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Real-time pressure mapping smart insole system based on a controllable vertical pore dielectric layer.

ABSTRACT: Real-time monitoring of plantar pressure has significant applications in wearable biosensors, sports injury detection, and early diagnostics. Herein, an all-in-one insole composed of 24 capacitive pressure sensors (CPSs) with vertical pores in an elastic dielectric layer is fabricated by laser cutting. Optimized CPSs with a hexagonal configuration and a pore size of 600 μm possess good linearity over a wide detection range of 0-200 kPa with a sensitivity of 12 × 10^-3 kPa^-1. Then, a smart system including the all-in-one insole with the 24 CPS array, a data acquisition system with a wireless transmitter and a PC terminal with a wireless receiver is established for real-time monitoring to realize static and dynamic plantar pressure mapping. Based on this smart insole system, various standing and yoga postures can be distinguished, and variations in the center of gravity during walking can be recognized. This intelligent insole system provides great feasible supervision for health surveillance, injury prevention, and athlete training.

SUBMITTER: Tao J

PROVIDER: S-EPMC8433384 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Real-time pressure mapping smart insole system based on a controllable vertical pore dielectric layer.

Tao Juan J Dong Ming M Li Li L Wang Chunfeng C Li Jing J Liu Yue Y Bao Rongrong R Pan Caofeng C

Microsystems & nanoengineering 20200810

Real-time monitoring of plantar pressure has significant applications in wearable biosensors, sports injury detection, and early diagnostics. Herein, an all-in-one insole composed of 24 capacitive pressure sensors (CPSs) with vertical pores in an elastic dielectric layer is fabricated by laser cutting. Optimized CPSs with a hexagonal configuration and a pore size of 600 μm possess good linearity over a wide detection range of 0-200 kPa with a sensitivity of 12 × 10<sup>-3</sup> kPa<sup>-1</sup>. ...[more]

PMID: 34567673

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Project description:Gait analysis is a systematic study of human locomotion, which can be utilized in variousapplications, such as rehabilitation, clinical diagnostics and sports activities. The various limitationssuch as cost, non-portability, long setup time, post-processing time etc., of the current gait analysistechniques have made them unfeasible for individual use. This led to an increase in research interestin developing smart insoles where wearable sensors can be employed to detect vertical groundreaction forces (vGRF) and other gait variables. Smart insoles are flexible, portable and comfortablefor gait analysis, and can monitor plantar pressure frequently through embedded sensors thatconvert the applied pressure to an electrical signal that can be displayed and analyzed further.Several research teams are still working to improve the insoles' features such as size, sensitivity ofinsoles sensors, durability, and the intelligence of insoles to monitor and control subjects' gait bydetecting various complications providing recommendation to enhance walking performance. Eventhough systematic sensor calibration approaches have been followed by different teams to calibrateinsoles' sensor, expensive calibration devices were used for calibration such as universal testingmachines or infrared motion capture cameras equipped in motion analysis labs. This paper providesa systematic design and characterization procedure for three different pressure sensors: forcesensitiveresistors (FSRs), ceramic piezoelectric sensors, and flexible piezoelectric sensors that canbe used for detecting vGRF using a smart insole. A simple calibration method based on a load cellis presented as an alternative to the expensive calibration techniques. In addition, to evaluate theperformance of the different sensors as a component for the smart insole, the acquired vGRF fromdifferent insoles were used to compare them. The results showed that the FSR is the most effectivesensor among the three sensors for smart insole applications, whereas the piezoelectric sensors canbe utilized in detecting the start and end of the gait cycle. This study will be useful for any researchgroup in replicating the design of a customized smart insole for gait analysis.

Project description:BackgroundOlder individuals frequently experience reversible "frailty syndrome,", increasing incidence of disability. Although physical exercise interventions may delay functional decline, there are difficulties in implementing them and performing seamless follow-up at home. Very few technological solutions attempt to address this challenge and improve individual participation.ObjectiveOur objectives are to (1) develop a technological solution designed to support active aging of frail older persons, (2) conduct a first laboratory evaluation of the device, and (3) design a multidimensional clinical trial to validate our solution.MethodsWe conducted a first phase of multidisciplinary meetings to identify real end users and health professional's unmet needs, and to produce specifications for the architecture of the solution. In a second phase, we performed laboratory tests of the first proposed prototype (a smart insole) with 3 healthy volunteers. We then designed an ongoing clinical trial to finalize the multidimensional evaluation and improvement of the solution.ResultsTo respond to the needs expressed by the stakeholders (frailty monitoring and adherence improvement), we developed a prototype of smart shoe insole to monitor key parameters of frailty during daily life and promote walking. It is a noninvasive wireless insole, which automatically measures gait parameters and transmits information to a remote terminal via a secure Internet connection. To ensure the solution's autonomy and transparency, we developed an original energy harvesting system, which transforms mechanical energy produced by the user's walking movement into electrical energy. The first laboratory tests of this technological solution showed good reliability measures and also a good acceptability for the users. We have planned an original iterative medical research protocol to validate our solution in real life.ConclusionsOur smart insole could support preventive strategies against disability in primary care by empowering the older patients without increasing the busy health professional's workload.Trial registrationClinicaltrials.gov NCT02316600; https://clinicaltrials.gov/ct2/results?term=NCT02316600&Search=Search. Accessed: 2015-05-13 . (Archived by WebCite at http://www.webcitation.org/6YUTkObrQ).

Dataset Information

Real-time pressure mapping smart insole system based on a controllable vertical pore dielectric layer.

Publications

Real-time pressure mapping smart insole system based on a controllable vertical pore dielectric layer.

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