Research On Scoliosis Assisted Diagnosis Technology Based On SEMG

Adolescent idiopathic scoliosis(AIS)is the most common three-dimensional idiopathic spinal deformity,which seriously affects the physical and mental health of adolescent patients.At present,the diagnosis strategy of AIS is early detection,early diagnosis,and early intervention to avoid progressive changes in lateral curvature.Due to the high prevalence of scoliosis among adolescents,clinicians need a fast,safe,accurate and non-invasive scoliosis assisted diagnosis technology to effectively evaluate the spinal health of adolescents.This paper uses the surface electromyography(s EMG)feature information of the paraspinal muscles on the left and right sides of the human spine to design and produce a set of scoliosis assisted diagnosis system to evaluate the spinal health of adolescents.First,this article is based on the clinical mechanism of scoliosis with bilateral paraspinal asymmetry and abnormal spinal curvature.a multi-parameter signal acquisition platform was designed and built.The platform can realize multi-channel s EMG acquisition and spine posture information acquisition.Designed the computer software platform based on Lab VIEW,including basic functions,EMG analysis functions and angle measurement functions.Basic functions enable administrator login,user information management,and data transmission.EMG analysis functions implement signal preprocessing,feature parameter calculation,and scoliosis type identification.Angle measurement functions enable spine angle parameter calculation and 3D view display.Secondly,the s EMG characteristic parameters of the paraspinal muscle were studied.Through the analysis methods in time domain and frequency domain,the feature information of s EMG was extracted,including Mean Absolute Value(MAV),Variance(VAR),Root Mean Square(RMS),and average power frequency.(Mean Power Frequency,MFP)and Medium Frequency(MF).The results show that the s EMG MAV ratio,RMS ratio,and VAR ratio of the paraspinal muscles symmetrically located on both sides of the spine can be used as effective feature parameters for scoliosis pattern recognition.By designing the Fisher linear classifier,the left,right,and normal postures of the spine can be distinguished,and the recognition accuracy is more than 86%.Finally,the performance test and function verification of the entire system are completed to ensure the effectiveness of the system design scheme.The system was used to identify the balance of paraspinal muscles on both sides of the spine,and a good experimental classification result was obtained,which verified the feasibility of this system in the auxiliary diagnosis of scoliosis.This subject not only has certain application value in the diagnosis of adolescent idiopathic scoliosis,but also plays an important role in exploring the etiology and effective treatment of scoliosis.