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Inspelning av fysiologiska signaler under magnetisk resonanstomografi

Nilsson, Leo LU and Olsson, Daniel LU (2026) EEML05 20261
Division for Biomedical Engineering
Abstract
Background: Monitoring of essential physiological parameters is standard practice during magnetic resonance imaging, MRI. However, signal extraction and post-examination analysis of these parameters at SUS Lund is limited, mainly due to insufficient software capabilities. Yet researchers and physicians alike have voiced their interest in a program that manages structured and synchronized capture of these values. As such the aim of this project is to develop a program enabling recording and reconstruction of the signals of interest, aswell as preparing the program for possible clinical implementation.
Methods: The software solution was developed using LabVIEW with the hardware consisting of a data acquisition device, DAQ. The proposed... (More)
Background: Monitoring of essential physiological parameters is standard practice during magnetic resonance imaging, MRI. However, signal extraction and post-examination analysis of these parameters at SUS Lund is limited, mainly due to insufficient software capabilities. Yet researchers and physicians alike have voiced their interest in a program that manages structured and synchronized capture of these values. As such the aim of this project is to develop a program enabling recording and reconstruction of the signals of interest, aswell as preparing the program for possible clinical implementation.
Methods: The software solution was developed using LabVIEW with the hardware consisting of a data acquisition device, DAQ. The proposed software solution is based on a producer-consumer design and was developed with insights from clinical personnel with a focus on usability. Testrecordings were accomplished through the use of an MR patient monitoring system, and measurements of the analog signals were conducted in order to determine any eventual relation between the aforementioned and scaling factors.
Results: A refined user interface of the program contains guardrails and restrictions to guide the user. The physiological signals ECG, SpO2, blood pressure and respiration were extracted and could be saved as csv files in an organized manner. These files allow retrospective data plotting. The scaling factors on the patient monitor had no effects on the extracted analog signal.
Conclusion: This solution enables saving of physiological signals from patients during MRI with a user interface usable by the clinic and allows researchers to analyze valuable data. (Less)
Please use this url to cite or link to this publication:
author
Nilsson, Leo LU and Olsson, Daniel LU
supervisor
organization
alternative title
Recording of Physiological Signals during Magnetic Resonance Imaging
course
EEML05 20261
year
type
M2 - Bachelor Degree
subject
language
Swedish
id
9238776
date added to LUP
2026-06-23 12:44:51
date last changed
2026-06-23 12:44:51
@misc{9238776,
  abstract     = {{Background: Monitoring of essential physiological parameters is standard practice during magnetic resonance imaging, MRI. However, signal extraction and post-examination analysis of these parameters at SUS Lund is limited, mainly due to insufficient software capabilities. Yet researchers and physicians alike have voiced their interest in a program that manages structured and synchronized capture of these values. As such the aim of this project is to develop a program enabling recording and reconstruction of the signals of interest, aswell as preparing the program for possible clinical implementation. 
Methods: The software solution was developed using LabVIEW with the hardware consisting of a data acquisition device, DAQ. The proposed software solution is based on a producer-consumer design and was developed with insights from clinical personnel with a focus on usability. Testrecordings were accomplished through the use of an MR patient monitoring system, and measurements of the analog signals were conducted in order to determine any eventual relation between the aforementioned and scaling factors.
Results: A refined user interface of the program contains guardrails and restrictions to guide the user. The physiological signals ECG, SpO2, blood pressure and respiration were extracted and could be saved as csv files in an organized manner. These files allow retrospective data plotting. The scaling factors on the patient monitor had no effects on the extracted analog signal. 
Conclusion: This solution enables saving of physiological signals from patients during MRI with a user interface usable by the clinic and allows researchers to analyze valuable data.}},
  author       = {{Nilsson, Leo and Olsson, Daniel}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Inspelning av fysiologiska signaler under magnetisk resonanstomografi}},
  year         = {{2026}},
}