ABSTRACT
Objective To discuss the prenatal MRI features and the fetal outcomes of meconium peritonitis (MP).Methods The clinical data of 23 cases with MP were collected.The prenatal MRI features and fetal outcomes were analyzed retrospectively.Results Prenatal MRI features included meconium peritonitis pseudo-cyst (9/23,39.1%),fetal ascites (23/23,100.0%),bowel dilatation (9/23,39.1%), meconium leakage (3/23,13.0%),scrotal effusion (2/23,8.7%)and polyhydramnios (2/23,8.7%).Of the 23 fetuses,2 were induced and 2 1 were delivered.In 2 1 neonates,7 cases received surgical treatment,1 3 cases received conservative treatment and 1 case was dead due to treatment refusal of the family.Neonates with bowel dilatation and meconium leakage all underwent surgery,neonates with meconium peritonitis pseudo-cyst and fetal ascites underwent conservative treatment,and the rate of operation was 100%,100%,22.2% and 35.0%,respectively. Conclusion Prenatal MRI findings of MP are characteristic.Bowel dilatation,meconium leakage,growing meconium peritonitis pseudo-cyst and meconium peritonitis pseudo-cyst connectted with adjacent intestine are highly suggestive of early surgical intervention in neonate.
ABSTRACT
Objective To provide references for human gait analysis and its application in clinical medicine and rehabilitation through research on practical application of piezoelectric gait analysis system in plantar pressure monitoring. Methods Piezoelectric gait analysis system was designed to collect pressure signals of six acquisition points in insole. The signals were transferred by bluetooth, and then analyzed and handled by APP and MATLAB. Results The plantar pressure cloud chart, center of pressure (COP) butterfly diagram were obtained by interpolation and color mapping in MATLAB, the walk cycle was calculated by measuring swing phase of both feet, and real time pressure monitoring was realized by mobile APP to give an accidental fall alarm. Conclusions The system can achieve monitoring of standing posture, state of equilibrium, walk cycle and accidental fall, and the experimental results are coincident with clinical research conclusions. Meanwhile, the wearable structure is more suitable in real walking scene.
ABSTRACT
Objective To provide references for human gait analysis and its application in clinical medicine and rehabilitation through research on practical application of piezoelectric gait analysis system in plantar pressure monitoring.Methods Piezoelectric gait analysis system was designed to collect pressure signals of six acquisition points in insole.The signals were transferred by bluetooth,and then analyzed and handled by APP and MATLAB.Results The plantar pressure cloud chart,center of pressure (COP) butterfly diagram were obtained by interpolation and color mapping in MATLAB,the walk cycle was calculated by measuring swing phase of both feet,and real time pressure monitoring was realized by mobile APP to give an accidental fall alarm.Conclusions The system can achieve monitoring of standing posture,state of equilibrium,walk cycle and accidental fall,and the experimental results are coincident with clinical research conclusions.Meanwhile,the wearable structure is more suitable in real walking scene.
ABSTRACT
Objective To provide references for human gait analysis and its application in clinical medicine and rehabilitation through research on practical application of piezoelectric gait analysis system in plantar pressure monitoring.Methods Piezoelectric gait analysis system was designed to collect pressure signals of six acquisition points in insole.The signals were transferred by bluetooth,and then analyzed and handled by APP and MATLAB.Results The plantar pressure cloud chart,center of pressure (COP) butterfly diagram were obtained by interpolation and color mapping in MATLAB,the walk cycle was calculated by measuring swing phase of both feet,and real time pressure monitoring was realized by mobile APP to give an accidental fall alarm.Conclusions The system can achieve monitoring of standing posture,state of equilibrium,walk cycle and accidental fall,and the experimental results are coincident with clinical research conclusions.Meanwhile,the wearable structure is more suitable in real walking scene.