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Epilepsy, a brain disorder afflicts nearly 1% of the world's population, is characterized by the occurrence of spontaneous seizures. For most epilepsy patients, the drugs are either not effective or produce severe side-effects. Seizure forecasting systems have the potential to help patients with epilepsy lead more normal lives. Recently multi-center clinical studies showed evidence of premonitory...
Decision tree and random forest algorithm are introduced to the field of gesture recognition, and the gestures are classified by the fusion information of sEMG and inertial sensor. Experiments show that gesture recognition based on multi fusion information is more accurate than only using surface EMG or inertial signals. Taking the common 12 kinds of gestures as an example, the average recognition...
An automated gait pattern discrimination method based on Hidden Markov Model (HMM) was proposed in this paper. According to human gait process, the acceleration signals of human lower limb were divided into different segments and the gait features was extracted by wavelet transform. Then, each state of gait was matched with HMM state and the HMM of each gait mode was trained according to the sample...
Linear discriminant analysis (LDA) is a popular feature extraction method that has aroused considerable interests in computer vision and pattern recognition fields. The projection vectors of LDA is usually achieved by maximizing the between-class scatter and simultaneously minimizing the within-class scatter of the data set. However, in practice, there is usually a lack of sufficient labeled data,...
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