Health-MR: A Mixed Reality-Based Patient Registration and Monitor Medical System DOI Creative Commons
Michael M. Yin, Sohom Sen, Yongjie Guan

и другие.

Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, Год журнала: 2024, Номер unknown, С. 2113 - 2119

Опубликована: Дек. 4, 2024

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

Язык: Английский

MiVitals– xed Reality Interface for Monitoring: A HoloLens based prototype for healthcare practices DOI Creative Commons
Syed Khairuzzaman Tanbeer, Edward R. Sykes

Computational and Structural Biotechnology Journal, Год журнала: 2024, Номер 24, С. 160 - 175

Опубликована: Март 1, 2024

In this paper, we introduce MiVitals—a Mixed Reality (MR) system designed for healthcare professionals to monitor patients in wards or clinics. We detail the design, development, and evaluation of MiVitals, which integrates real-time vital signs from a biosensor-equipped wearable, VitalitiTM. The generates holographic visualizations, allowing interact with medical charts information panels holographically. These visualizations display signs, trends, other significant physiological signals, early warning scores comprehensive manner. conducted User Interface/User Experience (UI/UX) study focusing on novel interfaces that intuitively present information. This approach brings traditional bedside life real environment through non-contact 3D images, supporting rapid decision-making, pattern anomaly detection, enhancing clinicians' performance wards. Additionally, findings usability involving doctors practitioners assess MiVitals' efficacy. System Usability Scale yielded score 84, indicating MiVitals has high usability.

Язык: Английский

Процитировано

5

Analysis of the bronchoalveolar lavage fluid microbial flora in COPD patients at different lung function during acute exacerbation DOI Creative Commons

Kawsar Bahetjan,

Yuxia Yuxia,

Lin ShiJun

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 16, 2025

There is a correlation between the dysbiosis of respiratory microbiota and occurrence, severity, frequency, mortality Chronic Obstructive Pulmonary Disease (COPD). However, it not unclear if there are differences in bronchoalveolar lavage fluid (BALF) among patients at differente lung function. In this study, BALF samples were collected from 70 COPD experiencing acute exacerbations (AECOPD). The divided into mild group (FEV1/pre ≥ 50; PFT I, n = 50) severe < II, 20) according to function: or frequent exacerbation (FE, 41) non-frequent (NFE, 29) their history. Microbiota analysis was conducted using mNGS bioinfromatic analysis. Compared I group, II exhibited significant decrease species diversity (Shannon index), as well reduction total count richness (Chao1, ACE indices). NFE demonstrated similar that FE group. Conversely, microbial comparable most abundant bacterial genera Streptococcus, Prevotella, Veillonella, Rod-shaped Bacillus, Rothia. Aspergillus dominant fungal genus AECOPD. Lymphocryptovirus prevalent virus AECOPD.Compared Corynebacterium's abundance significantly increased Furthermore, showed notable increase Streptococcus mitis relative Bubble plot revealed Moraxella, Fusobacterium, Haemophilus, Pseudomonas, Streptomyces, Klebsiella including typical Actinomyces, Gordonia. Bacteroides Prevotella's abundance. Spearman strong positive correlations certain communities. exists variation composition across groups AECOPD different Specifically, with airflow limitations exhibit diversity. Additionally, distinct taxa enriched characterized by varying levels limitation frequency. These observations offer vital insights pathogenesis AECOPD, suggesting potentially crucial role for its development. Such findings pave way identifying potential therapeutic targets intervention strategies, ultimately aiming improve treatment outcomes patients.

Язык: Английский

Процитировано

0

Analysis of blood microbiome dysbiosis in pulmonary sarcoidosis by decision tree model DOI Creative Commons
Yordan Hodzhev

Biotechnology & Biotechnological Equipment, Год журнала: 2023, Номер 37(1)

Опубликована: Март 10, 2023

Pulmonary sarcoidosis is a complex inflammatory disease characterized by granulomas in the lung tissue, leading to breathing difficulties and chest pain. Its etiology remains not fully understood, with factors such as allergies, autoimmune responses genetics playing role. This study explores potential of blood microbiome dysbiosis, defined an imbalance microbial ecosystem, missing piece puzzle understanding disease. Our objective was apply decision-tree supervised machine learning hierarchical model distinguish patterns dysbiosis samples from patients pulmonary compared healthy age-matched controls. Blood analysis, being individually-specific stable, offers unique perspective. Utilizing 16S rRNA gene amplicon sequencing, we analyzed composition non-normally distributed sparse data. Because rarity Bulgaria, studied relatively small patient group, n = 7. The findings were 21 Bioinformatics statistical analysis play pivotal role especially when discerning associations between taxonomic disorders sarcoidosis. By analyzing diversity, identified alterations individuals those sarcoidosis, which potentially may trigger Advanced techniques provided additional power that might be overlooked usual group statistics, confirming differentiation diversity within microbiome.

Язык: Английский

Процитировано

1

Health-MR: A Mixed Reality-Based Patient Registration and Monitor Medical System DOI Creative Commons
Michael M. Yin, Sohom Sen, Yongjie Guan

и другие.

Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, Год журнала: 2024, Номер unknown, С. 2113 - 2119

Опубликована: Дек. 4, 2024

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

Язык: Английский

Процитировано

0