ABSTRACT
Motion segment and extraction from continuous signals is the premise of surface electromyography (sEMG) analysis. For the problem that sEMG energy threshold required repeated manual testing to set, this the paper established a this mathematical model of continuous actions based on Gaussian sEMG energy curve, in which the energy threshold was set according to the distribution of Gaussian signal section, and differentiated the action signals from no-action signals combined with energy comparison method. The experiment results showed the method can achieve continuous repetitive action segmentation, and compared with manual segmentation of the same signal, has a higher degree of coincidence.
Subject(s)
Humans , Algorithms , Electromyography , Motion , Pattern Recognition, Automated , Signal Processing, Computer-AssistedABSTRACT
OBJECTIVE To investigate the clinical pathologic features and therapeutic tools of pulmonary cryptococcosis.METHODS The clinical data about 16 cases of pulmonary cryptococcosis which were diagnosed by histopathologic examinations were reviewed.The survey data recorded over a 15-year period,from 1982 to 2007,were summarized.We analyzed their clinical situations,radiographic manifestations,final diagnosis and therapeutic tools.RESULTS The majority of the patients were middle-aged males.The health condition of the most of the patients was good before infection.six months to five years after surgery and antifungal theragy,no relapse,dissemination and death were observed.CONCLUSIONS The majority of primary pulmonary cryptococcosis patients have not underlying diseases,and their radiography manifestations show single or multiple nodular shadows,tumor shadows and infiltrative shadows.The limited pathological change can be excised and applied with the antifungal drugs.Fluconazole is the first-choice drug for curing pulmonary cryptococcosis.