Study On The Detection Mechanism And Feature Acquisition Of Muscle Spasticity For Stroke Patients

Pathological spasm of the lower extremities is a type of damage caused by neurons and which shows symptoms of muscular tetanic contractions,claudication,and cramps in the clinic.During the rehabilitation,muscle pathological spasm could be often together with stroke patients.Serious impacts on the recovery of motor function come into being causing by lower limb muscle spasm.Nowadays,rehabilitation robot plays one very crucial helper in restoring the lower extremity motor function of stroke patients.The clinical application of rehabilitation robots act one important role in the recovery of patients’ lower extremity motor function to some extent,which made highly improvement to the recovery effect of patients from passive assisted walking training to lower extremity motor function.However,secondary injuries or even medical accidents could be happened during the rehabilitation training if robots ignore the occurrence of muscle spasms in the lower limbs.In this thesis,a sensor based on muscle tension information is designed which provide an assessed means for objective quantification of clinical pathology.The sensor obtains the critical information of the hemorrhoids occurrence by external excitation and which reveals the intrinsic relationship between muscular tension and the characteristics of fistula.Firstly,the characteristics of the occurrence of spasticity were analyzed,and the medical clinical evaluation method for the pathological convulsions of lower extremity muscles was summarized,when the lower extremity muscles were exercised.Secondly,according to the theory of measurable muscle tension in rehabilitation clinical medicine,a method for detecting phlegm-mechanism based on muscle tension information is provided.The pressure sensor is subjected to changes with external muscle tension,when it is stimulated.And amplitudefrequency alternations map to pathological features by the signal amplitude jumps,frequency changes.After the detected excitation signal is processed by the host module,it is analyzed as three features of the pathological defect,and the characteristic information is displayed.Finally,by designing a complete control system and method,the characteristics of the cockroaches are more easily obtained and expressed.A new scale of cockroaches is developed based on the improved Ashworth scale,which is validated through static and dynamic excitation and exoskeleton-type rehabilitation robot incentive experiments.The experimental data processing results prove that the design principle and implementation method of the sensor are feasible.The sensor designed in this paper has high accuracy and stability for the evaluation of the crucible.At present,there is few study on extracting the characteristic information from the perspective of muscle tension information acquisition.The sensor designed in this thesis improves the accuracy and stability of the objective quantitative measurement.At the same time,the quantitative assessment of deuterium can also be used to describe the deafness level of the patient with objectivity and versatility.This thesis provides an effective means for objective quantification and assessment;combined with the exoskeleton type recovery robot external stimulation of lower extremity muscles which further reveals the relationships between the spasticity information and the external motivation of the lower extremity muscle movement,the information of feedback channel could be used for clinical applications such as online assessment and prevention in rehabilitation training.