Browsing NTNU Open by Author "Mirtaheri, Peyman"
Now showing items 1-7 of 7
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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 ... -
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 (Peer reviewed; Journal article, 2021)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 ... -
Electrically Tunable Perfect Terahertz Absorber Using Embedded Combline Graphene Layer
Maghoul, Amir; Rostami, Ali; Barzinjy, Azeez Abdullah; Mirtaheri, Peyman (Journal article; Peer reviewed, 2021)Graphene is a powerful 2-D matter with the capability of extraordinary transparency, and tunable conductivity is employed in emerging optoelectronics devices. In this article, the design of an electrically tunable ... -
In Vivo Analysis of a Biodegradable Magnesium Alloy Implant in an Animal Model Using Near-Infrared Spectroscopy
Mathew, Anna; Hassan, Hafiz Wajahat; Korostynska, Olga; Westad, Frank; Mota-Silva, Eduardo; Menichetti, Luca; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)Biodegradable Magnesium (Mg) based implants have several advantages over non-biodegradable metallic implants as they have mechanical properties close to the natural bone. Monitoring the interaction of magnesium with tissue ... -
In Vivo Analysis of a Biodegradable Magnesium Alloy Implant in an Animal Model Using Near-Infrared Spectroscopy
Mathew, Anna; Hassan, Hafiz Wajahat; Korostynska, Olga; Westad, Frank; Mota-Silva, Eduarda; Menichetti, Luca; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)Biodegradable magnesium-based implants offer mechanical properties similar to natural bone, making them advantageous over nonbiodegradable metallic implants. However, monitoring the interaction between magnesium and tissue ... -
An Optical Modeling Framework for Coronavirus Detection Using Graphene-Based Nanosensor
Maghoul, Amir; Simonsen, Ingve; Rostami, Ali; Mirtaheri, Peyman (Peer reviewed; Journal article, 2022)The outbreak of the COVID-19 virus has faced the world with a new and dangerous challenge due to its contagious nature. Hence, developing sensory technologies to detect the coronavirus rapidly can provide a favorable ... -
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 ...