MobiCardio: A Clinical-grade Mobile Health System for Cardiovascular Disease Management

被引：0

作者：

Li, Peiyao ^{[1
]}

Yang, Zhicheng ^{[2
]}

Yana, Wei ^{[3
]}

Yana, Muyang ^{[3
]}

He, Maoqing ^{[4
]}

Yuan, Qian ^{[4
]}

Lan, Ke ^{[4
]}

Zheng, Jiewen ^{[4
]}

Liu, Tongbo ^{[5
]}

Cao, Desen ^{[1
]}

Zhang, Zhengbo ^{[1
]}

机构：

[1] Chinese Peoples Liberat Army Gen Hosp, Dept Biomed Engn, Beijing, Peoples R China

[2] Univ Calif Davis, Dept Comp Sci, Davis, CA USA

[3] Chinese Peoples Liberat Army Gen Hosp, Dept Hyperbar Oxygen Therapy, Beijing, Peoples R China

[4] Beijing SensEcho Sci & Technol Co Ltd, Beijing, Peoples R China

[5] Chinese Peoples Liberat Army Gen Hosp, Dept Informat Technol, Beijing, Peoples R China

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI) | 2019年

关键词：

Mobile health; Cardiovascular disease; Sleep analytics; Machine learning; SLEEP;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cardiovascular disease (CVD) is the leading death factor in China. Mobile Health (mHealth) has been proven as a promising solution for CVD management. However, mHealth for CVD management in Chinese healthcare system has not been widely adopted. In this paper, we introduce our holistic CVD management mHealth system, MobiCardio, which enables the efficient management of CVD patients specialized for clinical scenarios, by the integration of multi-sensor wearable technologies, machine-learning-based sleep analytics, and electronic health records (EHRs) information. Several ongoing featured clinical validation projects are described.

引用

页码：441 / 446

页数：6

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