Smart Compression Sock for Early Detection of Diabetic Foot Ulcers

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Diabetic Foot Care

Background:

• Diabetic foot ulcers (DFUs) represent a significant clinical challenge, necessitating innovative prevention strategies.
• Current monitoring methods for foot health are often inadequate for early DFU detection.

Purpose of the Study:

• To evaluate a novel smart compression sock equipped with integrated sensors for monitoring key foot physiological parameters.
• To assess the device's ability to detect variations in temperature, plantar pressure, and blood oxygen during physical activity.

Main Methods:

• A smart compression sock with integrated temperature, plantar pressure, and blood oxygen sensors was developed.
• Twenty healthy adults participated in tests involving six different physical activities.
• Data were collected via a mobile app, and analyzed using repeated measures ANOVA and post hoc tests.

Main Results:

• The smart sock successfully detected significant variations in foot temperature, plantar pressure, and blood oxygen levels across different activities.
• Statistical analysis confirmed significant differences in sensor readings based on activity type and sensor location.
• The device demonstrated sensitivity and accuracy in capturing physiological foot changes.

Conclusions:

• The smart compression sock shows promise as a tool for the early detection of risk factors associated with diabetic foot ulcers.
• Further clinical validation in larger, diverse diabetic populations is warranted to confirm efficacy in DFU prevention.