Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity

Yuan, Xiaoyan; Cheng, Sijing; Chao, Shengyu; Hu, Yiran; Cai, Mengxin; Zou, Yang; Liu, Zhuo; Hua, Wei; Tan, Puchuan; Fan, Yubo; Li, Zhou

doi:10.1007/s12274-023-5804-x

Cited by 11 publications

(2 citation statements)

References 33 publications

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“…19,20 Therefore, wearable electronic devices can utilize self-powered technologies for sensing mechanisms, such as piezoelectric, triboelectric, pyroelectric, and electromagnetic methods. [21][22][23][24][25][26][27] However, piezoelectric and pyroelectric effects have some limitations in material selection and temperature requirements, respectively. Meanwhile, the electromagnetic effect can be unstable due to magnetic field fluctuations, impacting sensing accuracy.…”

Section: Introductionmentioning

confidence: 99%

AIoT‐enhanced health management system using soft and stretchable triboelectric sensors for human behavior monitoring

Xu,

Zhong,

Yue

et al. 2024

EcoMat

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Sedentary, inadequate sleep and exercise can affect human health. Artificial intelligence (AI) and Internet of Things (IoT) create the Artificial Intelligence of Things (AIoT), providing the possibility to solve these problems. This paper presents a novel approach to monitor various human behaviors for AIoT‐based health management using triboelectric nanogenerator (TENG) sensors. The insole with solely one TENG sensor, creating a most simplified system that utilizes machine learning (ML) for personalized motion monitoring, encompassing identity recognition and gait classification. A cushion with 12 TENG sensors achieves real‐time identity and sitting posture recognition with accuracy rates of 98.86% and 98.40%, respectively, effectively correcting sedentary behavior. Similarly, a smart pillow, equipped with 15 sensory channels, detects head movements during sleep, identifying 8 sleep patterns with 96.25% accuracy. Ultimately, constructing an AIoT‐based health management system to analyze these data, displaying health status through human‐machine interfaces, offers the potential to help individuals maintain good health.image

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Section: Introductionmentioning

confidence: 99%

AIoT‐enhanced health management system using soft and stretchable triboelectric sensors for human behavior monitoring

Xu,

Zhong,

Yue

et al. 2024

EcoMat

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“…The increasing maturity of 5G technology has promoted rapid development of the Internet of Things (IoTs), which provides excellent opportunities and acts as a driving force for the construction of smart cities, including smart homes, intelligent transportation, and digital medical care. − However, the existing wireless sensors used in IoTs mainly rely on the traditional chemical battery power model, and the related battery lifetime problems and replacement costs have led to an urgent need for the development of new alternative power technologies. Piezoelectric energy harvesters (PEHs) represent a feasible solution to drive these wireless sensors, which can convert the mechanical energy that can be found everywhere in daily life into electrical energy, regarding as one of the most promising potential power technologies for the 5G era. − To date, the most commonly used materials for PEHs are still largely Pb-based materials, , which can cause serious damage to the environment and to public health.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Output Power Density in Lead-Free Energy-Harvesting Piezoceramics with an Entropy-Increasing Polymorphic Phase Transition Structure

Xi,

Hou,

et al. 2023

ACS Appl. Mater. Interfaces

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It is an urgent need to develop lead-free piezoelectric energy harvesters (PEHs) to address the energy dilemma and meet environmental protection requirements. However, the low output power densities limit further promotion of lead-free PEHs for use in daily life. Here, an entropy-increasing strategy is proposed to achieve an increased output power density of 819 μW/cm 3 in lead-free potassium sodium niobate (KNN)-based piezoceramics by increasing the configuration entropy and realizing nearly two times the growth compared with low-entropy counterparts. Evolution of the energy-harvesting performance with increasing configuration entropy is demonstrated systematically, and the excellent energy-harvesting properties achieved are attributed to the enhanced lattice distortion, the flexible polarization configuration, and the high-density randomly distributed nanodomains with the entropy-increasing effect. Moreover, excellent vibration fatigue resistance and variable temperature output power characteristics were also realized in the PEH prepared by the proposed entropy-increasing material. The significant enhancement of the comprehensive energy-harvesting performance demonstrates that the construction of KNN-based ceramics with high configuration entropy represents an effective and convenient strategy to enable design of high-performance piezoceramics and thus promotes the development of advanced PEHs.

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Multiscale Structural Triboelectric Aerogels Enabled by Self‐Assembly Driven Supramolecular Winding

Zhao,

Zhang,

Liu

et al. 2024

Adv Funct Materials

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The rapid development of wearable electronics has placed higher demands on the design strategies of triboelectric materials. Aerogels have the potential to become advanced triboelectric materials, however, traditional design strategies often require complex processes and additional chemical cross‐linking agents to improve the stability of the gel structure, which limits its practical application. In this work, a scalable and sustainable self‐assembly drive strategy is proposed for the design of bio‐based triboelectric aerogels with multi‐scale winding structures. Interestingly, the autoacceleration effect, which is regarded as “unfavorable” during the autocatalytic polymerization of supramolecules, is rationally exploited to provide the supramolecules within the matrix with an abundance of multiple hydrogen bonds at the same time as their rapid gelation occurs. Thanks to this, the aerogel film exhibits ultra‐high tensile strength (104 MPa) and remains undeformed after resisting an impact of 8000 times its own weight. Highly robust triboelectric aerogel films are used to build wearable self‐powered sensors with ultra‐fast response in complex environments (48 ms), while enabling real‐time interaction between the wearer and the information network. The design idea of “ turning a detriment into an asset ” in this work provides a new idea for the material construction of highly robust wearable sensors.

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Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity

Cited by 11 publications

References 33 publications

AIoT‐enhanced health management system using soft and stretchable triboelectric sensors for human behavior monitoring

AIoT‐enhanced health management system using soft and stretchable triboelectric sensors for human behavior monitoring

Optimizing Output Power Density in Lead-Free Energy-Harvesting Piezoceramics with an Entropy-Increasing Polymorphic Phase Transition Structure

Multiscale Structural Triboelectric Aerogels Enabled by Self‐Assembly Driven Supramolecular Winding

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