The Rancho EMG analyzer: a computerized system for gait analysis

Area of Science:

• Biomedical Engineering
• Clinical Biomechanics
• Neuromuscular Physiology

Background:

• Electromyography (EMG) analysis is crucial for understanding lower extremity function during gait.
• Accurate and objective EMG interpretation can be challenging, requiring specialized systems.
• Existing methods may lack detailed phase-specific analysis and standardized reporting.

Purpose of the Study:

• To describe a computer system for accurate EMG pattern definition in lower extremities during gait.
• To validate the system's accuracy against expert visual analysis.
• To provide a clinically relevant reporting tool for gait analysis.

Main Methods:

• Utilized footswitches to define gait cycle phases and temporal relationships.
• Employed fine-wire or surface electrodes to capture EMG signals.
• Developed a normal database using time-adjusted mean profiles (TAMP).
• Generated Intensity Filtered Average (IFA) graphs and textual reports with descriptive qualifiers.

Main Results:

• The system achieved 86% accuracy in analyzing 428 muscle tests compared to expert visual analysis.
• Intensity Filtered Average (IFA) of EMG signals was graphically represented per stride.
• Clinically relevant textual reports were generated using descriptive qualifiers.

Conclusions:

• The described computer system accurately defines lower extremity EMG patterns during gait.
• The system offers a reliable and objective tool for clinical gait analysis.
• Recommendations for system use and future improvements were provided.