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Updated: Jun 25, 2025

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact
Published on: February 10, 2015
Ultraconformal Skin-Interfaced Sensing Platform for Motion Artifact-Free Monitoring
Yuyan Gao1, Bowen Li1, Ling Zhang1,2
1Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
This study introduces a new skin bioelectronic sensor that accurately captures physiological signals despite body movement. Its unique material allows for conformal skin contact and easy removal, improving health monitoring.
Area of Science:
- Materials Science
- Biomedical Engineering
- Wearable Technology
Background:
- Skin-interfaced bioelectronics offer promising human health monitoring.
- Signal accuracy is often compromised by body movements and skin deformations.
- Existing sensors struggle with reliability due to motion artifacts.
Purpose of the Study:
- To develop an ultraconformal, motion artifact-free skin bioelectronic sensing platform.
- To enable high-quality physiological data acquisition resistant to skin deformation.
- To create a multifunctional platform for health monitoring and human-machine interfaces.
Main Methods:
- Fabrication using a user-friendly laser patterning approach.
- Utilizing a conductive membrane of Ag/Cu@Cu core-shell nanoparticles that deforms with water.
- Developing a platform with highly conductive and stretchable interconnects.
Main Results:
- Achieved conformal skin contact through partial dissolution and local deformation of the membrane.
- Demonstrated improved electrophysiological signal capture during various skin deformations.
- Successfully integrated the platform into a functional pulse oximeter.
Conclusions:
- The developed platform provides reliable sensing of physiological signals, overcoming motion artifacts.
- Its conformability, multifunctionality, and ease of removal enhance its applicability for diverse populations.
- The technology enables advanced health monitoring and novel human-machine interfaces.
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