- 期刊
TIME-FREQUENCY ANALYSIS FOR CERVICAL MYELOPATHY AND CERVICAL RADICULOPATHY IDENTIFICATION
摘要
Cervical myelopathy and radiculopathy analysis plays an important role in clinics. These diseases affect the balance of limb. In this manuscript, we use several signal processing methods and the generalized spectrogram to determine a variety of time and frequency domain features of postural steadiness between myelopathy and radiculopathy under eyes-open or eyes-closed cases. These features are utilized to identify myelopathy and radiculopathy cases. We design statistical methods which combine the concepts of the z-score with the k-value to determine the importance of each feature and used rule-based methods together with the K-Nearest Neighbor (KNN) algorithm for classification. Simulations show that, with the proposed algorithm, the myelopathy case and the radiculopathy case can be precisely identified, which is helpful for clinics.
延伸閱讀
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