Protrusion Microstructure-Induced Sensitivity Enhancement for Zinc Oxide–Carbon Nanotube Flexible Pressure Sensors

Huang, Qi; Jiang, Yadong; Duan, Zaihua; Yuan, Zhen; Liu, Bohao; Zhang, Yajie; Zhao, Qiuni; Li, Yongliang; Tai, Huiling

doi:10.1021/acsaelm.1c00930

Cited by 32 publications

(7 citation statements)

References 52 publications

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“…We also compared the sensing performance of our proposed piezoresistive sensor with other reported literature results, as shown in Figure g (the detailed sensitivity and the corresponding linearity range as well as the employed materials are listed in Table ). With the simultaneously realized high sensitivity and ultrawide linearity range, our proposed sensor is competitive with these state-of-the-art reported sensors. ,,,− ,− It is worthwhile to note that the optimized sensing performance of our proposed sensor originated from the codeformation of the piezoresistive layer with the coupling effect of elastic modulus and conductivity. Such a unique mechanism avoids the high dependence on the complex design of materials and structures.…”

Section: Resultsmentioning

confidence: 88%

Simultaneous Optimization of Sensitivity and Linearity for Flexible Pressure Sensor via Coupling Effect between Microstructures and Flat Substrate Component

Liu,

Ji,

Lei

et al. 2023

ACS Appl. Electron. Mater.

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Flexible piezoresistive pressure sensors with the advantages of a simple structure and facile signal acquisition have attracted considerable interest in various application fields. Although the piezoresistive layers have been widely explored to develop high-performance sensors, the trade-off between sensitivity and linearity has yet to be fully resolved. In this work, a CNT/ PDMS-based piezoresistive layer with the coupling effect of the microdomes and the flat substrate component is proposed to simultaneously optimize the sensitivity and linearity range of piezoresistive sensors. Different from conventional dome-based piezoresistive layers, the microdomes and substrate of the proposed layer can be codeformed to compensate for the resistance variation attenuation resulting from the stiffening effect of compressed soft materials. Upon the appropriate conductivity and elastic modulus of the piezoresistive layer, the sensitivity and linearity range of the sensor can be improved simultaneously. Moreover, the coupling effect of the microdomes and the substrate can be regulated by constructing gradient conductivity and elastic modulus, which enables further optimization of the sensing performance with a high sensitivity of 70.42 kPa −1 in an ultrawide linearity range of 0−950 kPa (R 2 = 0.99). The excellent sensing performance enables the sensor as a diverse wearable platform, which can not only precisely monitor various physiological signals (e.g., finger bending, walking, running, etc.) but also transmit Morse code information by simply switching the finger bending behaviors. We believe that the proposed sensor along with the optimization strategy can be of great potential for developing high-performance piezoresistive sensors for versatile wearable applications in the future.

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Section: Resultsmentioning

confidence: 88%

Simultaneous Optimization of Sensitivity and Linearity for Flexible Pressure Sensor via Coupling Effect between Microstructures and Flat Substrate Component

Liu,

Ji,

Lei

et al. 2023

ACS Appl. Electron. Mater.

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“…[15,16] To achieve higher sensitivity, the architectural design has been incorporated into sensor development. [17] The microstructures are designed to amplify mechanical loading effects. Such microstructures include geometry structures such as the dome, [18] wave, [4] pillar, [19] fibers, [20] and pyramid [21] shapes; bionic patterns such as banana leaves, [22] petals of rose, [23] and mimosa [24] ; object surfaces such as silk, [25] paper, [26][27][28] and sandpaper.…”

Section: Introductionmentioning

confidence: 99%

Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures

Liu

Liang

et al. 2023

Advanced Intelligent Systems

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Rapid advances in wearable sensing technology have demonstrated unprecedented opportunities for artificial intelligence. In comparison with the traditional hand‐held electrolarynx, a wearable and intelligent artificial throat with sound‐sensing ability is a more comfortable and versatile method to assist disabled people with communication. Herein, a piezoresistive sensor with a novel configuration is demonstrated, which consists of polystyrene (PS) spheres as microstructures sandwiched between silver nanowires and reduced graphene oxide layers. In fact, changes in the device's conducting patterns are obtained by spay‐coating the various weight ratios and sizes of the PS microspheres, which is a fast and convenient way to establish microstructures for improving sensitivity. The wearable artificial throat device also exhibits high sensitivity, fast response time, and ultralow intensity level detection. Moreover, the device's excellent mechanical–electrical performance allows it to detect subtle throat vibrations that can be converted into controllable sounds. In this case, an intelligent artificial throat is achieved by combining a deep learning algorithm with a highly flexible piezoresistive sensor to successfully recognize five different words (help, sick, patient, doctor, and COVID) with an accuracy exceeding 96%. Herein, new opportunities in voice control as well as other human‐machine interface applications are opened.

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“…The wear resistance, long life and stability required for this stage are still lacking (Christoe et al ., 2019; Li and Ding, 2019). Traditional wearable medical electronic devices are commonly used to monitor and record personal vital signs and treatment processes on the human body (Huang et al ., 2021; Jiang et al ., 2019). Currently, it is still rare to create a medical wearable electronic device that is cost-effective, robust and comfortable to continuously measure human health status and can be transmitted to clinical use.…”

Section: Introductionmentioning

confidence: 99%

Wearable real-time multi-health parameter monitoring system

Qin,

Xue,

Peng

et al. 2023

IJCST

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PurposeThe purpose of this study is to design a wearable medical device as a human care platform and to introduce the design details, key technologies and practical implementation methods of the system.Design/methodology/approachA multi-channel data acquisition scheme based on PCI-E (rapid interconnection of peripheral components) was proposed. The flexible biosensor is integrated with the flexible data acquisition card with monitoring capability, and the embedded (device that can operate independently) chip STM32F103VET6 is used to realize the simultaneous processing of multi-channel human health parameters. The human health parameters were transferred to the upper computer LabVIEW by intelligent clothing through USB or wireless Bluetooth to complete the transmission and processing of clinical data, which facilitates the analysis of medical data.FindingsThe smart clothing provides a mobile medical cloud platform for wearable medical through cloud computing, which can continuously monitor the body's wrist movement, body temperature and perspiration for 24 h. The result shows that each channel is completely accurate to the top computer display, which can meet the expected requirements, and the wearable instant care system can be applied to healthcare.Originality/valueThe smart clothing in this study is based on the monitoring and diagnosis of textiles, and the electronic communication devices can cooperate and interact to form a wearable textile system that provides medical monitoring and prevention services to individuals in the fastest and most accurate way. Each channel of the system is precisely matched to the display screen of the host computer and meets the expected requirements. As a real-time human health protection platform technology, continuous monitoring of human vital signs can complete the application of human motion detection, medical health monitoring and human–computer interaction. Ultimately, such an intelligent garment will become an integral part of our everyday clothing.

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Protrusion Microstructure-Induced Sensitivity Enhancement for Zinc Oxide–Carbon Nanotube Flexible Pressure Sensors

Cited by 32 publications

References 52 publications

Simultaneous Optimization of Sensitivity and Linearity for Flexible Pressure Sensor via Coupling Effect between Microstructures and Flat Substrate Component

Simultaneous Optimization of Sensitivity and Linearity for Flexible Pressure Sensor via Coupling Effect between Microstructures and Flat Substrate Component

Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures

Wearable real-time multi-health parameter monitoring system

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