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)
Attention-deficit/hyperactivity disorder (ADHD) is a common mental disorder in children. Unfortunately, reliable means of measuring attention and impulsivity to help with diagnoses are scarce. The test of variables of attention (TOVA) is a computer-administered continuous performance test measuring attention and impulsivity, designed to avoid confounding(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)
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