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1.
Journal of Medical Biomechanics ; (6): E288-E292, 2017.
Artículo en Chino | WPRIM | ID: wpr-803832

RESUMEN

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.

2.
Journal of Medical Biomechanics ; (6): 288-292, 2017.
Artículo en Chino | WPRIM | ID: wpr-737339

RESUMEN

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.

3.
Journal of Medical Biomechanics ; (6): 288-292, 2017.
Artículo en Chino | WPRIM | ID: wpr-735871

RESUMEN

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.

4.
Journal of Medical Biomechanics ; (6): 288-292, 2017.
Artículo en Chino | WPRIM | ID: wpr-616719

RESUMEN

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.

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