Abstract
Background: Most doctors are used to locate the vascular stenosis position first then clinically estimate vascular stenosis by the CAG images instead of using mouse, keyboard and computer during the preoperative diagnosis. Therefore, it is necessary to have an effective, intuitive and natural method to replace the existing preoperative diagnosis mode for diagnosing the coronary heart disease. Keywords: Augmented reality, coronary heart disease, gesture interaction, gesture recognition, semi-continuous hidden markov model, wavelet transform.
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