The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Energy Harvesting from the Animal/Human Body for Self-Powered Electronics
Abstract
Living subjects (i.e., humans and animals) have abundant sources of energy in chemical, thermal, and mechanical forms. The use of these energies presents a viable way to overcome the battery capacity limitation that constrains the long-term operation of wearable/implantable devices. The intersection of novel materials and fabrication techniques offers boundless possibilities for the benefit of human health and well-being via various types of energy harvesters. This review summarizes the existing approaches that have been demonstrated to harvest energy from the bodies of living subjects for self-powered electronics. We present material choices, device layouts, and operation principles of these energy harvesters with a focus on in vivo applications. We discuss a broad range of energy harvesters placed in or on various body parts of human and animal models. We conclude with an outlook of future research in which the integration of various energy harvesters with advanced electronics can provide a new platform for the development of novel technologies for disease diagnostics, treatment, and prevention.
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Cites
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
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Self-citationNon-invasive wearable electrochemical sensors: a review
Bandodkar, A. J., & Wang, J. (2014) · Trends in Biotechnology · doi:10.1016/j.tibtech.2014.04.005 · Cited by 1,247
Nanotechnology‐Enabled Energy Harvesting for Self‐Powered Micro‐/Nanosystems
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Self-citationConformal piezoelectric energy harvesting and storage from motions of the heart, lung, and diaphragm
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Human-powered wearable computing
Starner, T. (1996) · IBM Systems Journal · doi:10.1147/sj.353.0618 · Cited by 876
Flexible High-Output Nanogenerator Based on Lateral ZnO Nanowire Array
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Self-citationHwang, G., Park, H., Lee, J., Oh, S., Park, K., Byun, M., Park, H., Ahn, G., Jeong, C. K., No, K., et al. (2014) · Advanced Materials · doi:10.1002/adma.201400562 · Cited by 672
In Vivo Powering of Pacemaker by Breathing‐Driven Implanted Triboelectric Nanogenerator
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Self-citationMuscle‐Driven In Vivo Nanogenerator
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Self-citationRiemer, R., & Shapiro, A. (2011) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-8-22 · Cited by 379
Cited by
Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Multifunctional Skin‐Inspired Flexible Sensor Systems for Wearable Electronics
Xu, K., Lu, Y., & Takei, K. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800628 · Cited by 602
Applications of nanotechnology in smart textile industry: A critical review
Shah, M. A., Pirzada, B. M., Price, G., Shibiru, A. L., & Qurashi, A. (2022) · Journal of Advanced Research · doi:10.1016/j.jare.2022.01.008 · Cited by 412
Li, S., Fan, Y., Chen, H., Nie, J., Liang, Y., Tao, X., Zhang, J., Chen, X., Fu, E., & Wang, Z. L. (2020) · Energy & Environmental Science · doi:10.1039/c9ee03307f · Cited by 356
Self-citationSelf-powered cardiovascular electronic devices and systems
Zheng, Q., Tang, Q., Wang, Z. L., & Li, Z. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-020-0426-4 · Cited by 348
Self-citation
Metadata
- Authors
- Dagdeviren, C., Li, Z., & Wang, Z. L.
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2017-06-21
- Volume
- 19
- Issue
- 1
- Pages
- 85-108
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- OpenAlex
- W2532838659
- Cited by
- 348
- References
- 13
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dagdeviren, C., Li, Z., & Wang, Z. L. (2017). Energy Harvesting from the Animal/Human Body for Self-Powered Electronics. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev-bioeng-071516-044517
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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