Article
Chemistry, Multidisciplinary
Hyeongjin Jo, Yujun Song, Danbi Lee, Youn-Jung Kang, Jungho Ahn, Ji-Hyeon Song
Summary: This study introduces a printed sensor that utilizes a substrate-sensor isolation strategy, allowing size and design reconfigurability similar to Lego-like assembly. The sensor can be customized through post-design modifications and is produced using the electrohydrodynamic printing process, eliminating the need for a separate poling process. The sensors exhibit good mechanical and electrical stabilities and find applications in wearables and biomedical fields.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Yehu David Horev, Arnab Maity, Youbin Zheng, Yana Milyutin, Muhammad Khatib, Miaomiao Yuan, Ran Yosef Suckeveriene, Ning Tang, Weiwei Wu, Hossam Haick
Summary: A highly gas-permeable ultra-thin strain sensor has been developed by covalently grafting nanofibrous polyaniline (PANI) onto stretchable elastomer nanomeshes, demonstrating low weight, intimate connection with skin, stable performance, and continuous recording of complex movements.
ADVANCED MATERIALS
(2021)
Review
Chemistry, Multidisciplinary
Tomoyuki Yokota, Kenjiro Fukuda, Takao Someya
Summary: Flexible image sensors are gaining attention as new imaging devices due to their lightness, softness, and bendability. They offer high-accuracy continuous biometric information measurement directly attached to curved surfaces like skin, with potential applications in wearable devices and home medical care. The individual components, performance evaluation parameters, and real-world measurement cases of these sensors in the biomedical field are discussed.
ADVANCED MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Sunyoung Yoon, Yong Jun Kim, Yu Rim Lee, Nae-Eung Lee, Yoochan Won, Srinivas Gandla, Sunkook Kim, Han-Ki Kim
Summary: Researchers successfully fabricated high-performance stretchable and semi-transparent Ag-PTFE conductors on polyurethane substrates with excellent stretchability, low sheet resistance, and optical transparency. The Ag-PTFE conductor can be used as a stretchable interconnector for commercial ELs, LEDs, and strain sensors, as well as in touch panels, electromyography sensors, wearable and self-cleaning devices.
NPG ASIA MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Quanduo Liang, Xiangjiao Xia, Xiguang Sun, Dehai Yu, Xinrui Huang, Guanghong Han, Samuel M. Mugo, Wei Chen, Qiang Zhang
Summary: This study utilizes microgels as large crosslinking centers in hydrogel networks to produce hydrogels that closely match the chemomechanical properties of neural tissues. These hydrogels exhibit low modulus, good stretchability, and outstanding fatigue resistance, making them suitable for wearable and implantable sensors. The hydrogels can obtain physiological signals and be successfully implanted in rats for a long-term period. This work contributes to a deeper understanding of biohybrid interfaces and advances the design concepts for implantable neural probes that efficiently obtain physiological information.
Article
Materials Science, Multidisciplinary
Jing Chen, Jiadeng Zhu, Zhongrui Wei, Ziwei Chen, Chunhong Zhu, Qiang Gao, Chunxia Gao
Summary: This work proposes a novel, eco-friendly technique to continuously produce self-helical conductive PEDOT:PSS fibers with high breaking tensile elongation, superior electrical conductivity, and remarkable elasticity. The morphology and performance of self-helical fibers can be optimized by tuning the metal salt concentrations in the coagulation bath, spinning speeds, and needle inner diameter. Additionally, finite element software (Ansys) was used to model the fibers under stress. The optimal fibers possess excellent sensitivity and cycle stability, suitable for accessible human-computer interfaces and next-generation flexible electronics.
JOURNAL OF MATERIALS CHEMISTRY C
(2023)
Article
Materials Science, Multidisciplinary
Tao Yang, Xi Wang, Qian Yang, Xudong Yang, Qiao Li
Summary: The bioinspired temperature-sensitive yarn exhibits excellent temperature resistance, sensitivity, and repeatability, while being able to withstand large strain and maintain electrical integrity. Increasing the coverage degrees improves the temperature coefficient of resistance and thermal response velocity. This yarn can be implemented in healthcare for continuous monitoring of skin temperature.
