Research progress of the plantar pressure monitoring system for gait analysis DOI Open Access
Ting Xu, Zhe Sun, Jian Fang

et al.

Chinese Science Bulletin (Chinese Version), Journal Year: 2023, Volume and Issue: 69(4-5), P. 565 - 577

Published: Sept. 27, 2023

With the aging of population in China, people’s demand for health monitoring is gradually increasing. As an effective way monitoring, gait analysis increasingly widely used disease diagnosis, fall prevention, rehabilitation, human-computer interaction and other fields. Gait reflects interconnectedness multiple physiological systems, including balance, strength, cardiovascular capacity, a person’s can tell us lot about their health. systematic study human walking movements important evaluation tool analyzing individual life signals, which be accomplished by collecting, describing characterizing kinetic mechanical data gait. Firstly, this paper introduces importance research status plantar pressure as well characteristics various systems. Secondly, foot are summarized, common division methods center point pressures phases. Then, materials key device acquisition, flexible sensors, systematically analyzed. In meantime, integration connection modes step recognition algorithms also summarized. Detailedly, according to sensing principle, sensor divided into piezoelectric, capacitive, piezoresistive, triboelectric, photoelectric, magnetic induction pneumatic sensors. Piezoelectric sensors do not require external power supply, have high sensitivity long service life, but cannot monitor static forces, preparation process more complicated than that The triboelectric has advantages types, wide range available materials, simple structures, self-power supply good biocompatibility. capacitive fast response, its portability poor easy interfered environmental factors. piezoresistive flexibility sensitivity. photoelectric anti-electromagnetic interference, sensitivity, light weight so on. conversion efficiency response ability, there errors caused hysteresis, it very sensitive field interference. Pneumatic sluggish bulky. Finally, design direction further system discussed. At present, although been on at home abroad, following three aspects need improved order realize large-scale normalized monitoring. First, meet needs customization, some specific diseases special populations, able flexibly adjusted. Second, formulate complete industry standards. For smart insoles, shoes socks, enable telemedicine services long-term sole necessary standardize principles ensure safety use. Third, improve processing technology. Through fusion algorithms, feature classification extraction carried out accuracy judgment reduce misjudgment rate. Internet Things technology utilized transmission, obtain greater storage space.

Language: Английский

Highly accurate deformation adaptive pressure sensor integrated with programmatically fabricated strain localizing yarn DOI

Yiming Ke,

Weibing Zhong,

Xiaojuan Ming

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160141 - 160141

Published: Feb. 1, 2025

Language: Английский

Citations

1

In-shoe plantar pressure measurement technologies for the diabetic foot: A systematic review DOI Creative Commons
Pedro Martins, Arcelina Marques, Luís Coelho

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e29672 - e29672

Published: April 15, 2024

Loss of cutaneous protective sensation and high plantar pressures increase the risk for diabetic foot patients. Trauma ulceration are imminent threats, making assessment monitoring essential. This systematic review aims to identify systems technologies measuring in-shoe pressures, focusing on at-risk population.

Language: Английский

Citations

5

Waterproof, stretchable and wearable corrugated conductive carbon fiber strain sensors for underwater respiration monitoring and swimming instruction DOI

Jingsong He,

Yizhou Li,

Fanping Yang

et al.

Applied Materials Today, Journal Year: 2024, Volume and Issue: 38, P. 102165 - 102165

Published: March 19, 2024

Language: Английский

Citations

4

A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing DOI Creative Commons

Qi Wang,

Hui Guan, Chen Wang

et al.

Science Advances, Journal Year: 2025, Volume and Issue: 11(16)

Published: April 16, 2025

Wearable insole-based pressure sensor systems have gained attention for continuous gait monitoring, showing potential preventing, diagnosing, and treating conditions such as lumbar degenerative disease diabetic foot ulcers. However, challenges nonlinear response, low stability, energy limitations hindered widespread adoption. Here, we report a fully integrated, self-powered, wireless smart insole designed plantar monitoring real-time visualization analysis of gait. The uses synergistic strategy, achieving remarkable linearity ( R 2 > 0.999 over 0 to 225 kilopascals) high durability (>180,000 compression cycles). Powered by flexible solar cells, the features 22 sensors, enabling spatially resolved mapping on smartphone interface. Integration support vector machine model further enables accurate recognition eight motion states, including static (e.g., sitting standing) dynamic walking, running, squatting) activities. provides practical solution improving clinical assessments, personalized treatments, biomechanics research.

