Fan-Sin Chen
ABSTRACT
The slight tremor of the human body is an early sign and symptom of many diseases. If it can be found at the beginning of the tremor, it will be beneficial for subsequent medical treatment. In this paper, we use deep learning-based motion magnification to analyze subtle changes in the image that cannot be observed by the human eye and to filter and amplify the frequencies of different trembling video for achieving prediction for different types of tremors. It can effectively reduce the medical evaluation time of tremble detection. The results of a video containing human respiration and tremor indicate that the proposed method can discriminate different tremors.
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Index Terms
- Pre-detection and Type Discrimination of Human Trembling Diseases
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