Biomedical subjects

Tianshuang Qiu

Publications and source records attributed to Tianshuang Qiu.

4 recordsLinked to original sources

PubMed2006

[The development of algorithms for adaptive latency change detection of evoked potentials under alpha-stable noise conditions].

The latency change detection of EPs is of special interest in many clinical applications such as diagnosis of the injury and pathological changes in the nervous system. This paper reviews the adaptive latency change detection approaches under stable noise conditions, based on the fractional lower order statistics. It also evaluates and compares the performances of the presented algorithms.

Algorithms↗

PubMed2005

[Progress in automatic detection of epilepsy based on EEG analysis].

Automatic detection of epileptic events is of significance in clinical application. It is helpful to reduce the electroencephalogram analysts' workload. This paper summarizes and analyzes the detection of epileptic events by traditional and especially advanced methods, including nonlinear filtering, template matching, mimetic, wavelet transform and artificial neural network.

Electroencephalography↗

PubMed2004

[The algorithms and development for the extraction of evoked potentials].

The extraction of evoked potentials is a main subject in the area of brain signal processing. In recent years, the single-trial extraction of evoked potentials has been focused on by many studies. In this paper, the approaches based on the wavelet transform, the neural network, the high order acumulants and the independent component analysis are briefly reviewed.

Algorithms↗

PubMed2004

[Knowledge discovery in database and its application in clinical diagnosis].

Nowadays the tremendous amount of data has far exceeded our human ability for comprehension, and this has been particularly true for the medical database. However, traditional statistical techniques are no longer adequate for analyzing this vast collection of data. Knowledge discovery in database and data mining play an important role in analyzing data and uncovering important data patterns. This paper briefly presents the concepts of knowledge discovery in database and data mining, then describes the rough set theory, and gives some examples based on rough set.

Artificial Intelligence↗