activity
20192022
most citedMagnetic-field modeling with surface currents: Physical and computational principles of bfieldtools

55 citations · 112 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2022

Calibration and localization of optically pumped magnetometers using electromagnetic coils

Joonas Iivanainen, Amir Borna, Rasmus Zetter +6

In this paper, we propose a method to estimate the position, orientation and gain of a magnetic field sensor using a set of (large) electromagnetic coils. We apply the method for c…

physics.med-ph20207 cited

Spatial sampling of MEG and EEG revisited: From spatial-frequency spectra to model-informed sampling

Joonas Iivanainen, Antti J. Mäkinen, Rasmus Zetter +3

In this paper, we analyze spatial sampling of electro- (EEG) magnetoencephalography (MEG), where the electric or magnetic field is typically sampled on a curved surface such as the…

physics.comp-ph202055 cited

Magnetic-field modeling with surface currents: Physical and computational principles of bfieldtools

Antti J. Mäkinen, Rasmus Zetter, Joonas Iivanainen +3

Surface currents provide a general way to model static magnetic fields in source-free volumes. To facilitate the use of surface currents in magneto-quasistatic problems, we have im…

physics.comp-ph202046 cited

Magnetic-field modeling with surface currents: Implementation and usage of bfieldtools

Rasmus Zetter, Antti J. Mäkinen, Joonas Iivanainen +3

We present a novel open-source Python software package, bfieldtools, for magneto-quasistatic calculations with current densities on surfaces of arbitrary shape. The core functional…

physics.med-ph20194 cited

Sampling theory for spatial field sensing: Application to electro- and magnetoencephalography

Joonas Iivanainen, Antti Mäkinen, Rasmus Zetter +3

We present a theoretical framework for analyzing spatial sampling of fields in three-dimensional space. The framework bridges Shannon's sampling and information theory to Bayesian…