Nestable arched triboelectric nanogenerator for large deflection biomechanical sensing and energy harvesting

Liao, Jingwen; Zou, Yang; Jiang, Dongjie; Liu, Zezhi; Qu, Xuecheng; Li, Zhe; Liu, Ruping; Fan, Yubo; Shi, Bojing; Zheng, Li

doi:10.1016/j.nanoen.2019.104417

Cited by 50 publications

(28 citation statements)

References 44 publications

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“…Furthermore, a highly flexible finger worn TENG was developed, as shown in Figure 13h, which yielded V oc , transferred charge, and I sc of 2.7 V, 1.2 nC, and ≈15 nA, respectively. [ 220 ] Yet another example, where an ultrathin and highly stretchable TENG device was demonstrated. The TENG performed as the second skin on the human body and generated V oc and I sc of about 115 V, and 3 µA, respectively (Figure 13i).…”

Section: Overview Of Energy Harvestersmentioning

confidence: 99%

Energy Harvesters for Wearable Electronics and Biomedical Devices

Hasan

Sahlan

Osman

et al. 2021

Adv Materials Technologies

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Energy harvesters (EHs) are widely used to transform ambient energy sources into electrical energy, and have tremendous potential to power wearables electronics and biomedical devices by eliminating, or at least increasing, the battery life. Nevertheless, the use of EHs for a specific application depends on various aspects including the form of energy source, the structural configuration of the device, and the properties of materials. This paper presents a comprehensive review of the classification of EHs, notably thermoelectric generators (TEGs), triboelectric nanogenerators (TENGs), and piezoelectric generators (PEGs) that allows a wide variety of devices to be operated. The EHs are discussed in terms of their operating principles, optimization factors, state‐of‐the‐art materials, and device structure, that directly influence their operational efficiency. Besides, the breakthrough performance of each of the EHs listed above is highlighted. From the review and analysis, the maximum output power density of 9.2 mW cm−2, 50 mW cm−2, and 64.9 µW cm−2, respectively, are obtained from the TEG, TENG, and PEG, respectively. Furthermore, recent applications relevant to a specific EH and their output performance, are also enlightened. Eventually, the essential outcomes and future direction from this review are discussed and encapsulated.

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Section: Overview Of Energy Harvestersmentioning

confidence: 99%

Energy Harvesters for Wearable Electronics and Biomedical Devices

Hasan

Sahlan

Osman

et al. 2021

Adv Materials Technologies

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“…Textile as a fundamental part of normal garments has been extensively investigated as a great flexible and stretchable electronics platform [25][26][27][28] . There are a few research developments of smart textiles based on various mechanisms, aimed to be not only more flexible for an improved comfortability but also multifunctional, i.e., sensation, perception, or integration [29][30][31][32][33][34] . Triboelectric nanogenerator (TENG) gradually becomes an optimal option for scavenging waste energy, and sensing of both physical and chemical parameters based on the textile platform due to the particular advantages, including various choices of materials, easy fabrication, low-power consumption, and low cost [35][36][37][38][39] .…”

Section: Introductionmentioning

confidence: 99%

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

et al. 2020

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The era of artificial intelligence and internet of things is rapidly developed by recent advances in wearable electronics. Gait reveals sensory information in daily life containing personal information, regarding identification and healthcare. Current wearable electronics of gait analysis are mainly limited by high fabrication cost, operation energy consumption, or inferior analysis methods, which barely involve machine learning or implement nonoptimal models that require massive datasets for training. Herein, we developed low-cost triboelectric intelligent socks for harvesting waste energy from low-frequency body motions to transmit wireless sensory data. The sock equipped with self-powered functionality also can be used as wearable sensors to deliver information, regarding the identity, health status, and activity of the users. To further address the issue of ineffective analysis methods, an optimized deep learning model with an end-to-end structure on the socks signals for the gait analysis is proposed, which produces a 93.54% identification accuracy of 13 participants and detects five different human activities with 96.67% accuracy. Toward practical application, we map the physical signals collected through the socks in the virtual space to establish a digital human system for sports monitoring, healthcare, identification, and future smart home applications.

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“…As of now, within the biomedical field, TENG‐generated electricity has been utilized to power wearable devices, enable the sensing of physiological functions such as heart rate, and treat various diseases and conditions through therapeutic ES. [ 124–136 ] There are many different types of TENG working modes including vertical contact separation, [ 137,138 ] in‐plane sliding, [ 139,140 ] single electrode, [ 141–144 ] and freestanding, [ 145–148 ] which give further leeway to utilizing TENG devices for IOB therapeutic applications due to the ability of TENG devices to harness electricity from a wide variety of biomechanical motions. TENGs’ versatility renders them optimal self‐powered biomedical sensors, [ 149–155 ] providing sensing insight via means of signal‐to‐function association.…”

Section: Introductionmentioning

confidence: 99%

Triboelectric Nanogenerators for Therapeutic Electrical Stimulation

et al. 2021

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Current solutions developed for the purpose of in and on body (IOB) electrical stimulation (ES) lack autonomous qualities necessary for comfortable, practical, and self‐dependent use. Consequently, recent focus has been placed on developing self‐powered IOB therapeutic devices capable of generating therapeutic ES for human use. With the recent invention of the triboelectric nanogenerator (TENG), harnessing passive human biomechanical energy to develop self‐powered systems has allowed for the introduction of novel therapeutic ES solutions. TENGs are especially effective at providing ES for IOB therapeutic systems given their bioconformability, low cost, simple manufacturability, and self‐powering capabilities. Due to the key role of naturally induced electrical signals in many physiological functions, TENG‐induced ES holds promise to provide a novel paradigm in therapeutic interventions. The aim here is to detail research on IOB TENG devices applied for ES‐based therapy in the fields of regenerative medicine, neurology, rehabilitation, and pharmaceutical engineering. Furthermore, considering TENG‐produced ES can be measured for sensing applications, this technology is paving the way to provide a fully autonomous personalized healthcare system, capable of IOB energy generation, sensing, and therapeutic intervention. Considering these grounds, it seems highly relevant to review TENG‐ES research and applications, as they could constitute the foundation and future of personalized healthcare.

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Nestable arched triboelectric nanogenerator for large deflection biomechanical sensing and energy harvesting

Cited by 50 publications

References 44 publications

Energy Harvesters for Wearable Electronics and Biomedical Devices

Energy Harvesters for Wearable Electronics and Biomedical Devices

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

Triboelectric Nanogenerators for Therapeutic Electrical Stimulation

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