An Open-Source Wearable System for Real-Time Human Biomechanical Analysis.

Area of Science:

• Biomechanics
• Wearable Technology
• Clinical Engineering

Background:

• Inertial Measurement Unit (IMU) technology offers potential for motion analysis.
• Clinical adoption of IMUs is limited by cost, setup complexity, and expertise requirements.
• Existing proprietary systems hinder accessibility in patient-facing applications.

Purpose of the Study:

• To develop and present a multi-IMU system designed for accessible and efficient motion analysis.
• To address the constraints of cost, setup time, and specialized knowledge in clinical IMU use.
• To enable patient-facing applications through streamlined calibration and data processing.

Main Methods:

• Development of a multi-IMU system with modular design for adaptability.
• Implementation of streamlined calibration protocols and efficient data processing.
• Focus on user-friendly software deployment for clinical and rehabilitation settings.

Main Results:

• Demonstration of near-real-time measurement of lower-limb gait kinematics.
• Provision of stride-to-stride biofeedback using a single sensor.
• Successful adaptation for diverse motion tracking scenarios beyond initial gait analysis.

Conclusions:

• The developed multi-IMU system shows significant potential for gait assessment and rehabilitation.
• The system's accessibility and efficiency can overcome barriers to clinical adoption of IMU technology.
• Future validation against optical motion capture methods is planned to further establish its utility.