Recent Advances in Signal Processing for Flexible and Wearable Electronics
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Materials, Devices and Applications".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 67
Special Issue Editors
Interests: wearable devices; soft actuators; robotics
Special Issue Information
Dear Colleagues,
Flexible and wearable electronics have rapidly emerged as transformative technologies with applications in healthcare, robotics, human–machine interfaces, and beyond. However, the effective integration of signal processing techniques is crucial for optimizing their performance, addressing challenges such as noise filtering, real-time data visualization, feature extraction, machine learning-based analysis, and other critical functions. This Special Issue aims to showcase the latest innovations at the intersection of flexible electronics and advanced signal processing.
The scope of this collection includes novel machine learning algorithms and signal processing methods that advance signal acquisition, filtering, feature extraction, and classification in flexible electronics. Topics of interest span machine learning for bio-signal analysis, processing architectures, adaptive noise cancellation, multimodal data fusion, etc. The purpose of this Special Issue is to bridge gaps between signal processing and flexible device design, highlighting synergies that push the boundaries of functionality.
By focusing on tailored signal processing strategies for these emerging technologies, this Special Issue complements the existing literature, which often addresses either domain independently. It offers readers insights into practical solutions and conceptual frameworks, inspiring future research and innovation in the rapidly evolving field of flexible and wearable devices.
Dr. Xiangjun Chen
Dr. Hongjie Hu
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- signal processing
- flexible electronics
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