Waist-wearable wireless respiration sensor based on triboelectric effect

Zhang, He; Zhang, Jiwei; Hu, Zhiwei; Quan, Liwei; Shi, Lin; Chen, Jinkai; Xuan, Weipeng; Zhang, Zhicheng; Dong, Shurong; Luo, Jikui

doi:10.1016/j.nanoen.2019.01.063

Cited by 132 publications

(101 citation statements)

References 45 publications

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“…The sensor technologies include thermal, humidity, acoustic, pressure, resistive, inductive, acceleration, electromyography, and impedance. A wearable device with these sensors can be mounted into chest belts, attached to a chest belt [40][41][42][43], or applied to the skin [44,45], amongst other modes of attachment.…”

Section: B Respiratory Ratementioning

confidence: 99%

“…The results indicate a high RR estimation accuracy (<0.07±0.54 bpm) at these places without significant difference, but the upper thorax was shown to be the most comfortable location [41]. Zhang et al developed a triboelectric nanogenerator based waist-wearable wireless respiratory monitoring device, and it was demonstrated to be highly accurate and sensitive for realtime respiratory monitoring [40]. Another study by Liu et al reported a body sensor network (BSN) enabled threedimensional accelerator to track inclination changes due to breathing.…”

Section: B Respiratory Ratementioning

confidence: 99%

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Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Ding

Clifton

et al. 2021

IEEE Rev. Biomed. Eng.

218

155

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Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical manifestations including death.A pandemic at the large-scale like COVID-19 places extraordinary demands on the world's health systems, dramatically devastates vulnerable populations, and critically threatens the global communities in an unprecedented way. While tremendous efforts at the frontline are placed on detecting the virus, providing treatments and developing vaccines, it is also critically important to examine the technologies and systems for tackling disease emergence, arresting its spread and especially the strategy for diseases prevention. The objective of this article is to review enabling technologies and systems with various application scenarios for handling the COVID-19 crisis. The article will focus specifically on 1) wearable devices suitable for monitoring the populations at risk and those in quarantine, both for evaluating the health status of caregivers and management personnel, and for facilitating triage processes for admission to hospitals; 2) unobtrusive sensing systems for detecting the disease and for monitoring patients with relatively mild symptoms whose clinical situation could suddenly worsen in improvised hospitals; and 3) telehealth technologies for the remote monitoring and diagnosis of COVID-19 and related diseases. Finally, further challenges and opportunities for future directions of development are highlighted.

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Section: B Respiratory Ratementioning

confidence: 99%

Section: B Respiratory Ratementioning

confidence: 99%

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Ding

Clifton

et al. 2021

IEEE Rev. Biomed. Eng.

218

155

View full text Add to dashboard Cite

show abstract

“…In a motion-triggered device for harvesting respiration energy, a CS mode TENG (nylon and PTFE dielectric films with Cu electrodes) was integrated with a belt through "Z-shaped" connectors to be applied to the waist. 68 During respiration, the decreased chest/abdomen circumference retracts connectors causing the full separation of polymer films, whereas expanded chest/abdomen during expiration stretches connectors to render dielectric pairs contact. This device on human volunteers produced a reasonable V OC of 7 V yet a low current around 0.1 μA ( Figure 2G).…”

Section: Electrical Energy Generationmentioning

confidence: 99%

“…Electricity output of TENG reflecting respiration characteristics thus may possess a great value for developing self-powered healthcare monitoring systems with potential applications for respiration behavior recognition, respiration rate and depth monitoring, and respiratory disease detection. 25,26,[66][67][68][70][71][72][88][89][90] Wang et al developed an intelligent wireless TENG system to monitor the airflow during respiration. 66 The operation of TENG was based on aeroelastic fluttering of a flexible nanostructured PTFE (n-PTFE) thin film in an acrylic tube ( Figure 3A).…”

Section: Healthcare Monitoringmentioning

confidence: 99%

Respiration‐driven triboelectric nanogenerators for biomedical applications

Long

Yang

et al. 2020

EcoMat

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As a fundamental and ubiquitous body motion, respiration offers a large amount of biomechanical energy with an average power up to the Watt level through movements of multiple muscles. The energy from respiration featured with excellent stability, accessibility and continuality inspires the design and engineering of biomechanical energy harvesting devices, such as triboelectric nanogenerators (TENGs), to realize human‐powered electronics. This review article is thus dedicated to the emerging respiration‐driven TENG technology, covering fundamentals, applications, and perspectives. Specifically, the human breathing mechanics are first introduced serving as the base for the developments of TENG devices with different configurations. Biomedical applications including electrical energy generation, healthcare monitoring, air filtration, gas sensing, electrostimulation, and powering implantable medical devices are then analyzed focusing on the design‐application relationships. At last, current developments are summarized and critical challenges for driving these intriguing developments toward practical applications are discussed together with promising solutions.

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“…Using these four modes and their combinations, a range of TENG devices have been invented for energy harvesting like wind and water, structure vibration and biomechanical motion energy harvesters, and self-powered smart sensing like vector sensor, tactile sensor, vibration detection, human physical signal detection, etc. [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Theoretical Prediction and Optimization Approach to Triboelectric Nanogenerator

Zhang¹,

Quan²

2019

Electrostatic Discharge - From Electrical Breakdown in Micro-Gaps to Nano-Generators

Self Cite

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Triboelectric nanogenerator (TENG) is a new type of electrostatic generator based on the principle of Maxwell displacement current. It could be designed as a device for either smart sensing or energy harvesting via converting mechanical energy into electric power efficiently. To predict its output characteristic, investigate its working mechanism, and enhance its working performance, the theoretical analysis and optimization work in either experimental or theoretical means are of great significance. In this chapter, we plan to introduce the progress of theoretical analysis and optimization approach to TENG with four different modes. Three parts of work will be introduced in the manuscript: (1) the theoretical prediction approach for electric output performance of TENG device, (2) the optimization strategies for TENG device based on figure of merits, and (3) the scaling laws between the normalized electric outputs and multiple physical properties of the TENG device.

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Waist-wearable wireless respiration sensor based on triboelectric effect

Cited by 132 publications

References 45 publications

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Respiration‐driven triboelectric nanogenerators for biomedical applications

Theoretical Prediction and Optimization Approach to Triboelectric Nanogenerator

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