ADVANCED MATERIALS TECHNOLOGIES
(2021)
Article
Chemistry, Physical
Zhanxu Liu, Chenchen Li, Xiaofeng Zhang, Hongxing Xu, Yanfen Zhou, Mingwei Tian, Shaojuan Chen, Stephen Jerrams, Feng-Lei Zhou, Liang Jiang
Summary: In this study, a silicone blocked polyurethane (Si-BPU) with high stretchability and degradability was synthesized and composited with carbon nanotubes (CNTs) to fabricate fibrous strain sensors. The strain sensor exhibited a wide strain sensing range, high sensitivity, and rapid response time, making it suitable for monitoring various human body movements. This work provides a new and effective strategy for the development of sustainable wearable electronic devices.
Article
Chemistry, Physical
Zhanxu Liu, Chenchen Li, Xiaofeng Zhang, Hongxing Xu, Yanfen Zhou, Mingwei Tian, Shaojuan Chen, Stephen Jerrams, Feng-Lei Zhou, Liang Jiang
Summary: Flexible strain sensors with wide workable strain ranges and high sensitivity are in great demand for intelligent wearable electronics. However, the fabrication of such strain sensors remains challenging, and the use of polymer composites has led to a significant amount of e-waste. To address these issues, this work synthesized a silicone blocked polyurethane (Si-BPU) with high stretchability and degradability and composited it with carbon nanotubes (CNTs) to fabricate fibrous strain sensors. The resulting Si-BPU/12CNTs strain sensor exhibited a wide sensing range, high gauge factor, reliable stability, and rapid response time, making it suitable for monitoring various human body movements.
Article
Materials Science, Multidisciplinary
Fatemeh Mokhtari, Geoffrey M. Spinks, Sepidar Sayyar, Zhenxiang Cheng, Arjang Ruhparwar, Javad Foroughi
Summary: This article introduces a new method to create wearable energy generators and sensors using nanostructured hybrid fibers, which have high stretchability and achieve higher voltage output and power density. The developed coiled piezoelectric fibers show a peak power density 2.5 times higher than previously reported piezoelectric textiles, with an energy conversion efficiency of 22.5%. The prototype wearable device based on hybrid piezofibers demonstrates efficient energy harvesting and real-time healthcare monitoring.
ADVANCED MATERIALS TECHNOLOGIES
(2021)
Article
Chemistry, Physical
Xinqin Liao, Wensong Wang, Liang Wang, Haoran Jin, Lin Shu, Xiangmin Xu, Yuanjin Zheng
Summary: The study introduces a highly stretchable and deformation-insensitive bionic electronic exteroceptive neural sensor, fabricated from polyester thread coated with carbon nanotubes. This sensor features all-in-one bionic multifunctional characteristics, high stretchability, and unprecedented deformation-insensitive functional property, allowing it to continuously function even under significant stretching.
Review
Chemistry, Multidisciplinary
Mingyu Nie, Boxiao Li, You-Lo Hsieh, Kun Kelvin Fu, Jian Zhou
Summary: This article summarizes the latest developments and applications of continuous, one-dimensional stretchable conductors. It discusses the materials, methodologies, fabrication processes, and challenges in this field, as well as presents perspectives for improving the performance of stretchable conductors.
Article
Materials Science, Multidisciplinary
James Davies, Mai Thanh Thai, Trung Thien Hoang, Chi Cong Nguyen, Phuoc Thien Phan, Hoang-Phuong Phan, Nigel H. Lovell, Thanh Nho Do
Summary: Drawing inspiration from evolutionary biology, soft robots are starting to adopt compliant materials and structures for better interactions with humans and complex environments. However, there has been a lack of progress in the development of sensing mechanisms. This paper introduces a novel hydraulic soft filament sensor (SFS) that is inspired by the human body's ability to tune its morphology for interaction. The SFS is a tubular strain sensor that utilizes an incompressible fluid-filled micro-sized filament as its sensing core, allowing for tunable sensitivity. Different configurations of the SFS have been fabricated and experimentally validated, demonstrating its scalable and versatile nature for wearable and medical applications.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Materials Science, Multidisciplinary
Ravi Prakash Verma, Prateekshya Suman Sahu, Mitesh Rathod, Soumya Sanjeeb Mohapatra, Junghoon Lee, Biswajit Saha
Summary: Flexible strain sensors using reduced graphene oxide and silicone sealant have shown high sensitivity, durability, and wide detection range, making them suitable for wearable devices. These sensors with ultra-high gauge factor and high stretchability can be used to monitor physical activities, heartbeats, and finger touches with sub-second response time.
