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Multi-modal Wearable Patch for Localized Monitoring of Post-operative Skin Flap Transplantation
Jie Luo1,2, Yongjie Zhao3, Yongqi Xu4
1Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo, Ningbo 315100, China.
ACS Applied Materials & Interfaces
|February 27, 2025
Summary
This study introduces a new multi-modal wearable patch for monitoring skin flap transplantation (SFT) recovery. The patch offers localized, multi-parameter monitoring, improving post-operative care and reducing complication risks.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Surgical Innovation
Background:
- Skin flap transplantation (SFT) monitoring is vital for preventing complications like necrosis and infection.
- Current methods involve intermittent gauze removal, leading to delayed detection and potential secondary injury.
- Existing wearable sensors lack multi-parameter, localized monitoring capabilities and have poor wearability.
Purpose of the Study:
- To develop a novel multi-modal wearable patch (MMWP) for comprehensive SFT monitoring.
- To enable simultaneous, multi-parameter, and spatially resolved assessment of flap condition.
- To overcome limitations of current monitoring techniques and advance precision post-operative care.
Main Methods:
- Designed a distributed MMWP with strain, temperature, humidity, and percutaneous arterial oxygen saturation (SpO2) sensors.
- Incorporated a tic-tac-toe strain sensor pattern for zonal detection (20 mm × 20 mm resolution).
- Integrated Bluetooth low energy (BLE) for wireless data transmission.
Main Results:
- The MMWP demonstrated high sensitivity across all sensor types (strain, temperature, humidity, SpO2).
- Successfully localized uneven flap recovery in a 14-day rat SFT model.
- Achieved SpO2 measurement error <1% compared to commercial oximeters.
Conclusions:
- The MMWP provides a sensitive, wearable solution for localized, multi-parameter SFT monitoring.
- This technology significantly improves upon traditional gauze-based methods.
- The platform paves the way for enhanced precision in post-operative care for skin flap transplantation.
Keywords:
laser-induced graphenelocalized detectionmulti-modal sensor systempost-operative monitoringskin flap transplantationwireless feedback system
