| Diabetic foot is one of the most serious and destructive complications of diabetes,and is an important cause of amputation and death of patients.The goal of dealing with diabetic feet is to prevent the occurrence of foot ulcers and avoid amputation.The key to prevention is to identify patients with high risk factors for diabetic feet as early as possible,and to intervene and rationally treat them.However,the clinical evaluation of diabetic foot ulcers is subjective and limited by many factors.There is a great need for an alternative analysis method that can provide quantitative indicators and repeatable results for a long time.The wearable intelligent monitoring system proposed in this paper can solve this problem by providing long-term real-time monitoring and gait recognition for diabetic patients.At present,the following problems exist in the study of diabetic foot syndrome monitoring based on the smart shoe system: 1.Most of the plantar pressure monitoring devices in the existing research use thin-film or metal-type pressure sensors,of which the thin-film sensor is resistant to bending and has poor resistance to pressure;metal sensors are harder and not soft enough,resulting in poor wearing comfort;2.Lack of dynamic foot pressure data sets based on integrated wearable monitoring devices,In particular,there is a lack of data sets for studies related to diabetic foot syndrome;3.In the gait study on diabetic foot syndrome,most researchers only conduct simple clinical statistical analysis of the data,and lack the study of artificial gait based on the space-time characteristics of the plantar.In response to the above problems,this article mainly conducted the following research:1.The carbon black is used as the conductive filler to fill the silicone rubber as the sensitive unit of the sensor.The polyimide is used as the substrate and the copper is used to make the strip electrode.A low-cost,fully flexible,simple structure,wearable and designed Flexible pressure sensor with strong comprehensive performance.Through a series of static and dynamic tests on the sensor,the range of the sensor is 0-760 k Pa,the response time is 90 ms,and the sensitivity can reach 0.0107N-1 in the highly sensitive area of 0-40 N.The results show that the sensor has the characteristics of wide measurement range,fast response speed,high sensitivity and high stability,which can meet the requirements of long-term use of plantar pressure monitoring under daily activities.2.Determine the placement of the flexible pressure sensor according to the distribution of the human plantar pressure;then according to the signal representation of the sensor,design an efficient,reliable,and wireless transmission data collection system,and match the system with the corresponding visualization Software;integrated wearable plantar pressure monitoring system with real-time signal acquisition,processing and transmission,display and storage.Realize scientific and effective monitoring of the wearer’s gait status,and can give warning to abnormal gait.3.Propose a prediction model of diabetic foot syndrome based on dynamic plantar temporal and spatial information.Based on the self-developed wearable plantar pressure monitoring device,the dynamic plantar pressure data of 15 different subjects in the corridor and staircase scenes were collected;the characteristics of the total plantar pressure curve were double-peaked and divided Gait cycle samples;and extract multiple types of plantar space-time features,such as pressure peaks,pressure time integrals,and asymmetry coefficients;select their optimal feature subsets and establish a variety of classification models under different subject gait Each of these models can achieve 90% accuracy and the highest recognition rate is 98%.It proves the great potential of this model in assisting diagnosis and early warning of diabetic foot ulcers. |
