研究目的
Investigating the penetration depth of Split Ring Resonator sensor in in-vivo context of the femoral area for monitoring the recovery of lower extremity trauma patients.
研究成果
The study demonstrates a new approach for estimating penetration depth using SRR sensor S11 measurement and tissue thickness from ultrasound images. The results show that the resonance frequency and penetration depth depend on the specific measurement location and tissue thickness, with the thigh region showing the highest penetration depth up to 17.5mm. This method shows promise for non-invasive monitoring of lower extremity fracture rehabilitation.
研究不足
The study is limited by the number of volunteers (4) and the specific locations measured on the lower extremity. Future tests and measurements are needed to validate the findings further.
1:Experimental Design and Method Selection:
The study uses a Split Ring Resonator (SRR) sensor to monitor changes in dielectric properties of lower limb tissues. The method involves measuring tissue thicknesses from ultrasound images and microwave reflectivity (S11) measurements.
2:Sample Selection and Data Sources:
Data were gathered from 4 consenting volunteers at the Telge Rehabilitation Center, S?dert?lje, Sweden, focusing on four locations on the lower extremity.
3:List of Experimental Equipment and Materials:
The SRR sensor, network analyzer (MiniVNA Tiny- mRS radio solution), and ultrasound imaging equipment were used.
4:Experimental Procedures and Operational Workflow:
The SRR sensor was attached to the participant’s hip, aligned to the anterior and lateral hip direction, and connected to the network analyzer. Measurements were performed over an operating frequency of 1-3 GHz.
5:Data Analysis Methods:
The tissue thickness information from ultrasound measurements was used to create a 3D simulation model in CST studio 2017. The measured S11 values were used to optimize the effective permittivity of the model, and penetration depths were calculated from the simulation of electric field distribution.
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