占空比
噪音(视频)
信号(编程语言)
算法
信噪比(成像)
计算机科学
探测器
探测理论
信号处理
语音识别
人工智能
工程类
电气工程
电信
雷达
电压
图像(数学)
程序设计语言
作者
Valentina Agostini,Marco Knaflitz
出处
期刊:IEEE Transactions on Biomedical Engineering
[Institute of Electrical and Electronics Engineers]
日期:2012-01-01
卷期号:59 (1): 219-225
被引量:65
标识
DOI:10.1109/tbme.2011.2170687
摘要
In many applications requiring the study of the surface myoelectric signal (SMES) acquired in dynamic conditions, it is essential to have a quantitative evaluation of the quality of the collected signals. When the activation pattern of a muscle has to be obtained by means of single- or double-threshold statistical detectors, the background noise level e noise of the signal is a necessary input parameter. Moreover, the detection strategy of double-threshold detectors may be properly tuned when the SNR and the duty cycle (DC) of the signal are known. The aim of this paper is to present an algorithm for the estimation of e noise , SNR, and DC of an SMES collected during cyclic movements. The algorithm is validated on synthetic signals with statistical properties similar to those of SMES, as well as on more than 100 real signals.
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