MACROMOLECULAR MATERIALS AND ENGINEERING
(2022)
Review
Chemistry, Multidisciplinary
Giwon Lee, Mohammad Zarei, Qingshan Wei, Yong Zhu, Seung Goo Lee
Summary: Recent advances in nanolithography, miniaturization, and material science, along with developments in wearable electronics, have pushed sensor technology to fabricate highly sensitive, flexible, stretchable, and multimodal detection systems. Surface wrinkling, as an effective alternative, improves the sensing performance and mechanical deformability of flexible and stretchable sensors by releasing stress, preventing failure, and enlarging surface areas. This study discusses the recent developments in wrinkling structures for sensor applications, including the mechanics, geometry control, and fabricating methods. It reviews the current state and impact on various sensor types, such as strain, pressure, temperature, chemical, photodetectors, and multimodal sensors. The study also extrapolates the existing wrinkling approaches, designs, and sensing strategies into future applications.
Review
Automation & Control Systems
Olatunji Mumini Omisore, Shipeng Han, Jing Xiong, Hui Li, Zheng Li, Lei Wang
Summary: Flexible robotic systems have been developed to enhance minimally invasive interventions on internal organs. Although several prototypes have been proposed, their global acceptability and applicability remain low. Design constraints and control methods are vital for safer, faster, and better operation of these systems in minimally invasive surgery.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Review
Chemistry, Multidisciplinary
Yuewu Tan, Xuehong Liu, Wei Tang, Jing Chen, Zhengfang Zhu, Lin Li, Nian Zhou, Xiaoyang Kang, Dongliang Xu, Lei Wang, Guixue Wang, Hui Tan, Hui Li
Summary: This paper summarizes various types of flexible pressure sensors with bionic structures developed in recent years. After introducing the latest advancements in flexible pressure sensors, it focuses on substrate and active materials, sensing mechanisms, key parameters, and sensitivity optimization strategies, as well as various bionic microstructures applied to flexible pressure sensors and their performance characterization.
ADVANCED MATERIALS INTERFACES
(2022)
Article
Instruments & Instrumentation
Zhenghua Huang, Xuan Li, Lei Wang, Hao Fang, Lei Ma, Yu Shi, Hanyu Hong
Summary: This paper proposes a spatially adaptive multi-scale image enhancement scheme that can simultaneously consider detail preservation, contrast enhancement, and brightness improvement. By decomposing the image into multi-scale layers, proposing a spatially adaptive Gamma correction strategy, and an adaptive enhancement operator, a high-contrast optical infrared image is obtained.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Chemistry, Physical
Wenrong Yan, Haibo Hu, Lei Wang, Derek Ho
Summary: This paper presents a method utilizing dual laser pyrolysis to improve the defects and morphology of laser-induced graphene electrodes, leading to enhanced electrochemical performance. The study also demonstrates the fabrication of a flexible and self-healable microsupercapacitor based on the improved electrodes.
