Literature DB >> 20071266

In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array.

Lin Shu1, Tao Hua, Yangyong Wang, Qiao Qiao Li, David Dagan Feng, Xiaoming Tao.   

Abstract

Spatial and temporal plantar pressure distributions are important and useful measures in footwear evaluation, athletic training, clinical gait analysis, and pathology foot diagnosis. However, present plantar pressure measurement and analysis systems are more or less uncomfortable to wear and expensive. This paper presents an in-shoe plantar pressure measurement and analysis system based on a textile fabric sensor array, which is soft, light, and has a high-pressure sensitivity and a long service life. The sensors are connected with a soft polymeric board through conductive yarns and integrated into an insole. A stable data acquisition system interfaces with the insole, wirelessly transmits the acquired data to remote receiver through Bluetooth path. Three configuration modes are incorporated to gain connection with desktop, laptop, or smart phone, which can be configured to comfortably work in research laboratories, clinics, sport ground, and other outdoor environments. A real-time display and analysis software is presented to calculate parameters such as mean pressure, peak pressure, center of pressure (COP), and shift speed of COP. Experimental results show that this system has stable performance in both static and dynamic measurements.

Mesh:

Year:  2010        PMID: 20071266     DOI: 10.1109/TITB.2009.2038904

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  42 in total

1.  Three-dimensionally deformable, highly stretchable, permeable, durable and washable fabric circuit boards.

Authors:  Qiao Li; Xiao Ming Tao
Journal:  Proc Math Phys Eng Sci       Date:  2014-11-08       Impact factor: 2.704

2.  Classifying sitting, standing, and walking using plantar force data.

Authors:  Kohle J Merry; Evan Macdonald; Megan MacPherson; Omar Aziz; Edward Park; Michael Ryan; Carolyn J Sparrey
Journal:  Med Biol Eng Comput       Date:  2021-01-08       Impact factor: 2.602

3.  Luminous fabric devices for wearable low-level light therapy.

Authors:  Jing Shen; Chunghin Chui; Xiaoming Tao
Journal:  Biomed Opt Express       Date:  2013-11-22       Impact factor: 3.732

4.  Smarter Sole Survival: Will Neuropathic Patients at High Risk for Ulceration Use a Smart Insole-Based Foot Protection System?

Authors:  Bijan Najafi; Eyal Ron; Ana Enriquez; Ivan Marin; Javad Razjouyan; David G Armstrong
Journal:  J Diabetes Sci Technol       Date:  2017-01-30

5.  A Haptic Feedback System for Phase-Based Sensory Restoration in Above-Knee Prosthetic Leg Users.

Authors:  Aaron Plauche; Dario Villarreal; Robert D Gregg
Journal:  IEEE Trans Haptics       Date:  2016-06-14       Impact factor: 2.487

6.  Posture and activity recognition and energy expenditure estimation in a wearable platform.

Authors:  Edward Sazonov; Nagaraj Hegde; Raymond C Browning; Edward L Melanson; Nadezhda A Sazonova
Journal:  IEEE J Biomed Health Inform       Date:  2015-05-19       Impact factor: 5.772

7.  Estimating Ground Reaction Force and Center of Pressure Using Low-Cost Wearable Devices.

Authors:  Brandon Oubre; Spencer Lane; Skylar Holmes; Katherine Boyer; Sunghoon Ivan Lee
Journal:  IEEE Trans Biomed Eng       Date:  2022-03-18       Impact factor: 4.538

8.  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

9.  A Velostat-Based Pressure-Sensitive Mat for Center-of-Pressure Measurements: A Preliminary Study.

Authors:  Javier Martinez-Cesteros; Carlos Medrano-Sanchez; Inmaculada Plaza-Garcia; Raul Igual-Catalan; Sergio Albiol-Pérez
Journal:  Int J Environ Res Public Health       Date:  2021-06-02       Impact factor: 3.390

10.  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

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