Tzyh-Chyang Chang

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In this study, an MRI-based classification framework was proposed to distinguish the patients with AD and MCI from normal participants by using multiple features and different classifiers. First, we extracted features (volume and shape) from MRI data by using a series of image processing steps. Subsequently, we applied principal component analysis (PCA) to(More)
Cerebral Palsy is mean damage to the brain, causing non-progressive brain injury, such as hemiplegia, limbs palsy, epilepsy, involuntary movements, poor coordination. This paper proposes a movement evaluation and classification system, in view Cerebral Palsy children hand movement smoothness evaluation. In addition, the application of the movement(More)
Introduction: The purpose of this study was to develop a computational method to identify potential predictors for quality of life (QOL) after post stroke rehabilitation. Methods: Five classifiers were trained by five personal factors and nine functional outcome measures by 10-fold cross-validation. The classifier with the highest cross-validated accuracy(More)
Telemedicine are the application and development of the telecommunication networks. In this study, we try to develop the telemedicine system and to discuss the network application of this system in psychiatric counseling. The preliminary result of this study is that the telemedicine system is more effective than traditional consultation and it can provide(More)
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