Study On Blood Pressure Fluctuation Characteristics Of Hemiplegia Patients In Rehabilitation Training Based On PPG

In the rehabilitation exercise of patients with total paralysis and partial hemiplegia,standing training and lower limb rehabilitation training are important training items.Early standing training and lower limb rehabilitation training are helpful to the recovery of walking ability and balance ability of patients in the future.Standing training generally adopts electric standing bed training to help patients overcome the negative effects of a long time in bed.Lower limb rehabilitation training is generally connected with standing training,and the principle of neuroplasticity is used to help patients find walking sensation and restore motor function.At present,monitoring the cardiovascular status of exercisers in both types of training relies on the therapist’s empirical judgment and intermittent blood pressure measurements,with limited and subjective information.There are two hidden dangers in this monitoring mode.One is that therapists may delay in finding abnormal conditions in exercisers,and they may miss the optimal time for rescue.Second,there is the possibility of errors in the subjective judgment of therapists,which may lead to the occurrence of exercise accidents.According to the above mentioned problem,this paper design a set of photoelectric volume pulse wave(PPG)signals based on noninvasive continuous monitoring system,used in the stand and lower limb rehabilitation exercise training,real-time monitoring blood pressure fluctuation characteristics of exercisers and heart rate changes,judgment of auxiliary therapist,prevent the happening of the cardiovascular accident.The research content of this paper is mainly divided into three parts:The first part is to design a system to collect PPG signals and calculate blood pressure in real time.Considering the actual scene,the design of the system adopts the wireless transmission wearable device and the receiving mode of PC upper computer.The relationship between PPG signal and blood pressure was analyzed by the algorithm,and the individual calibration model was established by partial least square regression method.A total of 400 data fragments were collected from 15 volunteers to verify the feasibility of the algorithm.The second part is the research in the use of electric standing bed stand training,position change to the impact of exercisers cardiovascular system,using the PPG signal real-time computing systems,blood pressure measurement took 10 volunteers during the stay in hospital for standing training signal data,observation stand exercisers during the training period the change of blood pressure and heart rate fluctuations.The third part is to study the effect of walking upright on the cardiovascular system of the exercisers when using the lower limb rehabilitation robot.The PPG signal real-time blood pressure calculation system was used to measure the signal data of 10 volunteers during the exercise of rehabilitation robot,and the fluctuation of blood pressure,the change of heart rate and the change of PPG waveform were observed under the exercise state.The experimental results show that the blood pressure model calibrated by individuals can be used to continuously monitor the blood pressure fluctuation during training,and the average measurement error is within ±5mm Hg.In the standing bed training,the system developed in this paper has high accuracy,which can provide real-time simulation values of dynamic blood pressure fluctuation and heart rate.The results show that the systolic blood pressure of exercisers generally decreases after the change of body position.In the lower limb rehabilitation exercise,this paper analyzed the changes of PPG signal characteristics during exercise,which provided preliminary experience for the real-time monitoring of exercise blood pressure and provided suggestions for the development of follow-up research.