Article
Computer Science, Artificial Intelligence
Olatunji Mumini Omisore, Toluwanimi Oluwadara Akinyemi, Wenjing Du, Wenke Duan, Rita Orji, Thanh Nho Do, Lei Wang
Summary: This study proposes a weighting-based deep ensemble model for recognizing hand motions in intravascular catheterization. The model extracts features from electromyography data and uses machine learning methods to classify hand gestures. Results show the model achieves high recognition performances and has stable performance across different hand motion classes.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang
Summary: Emotional recognition through exploring EEG characteristics with nonlinear analysis and feature extraction methods has been proposed. The study utilizes phase space reconstruction (PSR) and topological data analysis (TDA) to build emotion feature vectors and achieve high recognition accuracies.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Toluwanimi Oluwadara Akinyemi, Olatunji Mumini Omisore, Wenjing Du, Wenke Duan, Xing-Yu Chen, Guanlin Yi, Lei Wang
Summary: This study proposes a deep learning-based model for identifying operators' actions in robot-assisted percutaneous coronary intervention (R-PCI) trials. The model achieves a 92%-96% accuracy in identifying five actions across four clusters compared with a recognition performance of 83% when recognizing all six actions.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Yan Yan, Yi-Chun Huang, Jinjin Zhao, Yu-Shi Liu, Liang Ma, Jing Yang, Xu-Dong Yan, Jing Xiong, Lei Wang
Summary: This work presents a novel approach using topological descriptors of the shape of the dynamical attractor for dynamical system measurements in human physical activity analysis. The proposed framework has three essential advantages: it derives the dynamics descriptor from the observation time series without statistical assumption, describes the phase space topological properties in an intrinsic multiresolution analytical way using topological data analysis, and shows stability in activities state inference with different types of measurement sensing signals. The topological characteristics of the reconstructed phase state space demonstrate strong representational ability for activity type inference in physical activity recognition tasks with wearable sensors.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yan Yan, Liang Ma, Yu-Shi Liu, Kamen Ivanov, Jia-Hong Wang, Jing Xiong, Ang Li, Yini He, Lei Wang
Summary: This article proposes a method for recognizing mental workload through topological investigation of brain functional connectivity network. Graph-filtration-based features are extracted using the persistent homology technique to reveal brain state variations. The experimental results demonstrate excellent distinguishing ability of the proposed method in brain state recognition. This work is the first investigation of EEG-based mental workload evaluation using persistent homology analysis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Artificial Intelligence
Jingzhen Li, Jingjing Ma, Olatunji Mumini Omisore, Yuhang Liu, Huajie Tang, Pengfei Ao, Yan Yan, Lei Wang, Zedong Nie
Summary: In this article, a novel multi-modal framework based on electrocardiogram (ECG) and photoplethysmogram (PPG) signal fusion is constructed for universal blood glucose (BG) monitoring. The framework utilizes a spatiotemporal decision fusion strategy with weight-based Choquet integral for BG monitoring. The proposed model achieves excellent BG monitoring performance with an RMSE of 1.49 mmol/L, MARD of 13.42%, and Zone A + B of 99.49% in tenfold cross-validation. It demonstrates the potentials of the fusion approach for practical applications in diabetes management.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Lu Gan, Wenke Duan, Toluwanimi Oluwadara Akinyemi, Wenjing Du, Olatunji Mumini Omisore, Lei Wang
Summary: This study proposes a design for a one-dimensional distal force sensor for minimally invasive surgery (MIS) based on the fiber Bragg grating (FBG) sensing principle. The sensor showed good performance in terms of measurement range and accuracy through experiments and theoretical analysis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Review
Computer Science, Artificial Intelligence
Bolanle Adefowoke Ojokoh, Benjamin Aribisala, Oluwafemi A. A. Sarumi, Arome Gabriel, Olatunji Omisore, Abiola Ezekiel Taiwo, Tobore Igbe, Uchechukwu Madukaku Chukwuocha, Tunde Yusuf, Abimbola Afolayan, Olusola Babalola, Tolulope Adebayo, Olaitan Afolabi
Summary: This review analyzes the key elements of digital contact tracing strategies developed for the prevention and containment of COVID-19. The majority of studies published in 2020 suggest increased awareness and research efforts towards this issue, indicating a high priority given to the pandemic.
BIG DATA AND COGNITIVE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Toluwanimi O. Akinyemi, Olatunji M. Omisore, Gan Lu, Lei Wang
Summary: Coronary heart disease is a major global health risk, and there is a need for innovative diagnosis and treatment methods. Fiber Bragg grating-based technique shows promise in enhancing robot-assisted cardiac procedures for CHD.
IEEE SENSORS LETTERS
(2022)
