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"Accident prevention"

Original Article
Slip-Related Changes in Plantar Pressure Distribution, and Parameters for Early Detection of Slip Events
Seungyoung Choi, Hyungpil Cho, Boram Kang, Dong Hun Lee, Mi Jung Kim, Seong Ho Jang
Ann Rehabil Med 2015;39(6):897-904.   Published online December 29, 2015
DOI: https://doi.org/10.5535/arm.2015.39.6.897
Objective

To investigate differences in plantar pressure distribution between a normal gait and unpredictable slip events to predict the initiation of the slipping process.

Methods

Eleven male participants were enrolled. Subjects walked onto a wooden tile, and two layers of oily vinyl sheet were placed on the expected spot of the 4th step to induce a slip. An insole pressure-measuring system was used to monitor plantar pressure distribution. This system measured plantar pressure in four regions (the toes, metatarsal head, arch, and heel) for three events: the step during normal gait; the recovered step, when the subject recovered from a slip; and the uncorrected, harmful slipped step. Four variables were analyzed: peak pressure (PP), contact time (CT), the pressure-time integral (PTI), and the instant of peak pressure (IPP).

Results

The plantar pressure pattern in the heel was unique, as compared with other parts of the sole. In the heel, PP, CT, and PTI values were high in slipped and recovered steps compared with normal steps. The IPP differed markedly among the three steps. The IPPs in the heel for the three events were, in descending order (from latest to earliest), slipped, recovered, and normal steps, whereas in the other regions the order was normal, recovered, and slipped steps. Finally, the metatarsal head-to-heel IPP ratios for the normal, recovered, and slipped steps were 6.1±2.9, 3.1±3.0, and 2.2±2.5, respectively.

Conclusion

A distinctive plantar pressure pattern in the heel might be useful for early detection of a slip event to prevent slip-related injuries.

Citations

Citations to this article as recorded by  
  • A Parallel Network Architecture for Automatic Slip Detection Task in Human-Centered Footwear Test
    Shaghayegh Chavoshian, Atena Roshan Fekr
    IEEE Journal of Biomedical and Health Informatics.2025; 29(12): 8759.     CrossRef
  • Fall risk assessment of active back-support exoskeleton-use for construction work using foot plantar pressure distribution
    Akinwale Okunola, Abiola Akanmu, Houtan Jebelli
    Advanced Engineering Informatics.2024; 62: 102626.     CrossRef
  • A Novel BCG Heart Rate Detection System Using a Piezoelectric Sensor Embedded in a Shoe Insole
    José A. García-Limón, Carlos Alvarado-Serrano, Ramon Casanella
    IEEE Sensors Journal.2024; 24(19): 31062.     CrossRef
  • Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges
    Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, M. Jamal Deen
    Sensors.2022; 22(2): 438.     CrossRef
  • Validity and reliability of a wearable insole pressure system for measuring gait parameters to identify safety hazards in construction
    Maxwell Fordjour Antwi-Afari, Heng Li, JoonOh Seo, Shahnawaz Anwer, Sitsofe Kwame Yevu, Zezhou Wu
    Engineering, Construction and Architectural Management.2021; 28(6): 1761.     CrossRef
  • Quantifying workers’ gait patterns to identify safety hazards in construction using a wearable insole pressure system
    Maxwell Fordjour Antwi-Afari, Heng Li, Shahnawaz Anwer, Sitsofe Kwame Yevu, Zezhou Wu, Prince Antwi-Afari, Inhan Kim
    Safety Science.2020; 129: 104855.     CrossRef
  • Review on plantar data analysis for disease diagnosis
    Julian Andres Ramirez-Bautista, Antonio Hernández-Zavala, Silvia L. Chaparro-Cárdenas, Jorge A. Huerta-Ruelas
    Biocybernetics and Biomedical Engineering.2018; 38(2): 342.     CrossRef
  • Fall risk assessment of construction workers based on biomechanical gait stability parameters using wearable insole pressure system
    Maxwell Fordjour Antwi-Afari, Heng Li
    Advanced Engineering Informatics.2018; 38: 683.     CrossRef
  • Tripping Elicits Earlier and Larger Deviations in Linear Head Acceleration Compared to Slipping
    Sara L. Arena, Julian L. Davis, J. Wallace Grant, Michael L. Madigan, David J Clark
    PLOS ONE.2016; 11(11): e0165670.     CrossRef
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