Research projects
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Brain activation during gait and balance
The human body is a biological marvel in many ways.
Publications and research
Scientific publications
Khan, Haroon; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (2023). Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS. Sensors . Vol. 23.
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. Heliyon . Vol. 9.
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 (Ed.). IEEE Sensors 2021 Conference Proceedings. Artikkel. IEEE Sensors Council.
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.
Sensors
.
Vol. 21.
http://hdl.handle.net/10852/89578
Yousaf Sattar, Neelum; Kausar, Zareena; Usama, Syed Ali; Naseer, Noman; Farooq, Umer; Abdullah, Ahmed; Hussain, Syed Zahid; Shahbaz Khan, Umar; Khan, Haroon; Mirtaheri, Peyman (2021). Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS approach. IEEE Access . Vol. 9.
Hassan, Hafiz Wajahat; Grasso, Valeria; Korostynska, Olga; Khan, Haroon; Jose, Jithin; Mirtaheri, Peyman (2021). An overview of assessment tools for determination of biological Magnesium implant degradation. Medical Engineering and Physics . Vol. 93.
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.
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://hdl.handle.net/11250/3019048