| Summary: | 碩士 === 國立臺灣大學 === 應用力學研究所 === 105 === Duchenne muscular dystrophy (DMD) is a rare genetic disease which weakens the patients’ limbs by replacing the muscle with fibrosis and fat infiltration progressively. The change is more evident in the lower limbs. Currently, classifying of the patient’s condition are usually carried out through physical examination, results in a subjective diagnoses. In this research, we introduce medical image by ultrasound to assess and classify patients’ condition from a more objective point of view to find standard parameters to discriminate walker and non-walker stage in order to active the warning mechanism to the patients, patients’family and the society.
This research focuses on analyzing lower limbs, which include Gastrocnemius, Tibialis Anterior, and Rectus Femoris, and calculates the instantaneous frequency of each disease stage by using Hilbert-Huang Transform. By observing the trend of instantaneous frequency, the result reveals that the instantaneous frequency among these three muscle groups obviously attenuates as severity of the disease stage increases. Among three muscle groups, Gastrocnemius is responded to the biggest area under cure (AUC) of receiver operating characteristic curve, which is 0.9717 , so changes in Gastrocnemius is the most obvious, and has the best assessment of lower limbs function. Therefore, the instantaneous frequency of Gastrocnemius, 7.0865 MHz is taken as the standard parameter of the ambulation loss . Finally, the result from Ensemble Empirical Mode Decomposition (EEMD) is roughly worse than the result from Empirical Mode Decomposition (EMD). In conclusion, the first intrinsic mode functions result of Gastrocnemius from Empirical Mode Decomposition is the best assessment tool.
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