MR Device-Based Remote Medical Support System With Object Recognition

The field of digital healthcare is rapidly evolving due to advancements in artificial intelligence technologies, particularly deep learning. This study aims to explore new possibilities in telemedicine by applying Mixed Reality (MR) technology to emergency medical situations. The primary goal of this research is to develop an MR device-based Remote Medical Support System that utilizes MR devices and high-speed wireless communication to transmit on-site conditions to medical control rooms, enabling emergency responders to provide treatment under remote guidance. The system leverages Microsoft's HoloLens 2 to capture and transmit patient biometric information and surrounding environments, utilizing deep learning algorithms for human skeleton recognition and object alignment. The generated 3D avatars and content are then used in remote medical consultations. This paper highlights the potential medical applications of HoloLens 2, a cutting-edge consumer electronics device, demonstrating how this system can provide innovative medical solutions through consumer technology and open up new possibilities in the healthcare field.

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Publication Details

Journal
IEEE Consumer Electronics Magazine
Published
2025-02-20
DOI
https://doi.org/10.1109/mce.2025.3543762
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

MR Device-Based Remote Medical Support System With Object Recognition

WonJong Kim, Dohun Kim
IEEE Consumer Electronics Magazine
Brain Tumor Detection and Classification
article

MR Device-Based Remote Medical Support System With Object Recognition

WonJong Kim, Dohun Kim
article en

Abstract

The field of digital healthcare is rapidly evolving due to advancements in artificial intelligence technologies, particularly deep learning. This study aims to explore new possibilities in telemedicine by applying Mixed Reality (MR) technology to emergency medical situations. The primary goal of this research is to develop an MR device-based Remote Medical Support System that utilizes MR devices and high-speed wireless communication to transmit on-site conditions to medical control rooms, enabling emergency responders to provide treatment under remote guidance. The system leverages Microsoft's HoloLens 2 to capture and transmit patient biometric information and surrounding environments, utilizing deep learning algorithms for human skeleton recognition and object alignment. The generated 3D avatars and content are then used in remote medical consultations. This paper highlights the potential medical applications of HoloLens 2, a cutting-edge consumer electronics device, demonstrating how this system can provide innovative medical solutions through consumer technology and open up new possibilities in the healthcare field.

IEEE Consumer Electronics MagazineVol. 15(2)
Electronics and Telecommunications Research Institute (KR)
Openalex Percentile: Top 96%
Brain Tumor Detection and Classification
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MR Device-Based Remote Medical Support System With Object Recognition — WonJong Kim, Dohun Kim · IEEE Consumer Electronics Magazine (2025) | TGRS Research Map | TGRS