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April 24, 2026Instruments2 citationsOpen Access

Wireless Instrumented Ankle Foot Orthosis (AFO) for Gait Cycle Monitoring

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SMSoufiane MahraouiMSMauro Serpelloni

Key Points

  • The research aims to design and validate an instrumented AFO for objective gait monitoring.
  • Developed a compact AFO incorporating strain gauges, force sensors, and an IMU.
  • Validated angle measurements against a motion capture system and force detection against a force platform.
  • Utilized Bluetooth Low Energy for real-time data transmission and visualization.
  • Achieved a root mean square error of approximately 1.6 degrees in angle estimation.
  • Demonstrated reliable detection of foot loading and unloading events via force sensors.
  • Provided real-time monitoring of lateral shank inclination related to balance and fall risk.

Abstract

Ankle–foot orthoses (AFOs) are widely used in the rehabilitation of patients with neurological or musculoskeletal disorders. However, treatment outcomes may be influenced by incorrect use of the device or by inappropriate orthosis selection. Since many types of AFOs are available, differing in materials, stiffness, and geometry, an objective evaluation tool can support clinical decision-making. This work presents the design, development, and characterization of an instrumented AFO able to quantify relevant gait parameters in an objective way. The proposed device integrates three measurement modalities in a compact wearable structure. Two longitudinal strain gauges estimate ankle plantar- and dorsiflexion angles. Two force-sensitive elements detect foot–ground contact and allow identification of stance and swing phases of the gait cycle. A single inertial measurement unit (IMU) is used to measure lateral shank inclination. The strain-gauge-based angle estimation was validated against a gold-standard motion capture system, achieving a root mean square error of approximately 1.6 degrees and showing higher accuracy than the IMU for plantar/dorsiflexion measurement, while maintaining a simple electronic architecture. The force sensors were validated using a force platform and demonstrated reliable detection of loading and unloading events. Monitoring lateral inclination through the single IMU provides additional information related to balance and potential fall risk. Data are transmitted via Bluetooth Low Energy (BLE) to a custom Python-based application for real-time visualization and recording. Overall, the results validate the electronic instrumentation and demonstrate reliable system performance, indicating that the proposed instrumented AFO represents a promising platform for objective gait assessment and future clinical applications.

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Cite This Study

Mahraoui et al. (2026) studied this question.

synapsesocial.com/papers/69eb0aeb553a5433e34b4cd9https://doi.org/10.3390/instruments10020023
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