Stretchable graded multichannel self-powered respiratory sensor inspired by shark gill.

Area of Science:

• Biomedical Engineering
• Materials Science
• Wearable Technology

Background:

• Respiratory sensing is crucial for medical diagnosis and health monitoring.
• Existing sensors often lack conformability, accuracy, durability, or sustainability.
• There is a need for advanced wearable sensors for continuous physiological monitoring.

Purpose of the Study:

• To develop a stretchable, multichannel respiratory sensor inspired by shark gill structures.
• To integrate piezoelectric and triboelectric effects for enhanced sensing capabilities.
• To enable accurate, simultaneous monitoring of breathing rate and depth.

Main Methods:

• Designed a bionic shark gill structure to convert transverse to longitudinal elastic deformation.
• Integrated piezoelectric and triboelectric effects into the sensor design.
• Utilized a graded electrical response to varying tensile strains for data interpretation.

Main Results:

• The bionic shark gill respiratory sensor (BSG-RS) demonstrated accurate monitoring of breathing rate and depth.
• The sensor exhibited excellent stretchability, wearability, and long-term stability (50,000 cycles).
• Effective recognition of different human breathing states was achieved with supporting software.

Conclusions:

• The BSG-RS offers a promising solution for non-invasive respiratory monitoring.
• Its advanced features support application as self-powered smart wearables for mobile medical diagnostics.
• The bionic design enhances sensor performance and durability for long-term use.