Browsing ODA Open Digital Archive by Author "Khan, Haroon"
Now showing items 1-15 of 15
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Analysis of human gait using hybrid EEG-fNIRS-based BCI system: A review
Khan, Haroon; Naseer, Noman; Yazidi, Anis; Eide, Per Kristian; Hassan, Wajahat; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)Human gait is a complex activity that requires high coordination between the central nervous system, the limb, and the musculoskeletal system. More research is needed to understand the latter coordination's complexity in ... -
Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS
Khan, Haroon; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)Gait and balance are an intricate interplay between the brain, nervous system, sensory organs, and musculoskeletal system. They are greatly influenced by the type of footwear, walking patterns, and surface. This exploratory ... -
Classification of Individual Finger Movements from Right Hand Using fNIRS Signal
Khan, Haroon; Noori, Farzan Majeed; Yazidi, Anis; Uddin, Md Zia; Khan, M.N Afzal; Mirtaheri, Peyman (Sensors;Volume 21 / Issue 23, Peer reviewed; Journal article, 2021-11-28)Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ... -
Classification of motor imagery ankle and knee movements using fNIRS
Anwar, Muhammad Umar (Master thesis, 2024)fNIRS, a non-invasive neuroimaging technique, captures neural signals using near-infrared light that give insight into hemodynamic responses. fNIRS is paving the way to being a more viable and reliable neuroimaging technique ... -
Comparison of motor cortex activation in response to individual finger movements from the right hand using functional near-infrared spectroscopy (fNIRS)
Joshi, Devendra (Master thesis, 2024)This study investigates neural activations within the motor cortex during finger-tapping tasks using functional near-infrared spectroscopy (fNIRS). Focusing on individual fingers of the right hand, the research aims to ... -
Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS approach
Yousaf Sattar, Neelum; Kausar, Zareena; Usama, Syed Ali; Naseer, Noman; Farooq, Umer; Abdullah, Ahmed; Hussain, Syed Zahid; Shahbaz Khan, Umar; Khan, Haroon; Mirtaheri, Peyman (IEEE Access;Volume: 9, Peer reviewed; Journal article, 2021-07-26)Limited non-invasive transhumeral prosthesis control exists due to the absence of signal sources on amputee residual muscles. This paper introduces a hybrid brain-machine interface (hBMI) that integrates surface electromyography ... -
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application
Akhter, Jamila; Naseer, Noman; Nazeer, Hammad; Khan, Haroon; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature extraction, classification, and an application phase. In fNIRS‑BCI systems, deep learning (DL) algo‑ rithms play a crucial role in ... -
A feasibility study investigating cortical hemodynamic changes during infinity walk with fNIRS
Khan, Haroon; Naseer, Noman; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)This study seeks to explore the correlation between cortical activation and the Infinity Walk pattern, examining how the influence of foot overpronation and footwear may impact motor control. Functional near-infrared ... -
Feasibility study of multi-wavelength optical probe to analyze magnesium implant degradation effects
Hassan, Hafiz Wajahat; Mathew, Anna; Khan, Haroon; Korostynska, Olga; Mirtaheri, Peyman (Proceedings of IEEE Sensors;, Chapter, 2021)Near-infrared spectroscopy (NIRS) is a rapidly developing and promising technology with potential for spectrographic analysis. Understanding NIRS measurements on the implant-tissue interface for hydrogen gas formation as ... -
Improving the pipeline for the data processing of fNIRS
Hossain, Yameen Irteza (Master thesis, 2024)This thesis strives to meet the pressing demand within the ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) Lab for Biomedical Engineering researchers at Oslo Metropolitan University, for a more adaptable ... -
An overview of assessment tools for determination of biological Magnesium implant degradation
Hassan, Hafiz Wajahat; Grasso, Valeria; Korostynska, Olga; Khan, Haroon; Jose, Jithin; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)Medical implants made of biodegradable materials are advantageous for short-term applications as fracture fixation and mechanical support during bone healing. After completing the healing process, the implant biodegrades ... -
Patient's intention detection and control for sit-stand mechanism of an assistive device for paraplegics
Abdullah, Ahmad; Kausar, Zareena; Hameed, Aamer; R. Shiekh, Shakil; Khan, Haroon (Biomedical Signal Processing and Control;Volume 68, July 2021, 102627, Peer reviewed; Journal article, 2021-04-19)Rehabilitation and assistive technologies are touching new bounds of excellence due to the advent of more user friendly human–machine interfaces (HMI) and ergonomic design principles. Among the most fundamental movements ... -
Single-leg stance on a challenging surface can enhance cortical activation in the right hemisphere – A case study
Khan, Haroon; Qureshi, Nauman Khalid; Yazidi, Anis; Engell, Håvard; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)Maintaining body balance, whether static or dynamic, is critical in performing everyday activities and developing and optimizing basic motor skills. This study investigates how a professional alpine skier’s brain activates ... -
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface
Khan, Haroon; Khadka, Rabindra; Sultan, Malik Shahid; Yazidi, Anis; Ombao, Hernando; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ... -
Unraveling the Motor Cortex for Individual Finger Tapping Movements: An fNIRS Study
Khan, Haroon; Khan, M.N Afzal; Tariq, Usman; Al-Nashash, Hasan; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)Finger tapping is one of the most reliable and widely used tasks for evoking activity in the motor cortex area of the brain, both for the brain–computer interface (BCI) and for evaluating the progress of certain brain ...