Magnetic Marker Localization System Using a Super-Low-Frequency Signal

Oyama, Daisuke; Adachi, Yoshiaki; Higuchi, Masanori; Uehara, Gen

doi:10.1109/tmag.2014.2331370

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…But the disadvantages are harsh operating conditions, susceptibility to interference from other factors (batteries, geomagnetism, and metals), and the test equipment required for this test is expensive. To eliminate interference, experiments need to be performed in a magnetically shielded room, and errors can also be reduced by calculating the variation in magnetic field strength due to external factors and by operating in a low-frequency environment [9] [14].…”

Section: Analysis and Discussion Of Advantages And Disadvantagesmentioning

confidence: 99%

A review of the application of wireless positioning technology in micro robots in vivo

Huang

Shi³

et al. 2023

Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022)

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With the rapid development of science and technology, people have more requirements for comfort, economy, and portability of medical equipment, and micro robots could satisfy these needs. Micro robots can achieve non-invasive in vivo treatment and targeted drug delivery, so this technology is becoming more and more important in the biomedical engineering field. In this paper, aiming at the research difficulty of wireless positioning technology of micro robots in vivo, different technologies are reviewed, compared, summarized, and prospected, which provides a certain reference and help for researchers in related fields.

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Section: Analysis and Discussion Of Advantages And Disadvantagesmentioning

confidence: 99%

A review of the application of wireless positioning technology in micro robots in vivo

Huang

Shi³

et al. 2023

Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022)

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“…Oyama et al presented a magnetic marker localization system by using a super-low-frequency signal [33]. To accomplish the real-time data collection, Wu et al developed wearable array system [7] by 10 sensor modules to cover the human stomach and small intestine area, with each module made of 6 Hall Effect sensors to detect the 3D magnetic signal.…”

Section: Recent Development Of the Capsule Localizationmentioning

confidence: 99%

Locating Intra-Body Capsule Object by Three-Magnet Sensing System

Ren

You

et al. 2016

IEEE Sensors J.

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Magnetic localization is an appropriate method for tracing an intra-body capsule object because of its satisfactory accuracy and efficiency. In this method, the capsule is enclosed in a ring magnet, which establishes a magnetic field around the human body. By using a sensor array system with a number of triaxial magnetic sensors, the magnetic flux densities can be measured, and the magnet can be localized by an appropriate algorithm. However, a problem for such a system is that the movements of the human body have interferences on the localization. Therefore, in order to compensate the interferences, we propose a three-magnet localization method. Here, in addition to the capsule object magnet, two other magnets are fixed on the surface of the human body to serve as reference objects. The position and orientation parameters of all the three magnets are determined by applying the optimal algorithm on the sensing data from the sensor array. Then, a reference coordinate system is built based on the two reference objects, and the capsule magnet is relatively tracked with respect to this reference system in human body. The experimental results show that the average localization error caused by the body movement interference is reduced from 30.1 mm (in the original coordinate system) to 3.82 mm (in reference coordinate system) and the average direction error reduced from 17.7°to 2.2°.

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“…Additionally, we found that the noise of the parallel fluxgate magnetometer composed of a permalloy ring could also be suppressed using a DC-biased excitation method, which applies the DC-biased excitation field to the core and demodulates the output signal of the sensing coil with the fundamental frequency, as based on Kado's idea 9) . We developed a multi-channel parallel fluxgate sensor array for a motion detector system using the DC-biased excitation method 10) . However, we have not yet confirmed that the noise can be suppressed by the DC-biased excitation method in parallel fluxgate magnetometers, although the basic concept of the sensor head are same as those of the previous studies.…”

Section: Introductionmentioning

confidence: 99%

Noise Suppression in Parallel Fluxgate Magnetometers by DC-Biased Excitation Method

et al. 2020

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We experimentally revealed that a direct current (DC) biased excitation method can reduce the noise in parallel fluxgate magnetometers composed of a permalloy ring core. The noise suppression was achieved by decreasing the Barkhausen noise and increasing the open-loop sensitivity using the nonlinearity of the B-H curve with the DC-biased excitation. The noise performance depends on the excitation parameters: frequency, amplitude, and DC-bias. We proposed that the parameters should be determined based on the evaluation of the sensitivity and noise level in both open-loop and closed-loop modes. Specifically, a contour map of the closed-loop noise is useful for understanding the noise decrease with different values of the amplitude and DC-bias. We also demonstrated the effectiveness of the DC-biased excitation method using a commercially available fluxgate magnetometer (APS520A, Applied Physics Systems). Using the DC-biased excitation method, the noise level was approximately one-fourth compared to that of the original electronics.

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Magnetic Marker Localization System Using a Super-Low-Frequency Signal

Cited by 5 publications

References 8 publications

A review of the application of wireless positioning technology in micro robots in vivo

A review of the application of wireless positioning technology in micro robots in vivo

Locating Intra-Body Capsule Object by Three-Magnet Sensing System

Noise Suppression in Parallel Fluxgate Magnetometers by DC-Biased Excitation Method

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