Nano Energy, Год журнала: 2023, Номер 121, С. 109244 - 109244
Опубликована: Дек. 29, 2023
Язык: Английский
Nano Energy, Год журнала: 2023, Номер 121, С. 109244 - 109244
Опубликована: Дек. 29, 2023
Язык: Английский
Bioelectronic Medicine, Год журнала: 2023, Номер 9(1)
Опубликована: Авг. 2, 2023
The fourth industrial revolution has led to the development and application of health monitoring sensors that are characterized by digitalization intelligence. These have extensive applications in medical care, personal management, elderly sports, other fields, providing people with more convenient real-time services. However, these face limitations such as noise drift, difficulty extracting useful information from large amounts data, lack feedback or control signals. artificial intelligence provided powerful tools algorithms for data processing analysis, enabling intelligent monitoring, achieving high-precision predictions decisions. By integrating Internet Things, intelligence, sensors, it becomes possible realize a closed-loop system functions collection, online diagnosis, treatment recommendations. This review focuses on healthcare enhanced technologies aspects materials, device structure, integration, scenarios. Specifically, this first introduces great advances wearable respiration rate, heart pulse, sweat, tears; implantable cardiovascular nerve signal acquisition, neurotransmitter monitoring; soft electronics precise therapy. Then, recent volatile organic compound detection highlighted. Next, current developments human-machine interfaces, AI-enhanced multimode self-sustainable systems reviewed. Last, perspective future directions further research is also provided. In summary, fusion will provide intelligent, convenient, secure services next-generation biomedical applications.
Язык: Английский
Процитировано
95Chemical Engineering Journal, Год журнала: 2024, Номер 490, С. 151874 - 151874
Опубликована: Май 3, 2024
Язык: Английский
Процитировано
23Materials Advances, Год журнала: 2023, Номер 4(23), С. 5882 - 5919
Опубликована: Янв. 1, 2023
Machine learning techniques for the development of neuromorphic materials bioengineering solutions by developing energy-efficient hardware, enhancing neuron models, and algorithms.
Язык: Английский
Процитировано
23ACS Biomaterials Science & Engineering, Год журнала: 2024, Номер 10(3), С. 1262 - 1301
Опубликована: Фев. 20, 2024
The rapid maturation of smart city ecosystems is intimately linked to advances in the Internet Things (IoT) and self-powered sensing technologies. Central this evolution are battery-less sensors that critical for applications such as continuous health monitoring through blood metabolites vital signs, recognition human activity behavioral analysis, operational enhancement humanoid robots. focus on biosensors exploit body energy-spanning wearable, attachable, implantable variants has intensified, driven by their broad applicability areas from underwater exploration biomedical assays earthquake monitoring. heart these lies diverse energy harvesting mechanisms, including biofuel cells, piezoelectric, triboelectric, pyroelectric nanogenerators. Notwithstanding wealth research, literature still lacks a holistic review integrates design challenges implementation intricacies sensors. Our seeks fill gap thoroughly evaluating strategies both material structural perspectives assessing roles powering an array myriad uses. This offers comprehensive outlook state devices, tackling nuances deployment highlighting potential revolutionize data gathering autonomous systems. intent chart current landscape future prospects, providing pivotal reference point ongoing research innovation wireless
Язык: Английский
Процитировано
14Nano Energy, Год журнала: 2024, Номер 126, С. 109672 - 109672
Опубликована: Апрель 28, 2024
Язык: Английский
Процитировано
14Small, Год журнала: 2024, Номер 20(34)
Опубликована: Апрель 2, 2024
Abstract Developing a robust artificial intelligence of things (AIoT) system with self‐powered triboelectric sensor for harsh environment is challenging because environmental fluctuations are reflected in signals. This study presents an environmentally tire monitoring deep learning to capture driving information the signals generated from tire‐road friction. The optimization process and structure laser‐induced graphene (LIG) electrode layer conducted, enabling detect universal vehicles/robotic mobility, including rotation speeds 200–2000 rpm contact fractions line. Employing hybrid model combining short‐term Fourier transform convolution neural network‐long memory, LIG‐based (LTTM) decouples information, such as traffic lines road states, varied conditions humidity (10%–90%) temperatures (50–70 °C). real‐time line state recognition LTTM confirmed on mobile platform across diverse conditions, fog, dampness, intense sunlight, heat shimmer. work provides AIoT by introducing smart mobility.
Язык: Английский
Процитировано
12Soft Science, Год журнала: 2025, Номер 5(1)
Опубликована: Фев. 14, 2025
Self-powered sensing technology plays a key role in autonomous and portable systems, with applications health monitoring robotics. These sensors, which do not rely on external power sources, offer stable, continuous data acquisition for real-time complex interactions. For instance, triboelectric nanogenerators have enabled self-powered wearable sensors to monitor vital signs such as heart beat rate respiration by converting body movement into electrical energy, eliminating the need batteries. Despite their advantages, challenges remain large-scale manufacturing, miniaturization, multifunctional integration. Overcoming these may require innovative advances novel materials, intelligent algorithms, integration strategies. This perspective summarizes recent existing technologies robotics applications, provides an outlook future development.
Язык: Английский
Процитировано
1Nano Trends, Год журнала: 2023, Номер 3, С. 100013 - 100013
Опубликована: Июнь 21, 2023
Nanogenerators have garnered significant attention in the field of robotics due to their high performance, ease design and fabrication, lightweight nature. By utilizing such sensing systems, machines can be endowed with specific sentience capabilities. Moreover, sensors that based on nanogenerators operate continuously without requiring an external power source. The following paper presents a comprehensive review recent developments applications nanogenerator-based years. These are categorized according sensory functions (including tactile, hearing, smell, vision displacement, etc.), focus working mechanisms, materials structures. Furthermore, this investigates usage these devices flexible manipulators human-machine interfaces. Finally, challenges opportunities pertaining discussed.
Язык: Английский
Процитировано
15Journal of Materials Chemistry C, Год журнала: 2024, Номер 12(19), С. 6770 - 6784
Опубликована: Янв. 1, 2024
This review focuses on the development of tactile sensors for parameters such as pressure, strain and integration multiple functions. The application prospect bionic in e-skin, human–computer interaction, robots is envisioned.
Язык: Английский
Процитировано
5Composites Part B Engineering, Год журнала: 2025, Номер unknown, С. 112246 - 112246
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
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