Investigation of optimal NMR-on-a-chip sensor positions for monitoring physiological magnetic field changes

Motivation: NMR-based field probes have proven as alternative method for acquiring physiologically-related magnetic field changes. However, positioning of those might be challenging due to variations in breathing patterns and/or anatomy. Goal(s): The goal of this work is to investigate different sensor positions to find optimal positions for measuring respiratory- but also cardiac-related magnetic field changes. Approach: The NMR-on-a-chip sensor was positioned at 7 locations around the torso and the measurement results analysed with respect to the detectable physiological components. Results: Anterior locations at height of the diaphragm and the cranial parasternal positions appear most promising for mapping of the respiration and cardiac motion, respectively. Impact: In this work, different locations for contactless sensing of physiological motion with a NMR-on-a-chip sensor around the torso were investigated. It is shown that both contributions might be separated with either bandpass filtering or principal component analysis.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3802
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of optimal NMR-on-a-chip sensor positions for monitoring physiological magnetic field changes

Tobias Lobmeyer, Frederik Dreyer, Jens Anders, Volker Rasche et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

Investigation of optimal NMR-on-a-chip sensor positions for monitoring physiological magnetic field changes

Tobias Lobmeyer, Frederik Dreyer, Jens Anders, Volker Rasche, Thomas Hüfken, Jianyu Zhao, Fabian Bschorr, Julian Schüle
article en

Abstract

Motivation: NMR-based field probes have proven as alternative method for acquiring physiologically-related magnetic field changes. However, positioning of those might be challenging due to variations in breathing patterns and/or anatomy. Goal(s): The goal of this work is to investigate different sensor positions to find optimal positions for measuring respiratory- but also cardiac-related magnetic field changes. Approach: The NMR-on-a-chip sensor was positioned at 7 locations around the torso and the measurement results analysed with respect to the detectable physiological components. Results: Anterior locations at height of the diaphragm and the cranial parasternal positions appear most promising for mapping of the respiration and cardiac motion, respectively. Impact: In this work, different locations for contactless sensing of physiological motion with a NMR-on-a-chip sensor around the torso were investigated. It is shown that both contributions might be separated with either bandpass filtering or principal component analysis.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Advanced MRI Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.