Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform

Bioelectronic Medicine, Journal Year: 2023, Volume and Issue: 9(1)

Published: Aug. 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.

Language: Английский

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Self-sustained and self-wakeup wireless vibration sensors by electromagnetic-piezoelectric-triboelectric hybrid energy harvesting

Applied Energy, Journal Year: 2023, Volume and Issue: 355, P. 122207 - 122207

Published: Nov. 16, 2023

Language: Английский

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Advances in Machine‐Learning Enhanced Nanosensors: From Cloud Artificial Intelligence Toward Future Edge Computing at Chip Level

Small Structures, Journal Year: 2023, Volume and Issue: 5(4)

Published: Dec. 20, 2023

Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in the field of sensor technology, traditional sensors encounter limitations data analysis their development. Since inception machine‐learning algorithms being applied to enhance nanosensors, they have gained significant attention due adaptive and predictive capabilities, which promise dramatically improve efficiency collection processing applications. Herein, comprehensive overview technological innovation is provided by reviewing latest developments cloud computing, edge burgeoning realm neuromorphic computing. Cloud computing has emerged powerhouse, harnessing formidable computational capabilities process vast volumes high‐dimensional data. Then, research directions for various applications these artificial intelligence (AI)‐enhanced outlined. Moreover, integration AI nanosensor technology into chip‐level although promising, still faces challenges such energy‐efficient hardware development, algorithm optimization, scalability mass production. Finally, forward‐looking perspective on future machine‐learning‐enhanced provided, delineating opportunities further this exciting field.

Language: Английский

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Miniaturizing Power: Harnessing Micro-Supercapacitors for advanced micro-electronics

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 490, P. 151857 - 151857

Published: May 3, 2024

Language: Английский

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How 3D Printing Technology Makes Cities Smarter: A Review, Thematic Analysis, and Perspectives

Smart Cities, Journal Year: 2024, Volume and Issue: 7(6), P. 3458 - 3488

Published: Nov. 12, 2024

This paper presents a comprehensive review of the transformative impacts 3D printing technology on smart cities. As cities face rapid urbanization, resource shortages, and environmental degradation, innovative solutions such as additive manufacturing (AM) offer potential pathways for sustainable urban development. By synthesizing 66 publications from 2015 to 2024, study examines how improves infrastructure, enhances sustainability, fosters community engagement in city planning. Key benefits include reducing construction time material waste, lowering costs, enabling creation scalable, affordable housing solutions. The also addresses emerging areas integration with digital twins (DTs), machine learning (ML), AI optimize infrastructure predictive maintenance. It highlights use materials soft robotics structural health monitoring (SHM) repairs. Despite promising advancements, challenges remain terms cost, scalability, need interdisciplinary collaboration among engineers, designers, planners, policymakers. findings suggest roadmap future research practical applications cities, contributing ongoing discourse technologically advanced

Language: Английский

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Recent Advances in Stretchable Hydrogels-Based Triboelectric Nanogenerators for On-Skin Electronics

Materials Chemistry Frontiers, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This review summarizes the properties of stretchable hydrogels and their optimization for TENGs in on-skin electronics, highlighting applications addressing challenges related to durability user comfort.

Language: Английский

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A Wearable Multidimensional Motion Sensor for AI-Enhanced VR Sports

Research, Journal Year: 2023, Volume and Issue: 6

Published: Jan. 1, 2023

Regular exercise paves the way to a healthy life. However, conventional sports events are susceptible weather conditions. Current motion sensors for home-based mainly limited by operation power consumption, single-direction sensitivity, or inferior data analysis. Herein, leveraging 3-dimensional printing technique and triboelectric effect, wearable self-powered multidimensional sensor has been developed detect both vertical planar movement trajectory. By integrating with belt, this could be used identify some low degree of freedom motions, e.g., waist gait motion, high accuracy 93.8%. Furthermore, when wearing at ankle position, signals generated from shank motions that contain more abundant information also effectively collected. means deep learning algorithm, kicking direction force precisely differentiated an 97.5%. Toward practical application, virtual reality-enabled fitness game shooting were successfully demonstrated. This work is believed open up new insights development future household rehabilitation.

Language: Английский

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Progress in self-powered sensors—Moving toward artificial intelligent and neuromorphic system

Nano Research, Journal Year: 2023, Volume and Issue: 16(9), P. 11801 - 11821

Published: July 27, 2023

Language: Английский

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Self-powered transformer intelligent wireless temperature monitoring system based on an ultra-low acceleration piezoelectric vibration energy harvester

Nano Energy, Journal Year: 2023, Volume and Issue: 114, P. 108662 - 108662

Published: June 30, 2023

Language: Английский

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Recent development of piezoelectric biosensors for physiological signal detection and machine learning assisted cardiovascular disease diagnosis

RSC Advances, Journal Year: 2023, Volume and Issue: 13(42), P. 29174 - 29194

Published: Jan. 1, 2023

This review provides the recent development of wearable piezoelectric biosensors assisted by machine learning for continuous and real-time health monitoring.

Language: Английский

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