An Ankle Joint Flexion and Extension Movement-Monitoring Device Based on Pressure Sensors
Open accessAbstract
Ankle joint flexion and extension movements play an important role in the rehabilitation training of patients who have been injured or bedridden for a long time before and after surgery. Accurately guiding patients to perform ankle flexion and extension movements can significantly reduce deep vein thromboembolism. Currently, most ankle rehabilitation devices focus on assisting patients with ankle flexion and extension movements, and there is a lack of devices for effectively monitoring these movements. In this study, we designed an ankle joint flexion and extension movement-monitoring device based on a pressure sensor. It was composed of an STM32 microcontroller, a pressure sensor, an HX711A/D conversion chip, and an ESP8266 WiFi communication module. The value of the force and the effective number of ankle joint flexion and extension movements were obtained. An experimental device was designed to verify the accuracy of the system. The maximum average error was 0.068 N; the maximum average relative error was 1.7%; the maximum mean-squared error was 0.00464 N. The results indicated that the monitoring device had a high accuracy and could effectively monitor the force of ankle flexion and extension movements, ultimately ensuring that the patient could effectively monitor and grasp the active ankle pump movement.
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For ankle joint flexion and extension movements, wearable monitoring devices developed for this purpose provide new pathways for lower limb motion intention prediction.
“Similarly, for ankle joint flexion and extension movements, wearable monitoring devices developed for this purpose provide new pathways for lower limb motion intention prediction (Fig. 4d) 86 .”
From Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction (2026) · cites this paper as [86]
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- Authors
- Xu, C., Zhou, Y., Ji, J., & Wei, C.
- Affiliations
- Shantou University (CN)
- Zhejiang Provincial Institute of Marine Development and Research, Zhoushan 316100, China
- Corresponding author
- Wei, Chuliang
- Venue
- Micromachines
- Publisher
- MDPI AG
- Published
- 2023-11-22
- Volume
- 14
- Issue
- 12
- Pages
- 2141
- ISSN
- 2072-666X (ISSN-L)
- PMC
- PMC10744840
- OpenAlex
- W4388899131
- Cited by
- 5
- References
- 22
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1
- FWCI
- 0.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Micromachines (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Zhoushan Science and Technology Plan Project (2022C61002)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Arduino and IoT Applications
- Keywords
- motion monitoring, pressure sensors, ankle rehabilitation, deep vein thrombosis prevention, force measurement, STM32 microcontroller, rehabilitation devices
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