论文:2018,Vol:36,Issue(3):571-576
引用本文:
王海鹏, 张思美, 周文强, 龚岩, 李泽. 移动协同式生理健康监测和共享技术研究[J]. 西北工业大学学报
Wang Haipeng, Zhang Simei, Zhou Wenqiang, Gong Yan, Li Ze. Research on Collaborative Physiological Health Monitoring and Sharing Technology in Mobile Application[J]. Northwestern polytechnical university

移动协同式生理健康监测和共享技术研究
王海鹏1, 张思美1, 周文强2, 龚岩2, 李泽2
1. 西北工业大学 计算机学院, 陕西 西安 710072;
2. 西北工业大学 软件与微电子学院, 陕西 西安 710072
摘要:
自然便捷的生理健康监测和健康信息共享对有效预防疾病并提升人类健康水平具有重要研究价值。将生理健康监测与移动应用相结合,研究移动协同式生理健康监测和共享技术。以心率监测作为健康监测的重点,研究基于可见光的非接触式心率监测技术,并构建面向群体用户的生理体征共享网。最后,结合移动终端和社交网络平台,实现自然便捷的生理健康监测和面向网络关系辅助的群体健康信息共享。
关键词:    健康监测    心率监测    生理体征网络    移动应用   
Research on Collaborative Physiological Health Monitoring and Sharing Technology in Mobile Application
Wang Haipeng1, Zhang Simei1, Zhou Wenqiang2, Gong Yan2, Li Ze2
1. School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China;
2. School of Software and Microelectronics, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
Natural and convenient physiological health monitoring and the technology of health information sharing has important practical value in preventing the occurrence of disease and enhancing people's health level, this paper combines physiological health monitoring technology and mobile application technology, studying the mobile application of collaborative physiological health monitoring and sharing technology. Heart rate monitoring as a breakthrough point of health monitoring, this paper studies non-contact heart rate monitoring technology based on visible light and constructs the physiological signs network for group users. Finally, combined with mobile terminals and social networking platforms, the paper achieves natural and convenient physiological health monitoring and community health information sharing for network relationship support.
Key words:    health monitoring    heart rate monitoring    physiological signs network    mobile applications   
收稿日期: 2017-04-02     修回日期:
DOI:
通讯作者:     Email:
作者简介: 王海鹏(1975-),西北工业大学副教授、硕士生导师,主要从事机器学习和新型人机交互研究。
相关功能
PDF(1409KB) Free
打印本文
把本文推荐给朋友
作者相关文章
王海鹏  在本刊中的所有文章
张思美  在本刊中的所有文章
周文强  在本刊中的所有文章
龚岩  在本刊中的所有文章
李泽  在本刊中的所有文章

参考文献:
[1] Han T, Xiao X, Shi L, et al. Balancing Accuracy and Fun:Designing Camera Based Mobile Games for Implicit Heart Rate Monitoring[C]//Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015:847-856
[2] Chiu Y C, Wang F K, Chou Y R, et al. Wearable Doppler Radar Health Monitor with Gesture Control[C]//Microwave Conference(APMC), 2014:944-946
[3] Sun Y, Thakor N. Photoplethysmography Revisited:from Contact to Noncontact, from Point to Imaging[J]. IEEE Trans on Biomedical Engineering, 2016, 63(3):463-477
[4] Jayadevappa B M, Holi M S. An Estimation Technique Using FFT for Heart Rate Derived from PPG Signal[J]. Global Journal of Research in Engineering, 2015, 15(7):44-51
[5] Fan X, Wang J. Bayesheart:a Probabilistic Approach for Robust, Low-Latency Heart Rate Monitoring on Camera Phones[C]//Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015:405-416
[6] Petrushin V A. Hidden Markov Models:Fundamentals and Applications[C]//Online Symposium for Electronics Engineer, 2000
[7] Comon Pierre, Christian Jutten. Handbook of Blind Source Separation:Independent Component Analysis and Applications[M]. New York:Academic, 2010:1-65
[8] Naik G R, Kumar D K. An Overview of Independent Component Analysis and Its Applications[J]. Informatica, 2011, 35(1):63-81
[9] Benesty J, Chen J, Huang Y, et al. Noise Reduction in Speech Processing[M]. Springer Berlin Heidelberg, 2009
[10] Tichavsky P, Koldovsky Z, Oja E. Performance Analysis of the Fastica Algorithm and Crame/Spl Acute/R-Rao Bounds for Linear Independent Component Analysis[J]. IEEE Trans on Signal Processing, 2006, 54(4):1189-1203