Nano Energy, Год журнала: 2024, Номер unknown, С. 110321 - 110321
Опубликована: Окт. 1, 2024
Язык: Английский
Advanced Materials, Год журнала: 2024, Номер 36(31)
Опубликована: Май 17, 2024
Abstract Electronic skin (e‐skin), a skin‐like wearable electronic device, holds great promise in the fields of telemedicine and personalized healthcare because its good flexibility, biocompatibility, conformability, sensing performance. E‐skin can monitor various health indicators human body real time over long term, including physical (exercise, respiration, blood pressure, etc.) chemical (saliva, sweat, urine, etc.). In recent years, development materials, analysis, manufacturing technologies has promoted significant e‐skin, laying foundation for application next‐generation medical devices. Herein, properties required e‐skin monitoring devices to achieve long‐term precise summarize several detectable field are discussed. Subsequently, applications integrated systems reviewed. Finally, current challenges future directions this This review is expected generate interest inspiration improvement systems.
Язык: Английский
Процитировано
40
Materials Futures, Год журнала: 2024, Номер 3(2), С. 022501 - 022501
Опубликована: Март 6, 2024
Abstract Human skin perceives external environmental stimulus by the synergies between subcutaneous tactile corpuscles. Soft electronics with multiple sensing capabilities mimicking function of human are significance in health monitoring and artificial sensation. The last decade has witnessed unprecedented development convergence multimodal devices soft bioelectronics. Despite these advances, traditional flexible achieve for pressure, strain, temperature, humidity integrating monomodal together. This strategy results high energy consumption, limited integration, complex manufacturing process. Various sensors crosstalk-free mechanisms have been proposed to bridge gap natural sensory system perceptual system. In this review, we provide a comprehensive summary mechanism, integration design principles, signal-decoupling strategies, current applications perception. Finally, highlight challenges present future perspectives promote
Язык: Английский
Процитировано
16
Advanced Functional Materials, Год журнала: 2024, Номер unknown
Опубликована: Июнь 16, 2024
Abstract The measurement accuracy of current wearable pulse sensors is grandly challenged by motion artifacts caused body biomechanical activities. In this study, a honeycomb‐structure‐inspired sensor reported which not only performs ambulant cardiovascular monitoring but also realizes biometric authentication utilizing the acquired individual wave profiles. showcases an impressive sensitivity 46.2 mV Pa −1 , swift response time 21 ms, and exceptional durability (minimal degradation after 6000 cycles). For practical application in clinical settings, able to record signals continuously accurately from individuals aged between 27 57 years, especially including 29‐year‐old pregnant woman. Leveraging deep learning algorithms, further utilizes profiles for authentication, reaching classification up 99.4%. marks significant advancement field authentication.
Язык: Английский
Процитировано
16
RSC Advances, Год журнала: 2025, Номер 15(10), С. 7844 - 7854
Опубликована: Янв. 1, 2025
Wearable sensors have emerged as a transformative technology, enabling real-time monitoring and advanced functionality in various fields, including healthcare, human–machine interaction, environmental sensing.
Язык: Английский
Процитировано
1
Chemical Engineering Journal, Год журнала: 2024, Номер 495, С. 153525 - 153525
Опубликована: Июнь 27, 2024
Язык: Английский
Процитировано
7
Advanced Functional Materials, Год журнала: 2024, Номер 34(49)
Опубликована: Авг. 27, 2024
Abstract Humans can grab and identify objects by capturing the features of physical shape, temperature, material. However, creating artificial sensors with finger‐like tactile capabilities is challenging due to contradiction between structural compliance multifunctional sensing. Here, a sensory system for robot hand that achieve object recognition reported. The sensor simple horizontal sensing structure respond strain, material, temperature stimuli using piezoresistive, triboelectric, thermoelectric effects. A machine learning algorithm train classify signals, enabling high accuracy 98.5% in recognizing five also developed. This work contributes development systems soft robotics.
Язык: Английский
Процитировано
6
Advanced Energy and Sustainability Research, Год журнала: 2024, Номер unknown
Опубликована: Сен. 2, 2024
Clean energy has emerged as the focal point of global and power development. With advancement 5G technology Internet Things (IoT), demand for sustainable supply become more pressing, leading to widespread attention vibration harvesting technology. This enables conversion vibrational from natural phenomena such ocean waves wind, well machinery operation human activities, into electrical energy, thus supporting expansion self‐sustained IoT systems. review provides an overview progress in discusses integration this with self‐powered sensors artificial intelligence. These integrations are reflected enhanced accuracy environmental monitoring, increased efficiency intelligent transportation industrial production, improved quality life through healthcare smart home. Such applications demonstrate significant potential promoting sustainability elevating level living. In summary, exploring applying support autonomous devices is key building a sustainable, intelligent, interconnected world.
Язык: Английский
Процитировано
6
Advanced Functional Materials, Год журнала: 2024, Номер unknown
Опубликована: Окт. 8, 2024
Abstract The combination of fluidity and metallic conductivity has attracted considerable attention to liquid metal (LM), but its development remains challenging due enormous surface tension. Here, vinyl‐terminated silicone oil platinum catalyst are added LM reduce tension, which develops a special type liquid‐metal‐silicone (LMS) ink with diffusion effect. Combined an embedded three‐dimentional (3D) printing method, the LMS is printed on support matrix, diffuses outward along print path cure around it, directly constructing self‐encapsulated conductive composites excellent flexible tactile sensors based triboelectric nanogenerator (TENG). sensor exhibits sensitivity (0.308 V kPa −1 ), high linearity (≈0.99), good durability (over 10 000 cycles). Furthermore, when used in wearable electronics, demonstrates performance accuracy ≈96% classifying different human postures using convolutional neural network. Finally, through 3D ink, somatosensory soft robotic gripper complex cavity structures designed manufactured one step, achieving all‐in‐one integration actuators. This study shows great application potential electronics systems.
Язык: Английский
Процитировано
6
Biomedicines, Год журнала: 2024, Номер 12(10), С. 2307 - 2307
Опубликована: Окт. 11, 2024
E-skin is a bionic device with flexible and intelligent sensing ability that can mimic the touch, temperature, pressure, other functions of human skin. Because its flexibility, breathability, biocompatibility, characteristics, it widely used in health management, personalized medicine, disease prevention, pan-health fields. With proposal new principles, development advanced functional materials, microfabrication technology, integration artificial intelligence algorithms, e-skin has developed rapidly. This paper focuses on fundamentals, key technologies, their specific applications exercise monitoring, emotion heart etc. needs to have healthcare field. In addition, significance infant child care, elderly assistive devices for disabled analyzed. Finally, current challenges future directions field are discussed. It expected this review will generate great interest inspiration improvement novel e-skins monitoring systems.
Язык: Английский
Процитировано
6
Wearable electronics., Год журнала: 2024, Номер 1, С. 78 - 90
Опубликована: Май 17, 2024
Hypertension significantly contributes to the widespread occurrence of cardiovascular disease globally. Routine portable blood pressure monitoring is crucial for prevention and screening hypertension. Nevertheless, bulky nature cuff sphygmomanometers commonly used in clinical settings causes discomfort patients. Wearable cuffless has received significant attention as a result. Advances flexible electronics machine learning have provided new impetus development wearable monitoring, offering potential solutions these challenges. Here, we review theoretical foundations, sensors back-end signal processing from full-process perspective, particularly emphasizes developments introduced by learning. Flexible mechanical sensors, optical ultrasonic electrodes efficiently capture signals related pressure, while enabled accurately analyzes raw into waveforms. Finally, future challenges opportunities are envisioned.
Язык: Английский
Процитировано
4