A Non-invasive Respiration Rate Monitoring method using 915 MHz frequency band

被引:0
作者
Wang, Yanli [1 ]
Ke, Wei [1 ,2 ]
Lu, Jun [1 ]
Zuo, Haoran [1 ]
Chen, Mengling [1 ]
Jin, Jie [1 ]
机构
[1] Nanjing Normal Univ, Jiangsu Key Lab Optoelect Technol, Sch Phys Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
[2] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
来源
2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018) | 2018年
关键词
received signal strength; wireless sensor networks; respiratory rate monitoring;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Breathing frequency not only indicates the progression of the disease but also an important vital sign predicting a rapid decline in health. For this purpose, non contact monitoring systems are increasingly prevalent to clearly enhance patient comfort. As a low cost solution for noninvasive respiratory monitoring, respiratory rate measurement based on inexpensive transceiver based received signal strength (RSS) is widely used. In this research, respiration rate monitoring method based on ready-made pair of transceivers has been proposed. We propose a method to estimate and improve accuracy and evaluate its effect. Furthermore, respiration monitoring and frequency estimation are performed in the frequency band of 915 MHz. Experimental results show reliable detection and high frequency estimation accuracy.
引用
收藏
页数:6
相关论文
共 8 条
  • [1] Respiration Rate Monitoring Methods: A Review
    AL-Khalidi, F. Q.
    Saatchi, R.
    Burke, D.
    Elphick, H.
    Tan, S.
    [J]. PEDIATRIC PULMONOLOGY, 2011, 46 (06) : 523 - 529
  • [2] [Anonymous], 1977, DISCRETE TIME SIGNAL
  • [3] THE INDOOR RADIO PROPAGATION CHANNEL
    HASHEMI, H
    [J]. PROCEEDINGS OF THE IEEE, 1993, 81 (07) : 943 - 968
  • [4] Molisch A. F., 2010, Wireless Communications
  • [5] Murray J.F., 1986, The normal lung: the basis for diagnosis and treatment of pulmonary disease
  • [6] Patwari N, 2012, IEEE T MOBILE COMPUT, V13, P1
  • [7] RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms
    Patwari, Neal
    Wilson, Joey
    [J]. PROCEEDINGS OF THE IEEE, 2010, 98 (11) : 1961 - 1973
  • [8] Sebel P., 1985, Respiration, the breath of life