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Stretchable and Self-Healable Acoustic Sensor for Fast Respiratory Diseases Identification Based on Biocompatible
Qian Zhang1, Jie Xu2, Qiang Liu2
1School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Small (Weinheim an Der Bergstrasse, Germany)
|July 23, 2026
Summary
This study introduces a new stretchable and self-healable acoustic sensor for diagnosing respiratory diseases. This wearable device offers accurate, fast identification of lung conditions, overcoming limitations of current methods.
Area of Science:
- Materials Science
- Biomedical Engineering
- Wearable Technology
Background:
- Respiratory disease diagnosis is complex and costly, burdening patients.
- Traditional lung auscultation is subjective and prone to inaccuracy.
- Existing wearable sensors lack the stretchability needed for continuous, accurate pulmonary signal acquisition.
Purpose of the Study:
- To develop a stretchable and self-healable acoustic sensor for rapid respiratory disease identification.
- To overcome the limitations of current diagnostic methods and wearable sensor technology.
Main Methods:
- Fabrication of a bio-based piezoelectric elastomer (BBPE) sensor with high piezoelectricity and stretchability.
- Utilizing C═O dipoles in BBPE synthesis for enhanced piezoelectric properties.
- Testing sensor sensitivity, accuracy, stretchability (>1200%), and self-healing efficiency (>79% at 37°C).
Main Results:
- The BBPE sensor achieved high piezoelectricity and a low detection error (<0.1%).
- The sensor effectively converted pulmonary sounds into voltage signals for disease identification.
- Demonstrated excellent stretchability and rapid self-healing capabilities, ensuring long-term accuracy and device lifetime.
Conclusions:
- The developed stretchable and self-healable acoustic sensor shows significant potential for fast and accurate respiratory disease diagnosis.
- This technology offers a promising alternative to traditional methods and current wearable sensors.
- The sensor's properties ensure reliable performance and durability for clinical applications.
