Health-MR: A Mixed Reality-Based Patient Registration and Monitor Medical System

In medical procedures such as surgery and diagnosis, it is crucial to provide doctors and nurses with up-to-date patient information. In this paper, we propose Health-MR, a portable Mixed-Reality (MR) system that helps medical staff monitor patient conditions. Health-MR consists of three components: (1) Patient Identification Recognition using face detection, (2) Medical Cloud Database for patient information retrieval, and (3) Non-invasive Heart Rate Measurement via image processing and Fast Fourier Transform (FFT). Our evaluation demonstrates that Health-MR significantly reduces the time needed to query patient information and provides remote, accurate, and real-time heart rate monitoring.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3696214
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Health-MR: A Mixed Reality-Based Patient Registration and Monitor Medical System

Mingrui Yin, Jing Du, Xueyu Hou, Sohom Sen et al.
1 citations
Non-Invasive Vital Sign Monitoring
0.18
article

Health-MR: A Mixed Reality-Based Patient Registration and Monitor Medical System

Mingrui Yin, Jing Du, Xueyu Hou, Sohom Sen, Yongjie Guan, Tao Han
article en
1 citations

Abstract

In medical procedures such as surgery and diagnosis, it is crucial to provide doctors and nurses with up-to-date patient information. In this paper, we propose Health-MR, a portable Mixed-Reality (MR) system that helps medical staff monitor patient conditions. Health-MR consists of three components: (1) Patient Identification Recognition using face detection, (2) Medical Cloud Database for patient information retrieval, and (3) Non-invasive Heart Rate Measurement via image processing and Fast Fourier Transform (FFT). Our evaluation demonstrates that Health-MR significantly reduces the time needed to query patient information and provides remote, accurate, and real-time heart rate monitoring.

Rutgers, The State University of New Jersey (US), New Jersey Institute of Technology (US), University of Maine (US)
Openalex Percentile: Top 50%
Non-Invasive Vital Sign Monitoring
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.