Design and Implementation of 3D Positioning Algorithms Based on RF Signal Radiation Patterns for In Vivo Micro-robot

Le, Zhang; Zhu, Yongxin; Mo, Tingting; Hou, Jinlong; Rong, Guoguang

doi:10.1109/bsn.2010.54

Cited by 12 publications

(6 citation statements)

References 3 publications

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“…Besides the RSS technique, RFID is also investigated in RF-based localization systems for WCE [27,28,29,30,31]. Here, a cubic antenna array is placed around the human body to detect an RFID tag placed inside a capsule.…”

Section: Radio-frequency Electromagnetic Signal-based Localizationmentioning

confidence: 99%

“…Localization is performed based on the assumption that the closest antenna detects the tag. An improved method consisting of RFID tags having bi-directional antennas is presented in [29,31]. The phase difference of the signal from an RFID tag without any localization algorithm is discussed in [27].…”

Section: Radio-frequency Electromagnetic Signal-based Localizationmentioning

confidence: 99%

See 1 more Smart Citation

Localization and Tracking of Implantable Biomedical Sensors

Umay

Fi̇dan

Barshan

2017

Sensors

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Implantable sensor systems are effective tools for biomedical diagnosis, visualization and treatment of various health conditions, attracting the interest of researchers, as well as healthcare practitioners. These systems efficiently and conveniently provide essential data of the body part being diagnosed, such as gastrointestinal (temperature, pH, pressure) parameter values, blood glucose and pressure levels and electrocardiogram data. Such data are first transmitted from the implantable sensor units to an external receiver node or network and then to a central monitoring and control (computer) unit for analysis, diagnosis and/or treatment. Implantable sensor units are typically in the form of mobile microrobotic capsules or implanted stationary (body-fixed) units. In particular, capsule-based systems have attracted significant research interest recently, with a variety of applications, including endoscopy, microsurgery, drug delivery and biopsy. In such implantable sensor systems, one of the most challenging problems is the accurate localization and tracking of the microrobotic sensor unit (e.g., robotic capsule) inside the human body. This article presents a literature review of the existing localization and tracking techniques for robotic implantable sensor systems with their merits and limitations and possible solutions of the proposed localization methods. The article also provides a brief discussion on the connection and cooperation of such techniques with wearable biomedical sensor systems.

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Section: Radio-frequency Electromagnetic Signal-based Localizationmentioning

confidence: 99%

Section: Radio-frequency Electromagnetic Signal-based Localizationmentioning

confidence: 99%

Localization and Tracking of Implantable Biomedical Sensors

Umay

Fi̇dan

Barshan

2017

Sensors

View full text Add to dashboard Cite

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“…Beside the RSSI technique, RFID is also investigated in radio frequency based localization systems for WCE [66][67][68]. A cubic antenna array is built surrounding a patient's body to track a RFID tag integrated inside a capsule.…”

Section: Radio Frequency Identification (Rfid)mentioning

confidence: 99%

“…Therefore, a better method for location estimation was then presented to replace the previous one. In this method [67][68], the tag consists of a bidirectional antenna that can transmit RF signals in two opposite directions. After receiving a wake-up signal from the RFID reader, the tag, which is powered by its own battery, sends a reply signal to the cubic array.…”

Section: Radio Frequency Identification (Rfid)mentioning

confidence: 99%

A Review of Localization Systems for Robotic Endoscopic Capsules

Than

Alici

Zhou

et al. 2012

IEEE Trans. Biomed. Eng.

231

152

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“…Since the capsule itself cannot provide the position information, an additional tracking system is required for localization. Two main localization methods have been implemented to feedback the CE's position: the magnetic field strength-based method (using Hall sensor array) [25][26][27] and the electromagneticwave-based method (RF coils) [28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Automated Bowel Polyp Detection Based on Actively Controlled Capsule Endoscopy: Feasibility Study

Hoang

Nguyen²,

Kim³

et al. 2021

Diagnostics

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This paper presents an active locomotion capsule endoscope system with 5D position sensing and real-time automated polyp detection for small-bowel and colon applications. An electromagnetic actuation system (EMA) consisting of stationary electromagnets is utilized to remotely control a magnetic capsule endoscope with multi-degree-of-freedom locomotion. For position sensing, an electronic system using a magnetic sensor array is built to track the position and orientation of the magnetic capsule during movement. The system is integrated with a deep learning model, named YOLOv3, which can automatically identify colorectal polyps in real-time with an average precision of 85%. The feasibility of the proposed method concerning active locomotion and localization is validated and demonstrated through in vitro experiments in a phantom duodenum. This study provides a high-potential solution for automatic diagnostics of the bowel and colon using an active locomotion capsule endoscope, which can be applied for a clinical site in the future.

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Design and Implementation of 3D Positioning Algorithms Based on RF Signal Radiation Patterns for In Vivo Micro-robot

Cited by 12 publications

References 3 publications

Localization and Tracking of Implantable Biomedical Sensors

Localization and Tracking of Implantable Biomedical Sensors

A Review of Localization Systems for Robotic Endoscopic Capsules

Automated Bowel Polyp Detection Based on Actively Controlled Capsule Endoscopy: Feasibility Study

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