2021). Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review. Frontiers in Human Neuroscience. Vol. 14.
https://doi.org/10.3389/fnhum.2020.613254

Formidling

Masood, Anum; Somani, Ayush; Khan, Haroon ; Chauhan, Pavitra (2022). Challenge of RRI Implementation - A Boardgame to Bridge the Gap between Intentions and Outcomes. AFINO and DLN Summer Research School 2022. AFINO and DLN.
https://www.ntnu.edu/web/afino/a-boardgame-to-play

Khan, Haroon ; Noori, Farzan Majeed; Naseer, Noman; Qureshi, Nauman Khalid; Nazeer, Hammad; Mirtaheri, Peyman (2021). Classification of Individual Finger Movements using fNIRS for BCI Applications. Society of fNIRS Virtual Conference 2021. Society of functional near infrared spectroscopy .

Khan, Haroon ; Nazeer, Hammad; Engell, Håvard; Naseer, Noman; Korostynska, Olga ; Mirtaheri, Peyman (2021). Prefrontal Cortex Activation Measured during Different Footwear and Ground Conditions Using fNIRS – A Case Study. International Conference on Artificial Intelligence and Mechatronics Systems (AIMS 2021). IEEE, Universitas Padjadjara, Air University.