Language: Английский

Citations

0

IoT-Based Wireless System for Gait Kinetics Monitoring in Multi-Device Therapeutic Interventions DOI Creative Commons
Christian Lang Rathke, Victor Costa de Andrade Pimentel, Pablo Javier Alsina

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(17), P. 5799 - 5799

Published: Sept. 6, 2024

This study presents an IoT-based gait analysis system employing insole pressure sensors to assess kinetics. The integrates piezoresistive within a left foot insole, with data acquisition managed using ESP32 board that communicates via Wi-Fi through MQTT IoT framework. In this initial protocol study, we conducted comparative the Zeno system, supported by PKMAS as gold standard, explore correlation and agreement of obtained from system. Four volunteers (two males two females, aged 24–28, without disorders) participated walking along 10 m path, equipped sensors, while wearing Vertical ground reaction force (vGRF) were collected over four cycles. preliminary results indicated strong positive (r = 0.87) between reference measurements. A Bland–Altman further demonstrated mean difference approximately (0.011) systems, suggesting minimal yet significant bias. These findings suggest may offer promising cost-effective solution for disorder assessment monitoring. However, operational factors such high temperatures sensor placement footwear can introduce noise or unwanted signal activation. communication framework proved functional reliable during protocol, plans future expansion multi-device applications. It is important note additional validation studies larger sample sizes are required confirm system’s reliability robustness clinical research

Language: Английский

Citations

1

Gait analysis and improvement in sports based on optical holographic imaging and pressure sensor DOI Creative Commons

Junxian Lin

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 15, 2024

Abstract Gait analysis is an important indicator for evaluating athletes' technical level and physical condition, but traditional methods have limitations on the accuracy real-time performance of gait. Therefore, this article proposes a novel gait method using optical holographic imaging technology pressure sensor technology. This establishes experimental system consisting device sensor, which captures data athletes converts it into digital signals. By technology, obtain 3D images athletes, as well detailed information such joint angles motion trajectories. Pressure sensors can measure distribution feet in real-time, providing more comprehensive data. Subsequently, collected analyzed identified, accurate patterns are established through training models classifying different types. The research results indicate that based great potential be applied to improvement sports.

Language: Английский

Citations

0

Research progress of the plantar pressure monitoring system for gait analysis DOI Open Access
Ting Xu, Zhe Sun, Jian Fang

et al.

Chinese Science Bulletin (Chinese Version), Journal Year: 2023, Volume and Issue: 69(4-5), P. 565 - 577

Published: Sept. 27, 2023

With the aging of population in China, people’s demand for health monitoring is gradually increasing. As an effective way monitoring, gait analysis increasingly widely used disease diagnosis, fall prevention, rehabilitation, human-computer interaction and other fields. Gait reflects interconnectedness multiple physiological systems, including balance, strength, cardiovascular capacity, a person’s can tell us lot about their health. systematic study human walking movements important evaluation tool analyzing individual life signals, which be accomplished by collecting, describing characterizing kinetic mechanical data gait. Firstly, this paper introduces importance research status plantar pressure as well characteristics various systems. Secondly, foot are summarized, common division methods center point pressures phases. Then, materials key device acquisition, flexible sensors, systematically analyzed. In meantime, integration connection modes step recognition algorithms also summarized. Detailedly, according to sensing principle, sensor divided into piezoelectric, capacitive, piezoresistive, triboelectric, photoelectric, magnetic induction pneumatic sensors. Piezoelectric sensors do not require external power supply, have high sensitivity long service life, but cannot monitor static forces, preparation process more complicated than that The triboelectric has advantages types, wide range available materials, simple structures, self-power supply good biocompatibility. capacitive fast response, its portability poor easy interfered environmental factors. piezoresistive flexibility sensitivity. photoelectric anti-electromagnetic interference, sensitivity, light weight so on. conversion efficiency response ability, there errors caused hysteresis, it very sensitive field interference. Pneumatic sluggish bulky. Finally, design direction further system discussed. At present, although been on at home abroad, following three aspects need improved order realize large-scale normalized monitoring. First, meet needs customization, some specific diseases special populations, able flexibly adjusted. Second, formulate complete industry standards. For smart insoles, shoes socks, enable telemedicine services long-term sole necessary standardize principles ensure safety use. Third, improve processing technology. Through fusion algorithms, feature classification extraction carried out accuracy judgment reduce misjudgment rate. Internet Things technology utilized transmission, obtain greater storage space.

Language: Английский

Citations

0