Multifunctional, breathable MXene-PU mesh electronic skin for wearable intelligent 12-lead ECG monitoring system

Cui, Tianrui; Qiao, Yancong; Li, Ding; Huang, Xiao-Rui; Yang, Le; Yan, An-Zhi; Chen, Zhikang; Xu, Jiandong; Tan, Xichao; Jian, Jinming; Li, Zhen; Ji, Shourui; Liu, Houfang; Yang, Yi; Zhang, Xuegong; Ren, Tian‐Ling

doi:10.1016/j.cej.2022.140690

Cited by 35 publications

(29 citation statements)

References 53 publications

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“…A flexible, comfortable, and breathable electronic skin can be used for long-term daily physiological signal monitoring and diagnosis; this smart wearable ECG system is a "portable doctor" that monitors health at any place and time. [91] Ongoing developments in bioenergy-based closed-loop systems will revolutionize medical treatment with flexible and wearable smart devices that were previously possible only in science fiction stories. Personal lives will gradually be filled with masks that analyze emotional value, contact lenses that relieve intraocular pressure and treat eye disease, smart bandaids that release medicines on demand, and other innovations.…”

Section: Bioenergy-based Closed-loop Medical Systemmentioning

confidence: 99%

“…This electronic skin is suitable for detecting physiological signals such as pulse, sound, and joint movement. [ 91 ] A self‐powered wearable sweat analysis system was designed to enable the wireless monitoring of concentration fluctuations of Na + and K + in sweat. [ 92 ] Wearable stress‐monitoring devices can extract real‐time vital signs such as heart rate, respiratory rate, and blood pressure to detect patient status regarding venous thromboembolism, arrhythmia, seizure detection, stress assessment, and sleep [64b,93] .…”

Section: Treatment‐monitoring‐feedback In a Closed‐loop Medical Systemmentioning

confidence: 99%

Section: Treatment‐monitoring‐feedback In a Closed‐loop Medical Systemmentioning

confidence: 99%

mentioning

confidence: 99%

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Bioenergy‐Based Closed‐Loop Medical Systems for the Integration of Treatment, Monitoring, and Feedback

Zhang,

Chen,

Zhou

et al. 2023

Small Science

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Wearable healthcare systems have captured the interest of researchers because they enable smarter and more personalized healthcare. However, these systems are limited by a separation between biosensors and therapeutic units that results in interrupted treatment and compromised patient recovery. It is therefore imperative to develop wearable closed‐loop medical devices that fully integrate physiological/pathological monitoring, signal feedback detection, diagnostics, and on‐demand therapeutic administration. Such systems require safe, sustainable, and continuously operating power sources, and bioenergy has gained attention in this regard because it can be sourced continuously from the human body without requiring substantial rigid energy storage space. The effective utilization of bioenergy would enable the realization of a self‐driven closed‐loop medical system with treatment‐monitoring feedback.

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Section: Bioenergy-based Closed-loop Medical Systemmentioning

confidence: 99%

Section: Treatment‐monitoring‐feedback In a Closed‐loop Medical Systemmentioning

confidence: 99%

Section: Treatment‐monitoring‐feedback In a Closed‐loop Medical Systemmentioning

confidence: 99%

mentioning

confidence: 99%

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Bioenergy‐Based Closed‐Loop Medical Systems for the Integration of Treatment, Monitoring, and Feedback

Zhang,

Chen,

Zhou

et al. 2023

Small Science

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show abstract

“…To address this challenge, suitable compensation or recognition algorithms have been developed, [36][37][38][39][40] such as traditional machine learning algorithms (support vector machine, [41] K nearest neighbor, [42] and linear discriminant analysis [43] ) and deep learning algorithms (artificial neural networks, [44] convolutional neural networks [CNNs], [45] and CNN-long short-term memory network [CNN-LSTM]). [46,47] These methods have proven effective in improving the accuracy in the application of static gesture or repetitive gait motion (walking and running) recognitions. Moreover, full-body complex motion recognition is required in real application scenarios, such as virtual reality (VR)/augmented reality (AR), medical rehabilitation training, and smart sports exercises.…”

Section: Introductionmentioning

confidence: 99%

Wearable Recognition System for Complex Motions Based on Hybrid Deep‐Learning‐Enhanced Strain Sensors

Nie,

Chen,

Wen

et al. 2023

Advanced Intelligent Systems

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Wearable recognition systems based on flexible electronics present immense potential for applications in human–machine interfaces, medical care, soft robots, etc. However, they experience challenges in terms of the nonideal consistency and stability of flexible sensors, which are responsible for detecting physical signals from human motions. These challenges hinder the improvement of recognition precision and capability in the wearable systems. Furthermore, the computational consumption for the recognition increases as more sensors are used to extensively gather information for distinguishing between complex motions. Herein, a wearable recognition system based on deep‐learning‐enhanced strain sensors for distinguishing between the complex motions of the human body is presented. A strain sensor based on peak–valley microstructures is fabricated and packaged to improve consistency and stability. Moreover, a lightweight hybrid convolutional neural network long short‐term memory model is designed to lower the computational costs of the deep learning process. In particular, by designing Butterworth filtering and Z‐score normalization algorithms, the error in feature extraction caused by sensor signal fluctuation is reduced, thereby improving the recognition accuracy of the proposed wearable system to 95.72% for seven gait motions and 100% for four different continuous series of Tai Chi forms.

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Organic Flexible Electronics for Innovative Applications in Electronic Skin

Liu,

Li,

Tao

et al. 2024

Adv Materials Technologies

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The emergence of cutting‐edge cross‐disciplines has motivated the rapid development of wearable technology and flexible electronics. The flexibility and tunable properties of organic materials enable organic flexible electronics to adapt to complex surface deformations and achieve sensitive detection of physiological signals. The cost‐effectiveness of organic materials in mass production offers additional possibilities for the practical and commercialization of e‐skin technology. However, how to ensure stability and long‐term reliability while maintaining a highly sensitive, flexible, and stretchable is a challenge for e‐skins. In this review, the research progress and development trend of e‐skin is systematically summarized, especially the latest breakthroughs and innovations in the frontier of organic flexible electronics, and systematically review the applications of e‐skin in sensors, physiological monitoring, and energy supply. In addition, the review further discusses the prospects and current challenges for the application of organic flexible electronics in e‐skin, which provides a one‐stop reference for the development of e‐skin.

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Multifunctional, breathable MXene-PU mesh electronic skin for wearable intelligent 12-lead ECG monitoring system

Cited by 35 publications

References 53 publications

Bioenergy‐Based Closed‐Loop Medical Systems for the Integration of Treatment, Monitoring, and Feedback

Bioenergy‐Based Closed‐Loop Medical Systems for the Integration of Treatment, Monitoring, and Feedback

Wearable Recognition System for Complex Motions Based on Hybrid Deep‐Learning‐Enhanced Strain Sensors

Organic Flexible Electronics for Innovative Applications in Electronic Skin

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