Literature DB >> 21310644

An in-shoe device to measure plantar pressure during daily human activity.

M Saito1, K Nakajima, C Takano, Y Ohta, C Sugimoto, R Ezoe, K Sasaki, H Hosaka, T Ifukube, S Ino, K Yamashita.   

Abstract

In this work, we report the development of a novel device, integrated into a shoe, to monitor plantar pressure under real-life conditions by reducing the spatial and temporal resolution. The device consists of a shoe insole with seven pressure-sensitive conductive rubber sensors and a wireless data transmission unit incorporated into a smaller measurement unit. One advantage of this approach is that the mass and volume of the measurement unit are less than 1/10th and 1/50th, respectively, of that reported for other devices. A comparison experiment was conducted for validation of the device using the F-scan system, and the initial test of the device was conducted by recording unobstructed gaits of one young adult subject and two elderly subjects. Each subject performed a straight, level walking trial at a comfortable speed for 7 m without any assistive device while wearing the in-shoe device. Changes in the plantar pressure during gait were recorded. Compared with the young subject, the pressure under the heel of the elderly subject was found to be smaller and less steep. This in-shoe device can be used to monitor plantar pressure during daily living and is expected to be useful in various clinical applications.
Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21310644     DOI: 10.1016/j.medengphy.2011.01.001

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  15 in total

Review 1.  Smart health monitoring systems: an overview of design and modeling.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini
Journal:  J Med Syst       Date:  2013-01-15       Impact factor: 4.460

2.  Foot plantar pressure measurement system: a review.

Authors:  Abdul Hadi Abdul Razak; Aladin Zayegh; Rezaul K Begg; Yufridin Wahab
Journal:  Sensors (Basel)       Date:  2012-07-23       Impact factor: 3.576

3.  A wireless flexible sensorized insole for gait analysis.

Authors:  Simona Crea; Marco Donati; Stefano Marco Maria De Rossi; Calogero Maria Oddo; Nicola Vitiello
Journal:  Sensors (Basel)       Date:  2014-01-09       Impact factor: 3.576

4.  StraightenUp+: Monitoring of Posture during Daily Activities for Older Persons Using Wearable Sensors.

Authors:  Gabriela Cajamarca; Iyubanit Rodríguez; Valeria Herskovic; Mauricio Campos; Juan Carlos Riofrío
Journal:  Sensors (Basel)       Date:  2018-10-11       Impact factor: 3.576

5.  Development of a step counting algorithm using the ambulatory tibia load analysis system for tibia fracture patients.

Authors:  Arad Lajevardi-Khosh; Ben Tresco; Ami Stuart; Sarina Sinclair; Matt Ackerman; Erik Kubiak; Tomasz Petelenz; Robert Hitchcock
Journal:  J Rehabil Assist Technol Eng       Date:  2018-12-14

6.  Design and test of a soft plantar force measurement system for gait detection.

Authors:  Xuefeng Zhang; Yulong Zhao; Zhengyong Duan; Yan Liu
Journal:  Sensors (Basel)       Date:  2012-12-03       Impact factor: 3.576

7.  A locomotion intent prediction system based on multi-sensor fusion.

Authors:  Baojun Chen; Enhao Zheng; Qining Wang
Journal:  Sensors (Basel)       Date:  2014-07-10       Impact factor: 3.576

8.  The Design and Application of Simplified Insole-Based Prototypes with Plantar Pressure Measurement for Fast Screening of Flat-Foot.

Authors:  Wei-Chun Hsu; Tommy Sugiarto; Jun-Wen Chen; Yi-Jia Lin
Journal:  Sensors (Basel)       Date:  2018-10-25       Impact factor: 3.576

9.  Closing the Wearable Gap-Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors.

Authors:  Tony Luczak; Reuben F Burch V; Brian K Smith; Daniel W Carruth; John Lamberth; Harish Chander; Adam Knight; J E Ball; R K Prabhu
Journal:  Sensors (Basel)       Date:  2019-12-30       Impact factor: 3.576

10.  Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection.

Authors:  Wenzheng Heng; Gaoyang Pang; Feihong Xu; Xiaoyan Huang; Zhibo Pang; Geng Yang
Journal:  Sensors (Basel)       Date:  2019-11-27       Impact factor: 3.576

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