Electromagnetics in Health Technology

The group develops computational methods for multi-physics modelling of the human body.
Electromagnetics in Health Technology

The research combines numerical analysis of electromagnetic fields with anatomical and functional modelling, having multidisciplinary applications in biomedical engineering (device development), clinical practice (diagnosis and rehabilitation), and neurosciences (brain research).

The first focus area of the research is developing computational tools for modelling non-invasive brain stimulation. In the future, the methods will help scientists to carefully craft stimulation protocols rather than relying on trial and error, improving the safety and efficacy of stimulation and allowing individually planned treatment.

The group also uses computer simulations to study the electromagnetic safety of new technologies and aid the development of novel health care applications .

The research group is led by Assistant Professor Ilkka Laakso.

Group members

Ilkka Laakso

Department of Electrical Engineering and Automation
Assistant Professor

Marko Mikkonen

Department of Electrical Engineering and Automation
Doctoral Candidate

Kamya Yekeh Yazdandoost

Department of Electrical Engineering and Automation
Research Fellow

Marco Soldati

Department of Electrical Engineering and Automation
Doctoral Candidate

Latest publications

Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization

Publishing year: 2019 Brain Stimulation
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks

Publishing year: 2019 Brain Stimulation
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Comparison of numerical techniques for the evaluation of human exposure from measurement data

Publishing year: 2019 IEEE Transactions on Magnetics
Department of Electrical Engineering and Automation, Department of Neuroscience and Biomedical Engineering, Electromagnetics in Health Technology

Group-level and functional-region analysis of electric-field shape during cerebellar transcranial direct current stimulation with different electrode montages

Publishing year: 2019 JOURNAL OF NEURAL ENGINEERING
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

RF Field Based Detection of Compartment Syndrome

Publishing year: 2019
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Effects of posture on electric fields of non-invasive brain stimulation

Publishing year: 2019 Physics in Medicine and Biology
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Can electric fields explain inter-individual variability in transcranial direct current stimulation of the motor cortex?

Publishing year: 2019 Scientific Reports
Department of Neuroscience and Biomedical Engineering, Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Coil model comparison for cerebellar transcranial magnetic stimulation

Publishing year: 2019 Biomedical Physics and Engineering Express
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

Computational low-frequency electromagnetic dosimetry based on magnetic field measurements

Publishing year: 2018 IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Department of Electrical Engineering and Automation, Electromagnetics in Health Technology

A multi-scale computational approach based on TMS experiments for the assessment of electro-stimulation thresholds of the brain at intermediate frequencies

Publishing year: 2018 Physics in Medicine and Biology
More information on our research in the Research database.
Research database
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