Wireless Electromagnetic Sensors for Image-Guided Cardiothoracic Procedures

Electromagnetic tracking (EMT) is essential in surgical navigation without line of sight and to reduce the use of harmful radiation-based imaging. The inductive sensors used in current EMT systems are small, often less than a millimeter in diameter, but the need for a wired connection from the sensor to the control unit can cause obstructions and complicate the surgical field. This work introduces a novel wireless method of tracking electromagnetic (EM) sensors with immediate applications intended to streamline surgical workflows. Wireless EM 6-degree-of-freedom (DOF) sensor nodes were designed and manufactured with the intended use as a patient-mounted registration device. The battery-powered prototype device was shown to have a position and orientation trueness of 0.84 mm and 0.7°, respectively, over a tracking volume of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$40\times 40\times 35$ </tex-math></inline-formula> cm. The sensor node performs analog and digital signal processing and uses bluetooth low energy (BLE) to transmit the sensor data at a 25-Hz refresh rate. The Bluetooth-based wireless EM sensor nodes developed in this work have comparable performance to standard wired sensors and were tested in both a static volume characterization and a dynamic ex vivo lung model. The work in this article is based on the open-source Anser EMT system although the approach can be generalized to any tracking system. Wireless EMT offers the potential to introduce computer-assisted navigation in surgical procedures where wired sensors were previously infeasible.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-09-19
DOI
https://doi.org/10.1109/jsen.2024.3458454
Citations
3
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.63

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article

Wireless Electromagnetic Sensors for Image-Guided Cardiothoracic Procedures

Pádraig Cantillon‐Murphy, Marco Cavaliere, Charu Pande, Daragh Crowley et al.
3 citations
IEEE Sensors Journal
Wireless Power Transfer Systems
0.63
article

Wireless Electromagnetic Sensors for Image-Guided Cardiothoracic Procedures

Pádraig Cantillon‐Murphy, Marco Cavaliere, Charu Pande, Daragh Crowley, Herman Alexander Jaeger, E. F. Higgins, Kilian O’Donoghue
article en
3 citations

Abstract

Electromagnetic tracking (EMT) is essential in surgical navigation without line of sight and to reduce the use of harmful radiation-based imaging. The inductive sensors used in current EMT systems are small, often less than a millimeter in diameter, but the need for a wired connection from the sensor to the control unit can cause obstructions and complicate the surgical field. This work introduces a novel wireless method of tracking electromagnetic (EM) sensors with immediate applications intended to streamline surgical workflows. Wireless EM 6-degree-of-freedom (DOF) sensor nodes were designed and manufactured with the intended use as a patient-mounted registration device. The battery-powered prototype device was shown to have a position and orientation trueness of 0.84 mm and 0.7°, respectively, over a tracking volume of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$40\times 40\times 35$ </tex-math></inline-formula> cm. The sensor node performs analog and digital signal processing and uses bluetooth low energy (BLE) to transmit the sensor data at a 25-Hz refresh rate. The Bluetooth-based wireless EM sensor nodes developed in this work have comparable performance to standard wired sensors and were tested in both a static volume characterization and a dynamic ex vivo lung model. The work in this article is based on the open-source Anser EMT system although the approach can be generalized to any tracking system. Wireless EMT offers the potential to introduce computer-assisted navigation in surgical procedures where wired sensors were previously infeasible.

IEEE Sensors JournalVol. 24(22)
National University of Ireland (IE), University College Cork (IE), Farran Technology (Ireland) (IE), International Energy Research Centre (IE)
Science Foundation Ireland, H2020 European Research Council
Openalex Percentile: Top 31%
Wireless Power Transfer Systems
0.63
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