Norwegian version
Peyman Mirtaheri

Peyman Mirtaheri

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

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





These publications are obtained from Cristin. The list may be incomplete