A Novel Wireless 5-D Electromagnetic Tracking System Based on Nine-Channel Sinusoidal Signals

Yang, Wei; Zhang, Chaoyang; Dai, Houde; Hu, Chao; Xia, Xuke

doi:10.1109/tmech.2020.3011732

Cited by 23 publications

(10 citation statements)

References 27 publications

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“…On the other hand, quasi-static magnetic localization methods are based on alternating-current signals in the kilohertz range generated by a coil, and thus, no geomagnetic compensation method is required. The magnetic field generated by a coil outside the body was sensed by receiving coils [ 15 , 19 ] integrated into the capsule. In this way, position and orientation errors below 3 mm [ 15 , 19 ] and 0.2° [ 19 ] were reported.…”

Section: Discussionmentioning

confidence: 99%

“…The magnetic field generated by a coil outside the body was sensed by receiving coils [ 15 , 19 ] integrated into the capsule. In this way, position and orientation errors below 3 mm [ 15 , 19 ] and 0.2° [ 19 ] were reported. The results showed that quasi-static magnetic localization methods are competitive with static methods.…”

Section: Discussionmentioning

confidence: 99%

“…However, since the magnetic field is measured inside the capsule, the number of sensors/receiving coils is inherently restricted. Moreover, Yang et al [ 19 ] used a single uni-axial receiving coil; therefore, the localization performance significantly depended on the orientation of the capsule.…”

Section: Discussionmentioning

confidence: 99%

“…The third method is the magnetic field-based localization of WCE capsules, which showed the best localization performance [ 3 , 5 ]. Well-established magnetic localization methods are either based on transmitting a magnetic signal using a coil [ 15 , 16 , 17 , 18 , 19 ] or a permanent magnet [ 4 , 20 , 21 , 22 , 23 ]. Permanent magnets as a magnetic field source are integrated into the capsule.…”

Section: Introductionmentioning

confidence: 99%

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Systematic Performance Evaluation of a Novel Optimized Differential Localization Method for Capsule Endoscopes

Zeising

Ararat

Thalmayer

et al. 2021

Sensors

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Capsule endoscopy is a well-established diagnostic tool for the gastrointestinal tract. However, the reliable tracking of capsule endoscopes needs further investigation. Recently, the static magnetic differential method for the localization of capsule endoscopes has shown promising results. This method was experimentally validated by investigating the difference in the measured values of the geomagnetic flux density of a representative sensor pair. In the measurements, it was revealed that misalignment of the sensors and ferromagnetic material near the sensor pair had the most significant impact on the differential approach. Besides, a systematical simulation-based study was conducted. Herein, the position and alignment of all sensors of the localization system were randomly varied. Furthermore, root-mean-squared noise was added to the sensor measurements, and the influence of nearby ferromagnetic material was evaluated. Subsequently, non-idealities were applied simultaneously on the proposed localization system, and the entire system was rotated. The proposed method was significantly better than state-of-the-art geomagnetic compensation methods for the localization of capsule endoscopes with mean position and orientation errors of approximately 2 mm and 1°, respectively.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Systematic Performance Evaluation of a Novel Optimized Differential Localization Method for Capsule Endoscopes

Zeising

Ararat

Thalmayer

et al. 2021

Sensors

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“…Radiofrequency (RF) localization mainly focuses on analyzing high‐frequency electromagnetic signals to obtain the locations and postures of microrobots (Figure 2h). [ 94,95 ] RF‐based strategy possesses the advantages of low hardware cost and high applicability. Similar to magnetic localization, the spatial resolution of the RF‐based method is related to the accuracy of RF waves and the performance of the receivers; the temporal resolution is determined by the data transmission speed and decoding algorithms.…”

Section: Open‐loop Control Of Microrobotsmentioning

confidence: 99%

Control and Autonomy of Microrobots: Recent Progress and Perspective

Jiang

Yang

Ferreira

et al. 2022

Advanced Intelligent Systems

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After decades of development, microrobots have exhibited great application potential in the biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing. Compared with conventional medical robotic systems, microrobots may be capable of reaching more narrow and vulnerable regions in the human body with minimal damage. However, limited by the small scale of microrobots, microprocessors, power supplies, and sensors can hardly be integrated on‐board. Thus, new strategies for the actuation and feedback for microrobots need to be explored. Furthermore, the open‐loop control method accomplished by operators may lack accuracy, and long‐duration operation could bring a severe physical challenge in many applications. Consequently, the automatic control of microrobots with the aid of control theories is developed to improve the control efficiency and precision. To further promote the automation level of microrobots, machine learning algorithms are expected to provide a solution to let microrobots adapt to more dynamic environments and undertake more complex medical tasks. Herein, a systematic introduction of the manipulation of microrobots from open‐loop to closed‐loop control is given in this review. It is envisioned that microrobots will play an important role in future biomedical applications.

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