An Analytical Model for Regular Respiratory Signal
文献类型：会议论文
| 作者 | Xin Li; Dengyu Qiao; Ye Li |
| 出版日期 | 2014 |
| 会议名称 | 36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) |
| 会议地点 | Chicago, IL |
| 英文摘要 | In disaster rescue, breathing motion detection is an important approach to searching survivors trapped under debris. Detection of breathing motion is realized by detecting the respiratory signal acquired by the sensing system. In this paper, modeling the regular respiratory signal is studied. Firstly, a preliminary model is built based on power of absolute value of cosine function. Then, this preliminary model is improved in terms of some practical considerations, such as the DC-component of the respiratory signal often is removed by signal processing, and a phase uncertainty occurs due to the data acquisition. Finally, an analytical harmonic-based random respiratory signal model is derived, which can be used as the signal model in the future research about breathing motion detection. |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5891]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Xin Li,Dengyu Qiao,Ye Li. An Analytical Model for Regular Respiratory Signal[C]. 见:36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC). Chicago, IL. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。