Frequency-Domain Analysis for Accurate and Robust Gait Cycle Time Detection with Clinical Data

Area of Science:

• Biological Engineering
• Biomedical Signal Processing

Background:

• Gait cycle time (GCT) analysis is crucial in biological engineering.
• Inertial measurement units (IMUs) are commonly used to record gait acceleration signals.
• Accurate peak detection in IMU acceleration data is essential for reliable GCT analysis.

Purpose of the Study:

• To propose a new procedure for accurately detecting peaks in noisy IMU acceleration signals.
• To enhance the precision of gait cycle time (GCT) calculations.
• To address the challenges posed by noise in IMU-based gait analysis.

Main Methods:

• Utilizing frequency-domain analysis of acceleration signals.
• Developing a peak detection procedure specifically for noisy IMU data.
• Implementing signal processing techniques to isolate relevant gait features.

Main Results:

• Successfully detected peaks in noisy IMU acceleration signals with improved accuracy.
• Demonstrated the effectiveness of the proposed frequency-domain approach.
• Provided a reliable method for GCT analysis.

Conclusions:

• The proposed frequency-domain detection procedure accurately identifies peaks in noisy IMU acceleration signals.
• This method enhances the reliability of gait cycle time (GCT) calculations.
• The study contributes a valuable tool for biological engineering and gait analysis research.