Electromagnetic Tracking for Rehabilitation Applications-A Survey

Hai Lan , Pengrong Chen , Chengwen Zhang , Zhihua Zhou , Xinying Shan , Houde Dai , Tim C. Lueth

Intell. Rehabil. Eng. ›› 2026, Vol. 1 ›› Issue (1) : 10005

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Intell. Rehabil. Eng. ›› 2026, Vol. 1 ›› Issue (1) :10005 DOI: 10.70322/ire.2026.10005
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Electromagnetic Tracking for Rehabilitation Applications-A Survey
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Abstract

Motion tracking plays a crucial role in the quantitative assessment and clinical rehabilitation of motor symptoms. While optical tracking and inertial sensing are mainstream, they are frequently limited by line-of-sight occlusions or data drift. Electromagnetic tracking (EMT) technology offers a powerful complementary solution due to its unique capabilities in full-pose tracking and occlusion-free measurements. To facilitate the integration of this technology into medical settings, this paper presents a structured overview of EMT approaches within rehabilitation applications. We systematically review the field from foundational physics and hardware architectures to advanced algorithmic frameworks. Particular emphasis is placed on recent breakthroughs in interference compensation and data-driven methods that enhance tracking robustness. Furthermore, we categorize representative clinical applications by scenario and target population, ultimately outlining key research trends and open opportunities to guide future development in this expanding domain.

Keywords

Electromagnetic tracking / Motion tracking / Occlusion-free / Rehabilitation

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Hai Lan, Pengrong Chen, Chengwen Zhang, Zhihua Zhou, Xinying Shan, Houde Dai, Tim C. Lueth. Electromagnetic Tracking for Rehabilitation Applications-A Survey. Intell. Rehabil. Eng., 2026, 1 (1) : 10005 DOI:10.70322/ire.2026.10005

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