About: Respiration‐driven triboelectric nanogenerators for biomedical applications

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Respiration‐driven triboelectric nanogenerators for biomedical applications
Creator	Li, Jun Wang, Xudong Yin, \| Fan, Long
Source	PMC
abstract	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. [Image: see text]
has issue date	2020-08-09(xsd:dateTime)
bibo:doi	10.1002/eom2.12045
has license	cc-by
sha1sum (hex)	c59e5b1ed70736212fa26fba752e8500f4feb665
schema:url	https://doi.org/10.1002/eom2.12045
resource representing a document's title	Respiration‐driven triboelectric nanogenerators for biomedical applications
has PubMed Central identifier	PMC7436384
resource representing a document's body	covid:c59e5b1ed70736212fa26fba752e8500f4feb665#body_text
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