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Updated: Mar 6, 2026
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Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
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Real-time gait event detection for lower limb amputees using a single wearable sensor
Summary
This study introduces a real-time gait event detection system using an inertial measurement unit (IMU) for lower limb amputees. The system accurately identifies key gait events, aiding in prosthetic control and analysis.
Area of Science:
- Biomechanics
- Rehabilitation Engineering
- Wearable Technology
Background:
- Accurate real-time gait event detection is crucial for lower limb amputee rehabilitation and prosthetic control.
- Existing methods may have limitations in accuracy or real-time applicability.
Purpose of the Study:
- To develop and validate a rule-based real-time gait event/phase detection system (R-GEDS).
- To utilize a shank-mounted inertial measurement unit (IMU) for detecting gait events during level ground walking in lower limb amputees.
Main Methods:
- Algorithm development based on shank angular velocity and linear acceleration.
- System evaluation with control subjects (CS) and a transfemoral amputee (TFA).
- Validation using FlexiForce footswitches (FSW) for comparison.
Main Results:
- High detection accuracy (99.78%) for all gait events.
- Data latency for initial contact (IC) and toe off (TO) within ± 40 ms.
- Varied detection times for foot-flat start (FFS) and heel-off (HO) between CS and TFA, particularly on the prosthetic side.
Conclusions:
- The R-GEDS system demonstrates high accuracy and real-time capabilities for gait event detection.
- The system shows potential for application in gait analysis and lower limb prosthesis control.
- Kinematic differences between amputees and control subjects influence detection timing variations.
