Browsing ODA Open Digital Archive by Author "Mirtaheri, Peyman"
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3D printing in medical application: an educational design perspective
Mirtaheri, Peyman; Güler, Evin; Gjøvaag, Terje (Chapter; Peer reviewed, 2017)Medical applications for 3D printin g are expanding rapidly and are expected to revolutionize health care. The application of 3D printing in medicine and healthcare can provide many bene fits, including ... -
Analysis and Simulation of the Optical Properties of a Quantum Dot on a Graphene Nanoribbon System
Sahar, Armaghani; Ali, Rostami; Mirtaheri, Peyman (Photonics;Volume 9 / Issue 4, Peer reviewed; Journal article, 2022)In this work, we theoretically study the optical properties of a graphene nanoribbon with a quantum dot (QD) on it. The system consists of a graphene nanoribbon with dimensions of 400 × 3100 (nm2) and a quantum dot with a ... -
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 ... -
Assessing mobility for persons with lower limb amputation: the Figure-of-Eight Walk Test with the inclusion of two novel conditions
Schack, Jette; Mirtaheri, Peyman; Steen, Harald; Gjøvaag, Terje (Disability and Rehabilitation;Published online 17 Sep 2019, Journal article; Peer reviewed, 2019-08-28)Purpose: To investigate the internal consistency, convergent and known-groups construct validity of the Figure-of-Eight Walk Test with two novel conditions in persons with lower limb amputation, and to examine differences ... -
Assessment of aerobic capacity and walking economy of transfemoral amputees
Gjøvaag, Terje; Starholm, Inger Marie; Mirtaheri, Peyman; Wiig Hedde, Fride; Skjetne, Katrine (Prosthetics and orthotics international;, Journal article; Peer reviewed, 2013-06-24)Background: Studies of the maximal oxygen uptake (VO2max) of transfemoral amputees have mostly used protocols that activate a relatively small muscle mass. Consequently, transfemoral amputee VO2max may be systematically ... -
Brain activation monitoring from dot-probe task using functional near-infrared spectrocopy
Ougendal, Sven Ivar (Master thesis, 2023)Over the past decade, there has been a notable increase of 13% in mental health issues. Approximately one in five children and adolescents globally suffer from a mental health problem, with suicide ranking as the second ... -
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 ... -
Carbohydrate and Fat Oxidation in Persons With Lower Limb Amputation During Walking With Different Speeds
Gjøvaag, Terje; Mirtaheri, Peyman; Starholm, Inger Marie (Journal article; Peer reviewed, 2017)Background: Studies suggest that the energy expenditure of healthy persons (control) during walking with the preferred walking speed in steady-state conditions is dominated by fat oxidation. Conversely, carbohydrate and ... -
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 ... -
Creating a pipeline for functional connectivity analysis in fNIRS motor control studies
Lilleseth, Sindre (ACIT;2022, Master thesis, 2022)Functional near-infrared spectroscopy (fNIRS) has shown to be a useful imaging technique for observing the human cortex. Its capabilities of imaging the hemodynamic variations in the cerebral cortex during different ... -
CW fNIRS with short channel regression and amplitude modulation
Engvik, Max; Gjestemoen, Marte Helén Andersen; Horpestad, Anders; Martinsen, Janne; Nordli, Stian (Bachelor thesis, 2018-05-23)Functional Near Infrared Spectroscopy (fNIRS) is a relatively new and promising field within brain imaging and neuroscience. It offers a cost efficient, non-invasive method for brain studies, both for research and clinical ... -
Design and innovation with problem based learning methods: An engineering perspective
Mirtaheri, Peyman; Sponheim, Nils (Chapter; Peer reviewed, 2017)Of the many diverse and fascinating challenges we face today, the most intense and important is how to understand and shape the new technology revolution. We are at the beginning of a revolution that is fundamentally ... -
Does pronation corrective heel wedging reduce the risk of diabetes forefoot ulceration by increasing the microcirculation of the plantar skin tissue?
Mehta, Cèline Natvig (ACIT;2022, Master thesis, 2022)Development of foot ulcers is a known risk in patients with diabetes mellitus, mainly due to atherosclerosis and neuropathy. Though a few national and international guidelines recommend pronation corrective footwear for ... -
Electrically Tunable Perfect Terahertz Absorber Using Embedded Combline Graphene Layer
Maghoul, Amir; Rostami, Ali; Barzinjy, Azeez Abdullah; Mirtaheri, Peyman (Applied Sciences;Volume 11 / Issue 22, Peer reviewed; Journal article, 2021-11-19)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 ... -
Electrically tunable perfect terahertz absorber using embedded combline graphene layer
Maghoul, Amir; Rostami, Ali; Barzinjy, Azeez Abdullah; Mirtaheri, Peyman (Peer reviewed; Journal article, 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 ... -
Energy expenditure of transfemoral amputees during floor and treadmill walking with different speeds
Starholm, Inger Marie; Mirtaheri, Peyman; Kapetanovic, Nihad; Versto, Tarjei; Skyttemyr, Gjermund; Westbye, Fredrik Tobias; Gjøvaag, Terje (Journal article; Peer reviewed, 2015)Background: Walking energy expenditure, calculated as the percent utilization of the maximal aerobic capacity, is little investigated in transfemoral amputees. Objectives: Compare the energy expenditure of healthy ... -
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 ...