A portable plantar pressure system: Specifications, design, and preliminary results.

BACKGROUND In recent years, there has been an increasing interest in developing in-shoe foot plantar pressure systems. Although such devices are not novel, devising insole devices for gait analysis is still an important issue. OBJECTIVE The goal of this study is to develop a new portable system for plantar pressure distribution measurement based on a three-axis accelerometer. METHODS The portable system includes: PJRC Teensy 3.6 microcontroller with 32-bit ARM Cortex-M4 microprocessor with a clock speed of 180 MHz; HC-11 radio modules (transmitter and receiver); a battery; a fixing band; pressure sensors; MPU-9150 inertial navigation module; and FFC tape. The pressure insole is leather-based and consists of seven layers. It is divided into 16 areas and the outcome of the system is data concerning plantar pressure distribution under foot during gait. The system was tested on 22 healthy volunteer subjects, and the data was compared with a commercially available system: Medilogic. RESULT The SNR value for the proposed sensor is 28.27 dB. For a range of pressure of 30-100 N, the sensitivity is 0.0066 V/N while the linearity error is 0.05. The difference in plantar pressure from both the portable plantar pressure system and Medilogic is not statistically significant. CONCLUSION The proposed system could be recommended for research applications both inside and outside of a typical gait laboratory.

[1]  Kamiar Aminian,et al.  Instrumented shoes for activity classification in the elderly. , 2016, Gait & posture.

[2]  M. Tomizuka,et al.  A mobile gait monitoring system for abnormal gait diagnosis and rehabilitation: a pilot study for Parkinson disease patients. , 2011, Journal of biomechanical engineering.

[3]  Qiao Li,et al.  In-Shoe Plantar Pressure Measurement and Analysis System Based on Fabric Pressure Sensing Array , 2010, IEEE Transactions on Information Technology in Biomedicine.

[4]  Edward Sazonov,et al.  A Comparative Review of Footwear-Based Wearable Systems , 2016 .

[5]  Rafal Dlugosz,et al.  Novel techniques for a wireless motion capture system for the monitoring and rehabilitation of disabled persons for application in smart buildings. , 2018, Technology and health care : official journal of the European Society for Engineering and Medicine.

[6]  Armelle M. Ngueleu,et al.  Validity of Instrumented Insoles for Step Counting, Posture and Activity Recognition: A Systematic Review , 2019, Sensors.

[7]  Aurelio Cappozzo,et al.  Measurement of human locomotion, Vladimir Medved; CRC Press LLC, Boca Raton, FL, 2001, pp. 255, ISBN 0-8493-7675-0 , 2003 .

[8]  Kuan Zhang,et al.  Assessment of human locomotion by using an insole measurement system and artificial neural networks. , 2005, Journal of biomechanics.

[9]  Jeremy R. Cooperstock,et al.  VibeWalk: Foot-based tactons during walking and quiet stance , 2017, 2017 IEEE World Haptics Conference (WHC).

[10]  M Meduri,et al.  Voiding disorders in patients with cerebrovascular disease. , 1992, Functional neurology.

[11]  J. Griškevičius,et al.  Research of the spatial-temporal gait parameters and pressure characteristic in spastic diplegia children. , 2016, Acta of bioengineering and biomechanics.

[12]  Edward Sazonov,et al.  One size fits all electronics for insole-based activity monitoring , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[13]  Tao Liu,et al.  A Wearable Ground Reaction Force Sensor System and Its Application to the Measurement of Extrinsic Gait Variability , 2010, Sensors.

[14]  Jolanta Pauk,et al.  Gait patterns classification based on cluster and bicluster analysis , 2016 .

[15]  Joseph A. Paradiso,et al.  Gait Analysis Using a Shoe-Integrated Wireless Sensor System , 2008, IEEE Transactions on Information Technology in Biomedicine.

[16]  N. Chockalingam,et al.  Repeatability of WalkinSense® in shoe pressure measurement system: A preliminary study. , 2012, Foot.