研究方向：穿戴式与普遍系统，移动保健，生物医学信号处理，深入嵌入式系统。
Research Interest: Wearable and ubiquitous systems, m-Health, biomedical signal processing, and deeply embedded systems.
主要从事生物医学信号处理、医学图像处理、医疗仪器开发、模式识别等方面的研究工作。
Her research interests include biomedical signal processing, medical image processing, medical instrument developing and pattern recognition.
诱发电位（EP）和事件相关电位（ERP）的单次提取是生物医学信号处理领域颇受关注的一个研究问题。
Single-trial estimation of evoked potentials(EP)and event-related potentials(ERP)is the interesting field in biomedical signal processing.
作为数字信号处理领域的一个重要分支，生物医学信号处理理论与技术的研究一直受到国内外科技工作者的高度重视。
As an important branch of digital signal processing, the theory and technology of biomedical signal processing have attracted more and more attention of researchers.
该方法在语音信号处理、无线通讯、噪声消除、生物医学信号处理、地震信号处理以及图像处理等方面得到了广泛的应用。
It is widely applied to audio signal processing, communication signal processing, noise decreasing, medical signal processing, earthquake signal processing and image signal processing etc.
介绍一种基于IBM PC微机或其兼容机为核心的通用生物医学信号采集与处理系统。
This paper introduces a biological medical signal data acquisition and process system in common use based on IBM-PC microcomputer for the core.
该生物医学信号采集处理系统由硬件与软件两部分组成。
The acquisition and processing system of biomedical signals is composed of two parts: hardware and software.
当前，心电信号的处理仍是生物医学工程研究的重要对象之一。
Currently the processing of Electorcardiosignal is still an important research object in Biomedical Engineering.
在对生物医学信号时间序列进行复杂度分析时，往往需要首先对原始信号进行粗粒化预处理。
It is often to take a coarse graining preprocessing before a complexity analysis is made for biomedical signal time series.
隐马尔可夫模型正在被愈来愈多地引入到生物医学信号的处理中。
Hidden Markov Model is now being applied increasingly in biomedical signal processing.
对心电信号进行分析处理，以及时准确获取病人生理活动可靠的内部特征信息，是生物医学研究者所面临的重要问题。
For getting accurate intrinsic characteristic message of physiology activity of patient in time, ECG signal analysis and processing becomes an important problem facing medicinal researchers.
盲信道辨识也可应用于信号处理的其他领域，如地震波分析、雷达波分析、图象盲恢复、生物医学信号分析等，因此具有很高的实用价值。
Therefore, it is more efficient and more applicable to advanced communication systems. Blind channel identification also has applications in image restoration, geoscience, etc.
要处理强噪声生物医学信号，要根据其实际情况，选择适当的处理方法。
We will be according to the actual situation and select the appropriate approach to deal with biomedical signals in strong noise.
要处理强噪声生物医学信号，要根据其实际情况，选择适当的处理方法。
We will be according to the actual situation and select the appropriate approach to deal with biomedical signals in strong noise.
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