|
|
|
| A Personal Wireless System for Cardiovascular Monitoring |
| YANG Pan1, PAN Qing1, LIN Chang-yu1, ZHOU Jia1, FU Xiao1, LI Li2, GONG Shi-jin2, YAN Jing2, NING Gang-min1 |
1. Department of Biomedical Engineering, Zhejiang University, Zhejiang Province Hangzhou 310003, China;
2. Zhejiang Hospital, Zhejiang Province Hangzhou 310003, China |
|
|
|
|
Abstract Chronic diseases, especially cardiovascular diseases, have become one of the leading health problems in China. For preventing cardiovascular diseases and improving treatment, it is necessary to regularly monitor vascular status related physiological signals at home. We designed a home-used wireless system for daily monitoring cardiovascular condition. Vital physiological signs are obtained by a chair-based measurement apparatus and then transmitted by bluetooth. Finally, these data are delivered to a remote healthcare server through internet. General practitioners can analyze the related indices and make an electronic report to users, who can check health status and understand cardiovascular risks.
|
|
Received: 30 January 2018
|
|
|
| Fund:National Natural Science Foundation of China; grant number: 30970760; grant sponsor: Science & Technology Department of Zhejiang Province; grant number: 2006C13018 |
|
Corresponding Authors:
NING Gang-min. E-mail: gmning@zju.edu.cn
|
|
|
|
[1] Fu DB, Fu H, Patrick M, et al.Implementation and quantitative evaluation of chronic disease self-management programme in Shanghai, China: randomized controlled trial[J]. Bulletin of the World Health Organization, 2003, 8(1):174-182.
[2] National Center for Cardiovascular Diseases. Report on cardiovascular diseases in China[M]. Peking, China: Encylopedia of China Publishing House, 2010.
[3] Zheng HR, Nugent C, McCullagh P, et al. Smart self management: assistive technology to support people with chronic disease[J]. Journal of Telemedicine and Telecare, 2010, 16: 224-227. |
| [1] |
Li Baoming, Hu Jiarui, Xu Haijun, Wang Cong, Jiang Yanni, Zhang Zhihong, Xu Jun. Deep Cascaded Network for Automated Detection of Cancer MetastasisRegion from Whole Slide Image of Breast Lymph Node[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 257-264. |
| [2] |
Xu Jie, Wang Xunheng, Li Lihua. Investigating Brain Networks for ADHD Children Based on Phase Synchronization of Resting State fMRI[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 265-270. |
|
|
|
|
