Comparison of Median Filter and Discrete Dyadic Wavelet Transform for Noise Cancellation in Electrocardiogram
文献类型：会议论文
| 作者 | Wan-hua Lin; Mico Yee-Man Wong; Li-na Pu; Yuan-ting Zhang |
| 出版日期 | 2010 |
| 会议名称 | 32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10) |
| 会议地点 | ARGENTINA |
| 英文摘要 | Development of noise cancellation algorithm is essential to facilitate accurate detection of electrocardiogram (ECG) in mobile health and wearable medical devices. In this study, we captured ECG from 20 subjects when they were at rest and during routine activities. The motion artifact in ECG was filtered using two non-linear filters: median filter and discrete dyadic wavelet transform. Signal-to-noise ratio (SNR) and computation time of the filters were determined. We found that median filter showed larger SNR (7.61 +/- 1.21 dB) than discrete dyadic wavelet transform did (5.35 +/- 1.34 dB). Conversely, discrete dyadic wavelet transform benefited to its short computation time. The algorithms of these non-linear filters should be further investigated to achieve both high SNR and fast computation in wearable and mobile monitoring systems. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2988]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2010 |
| 推荐引用方式 GB/T 7714 | Wan-hua Lin,Mico Yee-Man Wong,Li-na Pu,et al. Comparison of Median Filter and Discrete Dyadic Wavelet Transform for Noise Cancellation in Electrocardiogram[C]. 见:32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10). ARGENTINA. |
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。