About
Peyman Mirtaheri is a full Professor of biomedical engineering at MEC at OsloMet and an adjunct professor at the Biomedical Engineering faculty at Michigan Tech ( https://www.mtu.edu/biomedical/people/faculty/). In addition, he teaches medical sensors and actuators at the ACIT master program (ACIT4720).
He is also the leader of the NIRS/optical lab, which was established in 2009.
His research focus is on:
1) developing new measuring technologies to detect brain activities
2) using the existing technologies such as fNIRS and EEG to understand motion and balance and related activities in the cerebral cortex.
He has also initiated the ADEPT (Advance health intelligence and brain-inspired technologies) research platform consisting of members from faculties of Technology, Art, and Desing-and Health Sciences at Oslo Metropolitan University.
He is currently the project manager and PI of two large projects:
1) PACER, RCN, https://twitter.com/AtPacer )
2) MgSafe ( MSCA-ITN Horizon 2020, https://www.mgsafe.eu/home.html )
3) Future running shoes (IP-N project at RCN in collaboration with Gaitline AS)
For more info: please visit his Twitter account: https://twitter.com/PMirtaheri and the respected Linkedin www.linkedin.com/in/peymanatoslomet
Fields of study
Academic disciplines
Technology Petroleum engineering Other electrotechnical sciences
Subject areas
Functional Near infrared spectroscopy Motion and brain activity
Research projects
-
Brain activation during gait and balance
The human body is a biological marvel in many ways.
Publications and research
Scientific publications
Roalsø, Elise Solbu
;
Klonteig, Sandra
;
Kraft, Brage
;
Skarstein, Siv
;
Hilland, Eva
;
Mirtaheri, Peyman
;
Ålberg, Marianne
;
Jonassen, Rune
(2024).
Over-the-counter analgesic usage: Associations with attentional biases in young women.
Behavioural Pharmacology.
https://doi.org/10.1097/FBP.0000000000000795
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.
8 p.
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 p.
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 p.
IBRO Neuroscience Reports.
Vol. 16.
https://doi.org/10.1016/j.ibneur.2024.01.003
Risnes, Martha;
Thorstensen, Erik
;
Mirtaheri, Peyman
;
Berg, Arild Skarsfjord
(2024).
Exploring value dilemmas of brain monitoring technology through speculative design scenarios.
11 p.
Journal of Responsible Technology.
Vol. 17.
https://doi.org/10.1016/j.jrt.2023.100074
Ifeanyi Okonkwo, Joshua; Abdelfattah, Mohamed;
Mirtaheri, Peyman
;
Muhtaroglu, Ali
(2024).
Energy-aware bio-inspired spiking reinforcement learning system architecture for real-time autonomous edge applications.
Frontiers in Neuroscience.
Vol. 18.
https://doi.org/10.3389/fnins.2024.1431222
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
; 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 p.
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 p.
Sensors.
Vol. 23.
https://doi.org/10.3390/s23094422
Risnes, Martha;
Korostynska, Olga
;
Mirtaheri, Peyman
;
Berg, Arild
(2023).
The role of human experience when making sense of brain monitoring: an interdisciplinary case study to assess wearable, non-invasive, brain-monitoring devices for rehabilitation.
20 p.
Journal of Responsible Innovation.
Vol. 10.
https://doi.org/10.1080/23299460.2023.2175476