The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Wearable triboelectric sensors for biomedical monitoring and human-machine interface
Open accessAbstract
A growing advocacy of healthy and quality life makes wearable electronics spring up. Triboelectric nanogenerator (TENG) has developed as an energy harvesting technology and as an advanced sensor technology in wearable electronics. The triboelectric sensor (TS) is sensitive to the mechanical motion and driven by the motion itself. Therefore, TS is capable of monitoring certain vital signs and kinds of movements of human body. Based on these monitoring, novel human-machine interfaces (HMIs) can be established. In this review, a comprehensive overview of some key progresses in this field over last 5 years are presented. Several main aspects of biomedical monitoring based on TSs are classified: pulse/cardiac/micro-motion, respiration/airflow/vibration, and pressure/tactile/body movement. The major types of HMIs taking these biomedical monitoring as basis are introduced accordingly: eye movement, voice/auditory, gesture/joint movement, and touch/tactile based HMIs. Finally, the current limitations and future trends are put forward for biomedical monitoring and HMIs based on TSs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Piezoelectric Nanogenerators Based on Zinc Oxide Nanowire Arrays
Wang, Z. L., & Song, J. (2006) · Science · doi:10.1126/science.1124005 · Cited by 7,922
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087 · cited 1×
“With the fast development of micro-nanotechnology, wearable electronics are springing up in the field of health monitoring and smart communication (Bandodkar et al., 2019; Chung et al., 2019; Gao et al., 2016; Pu et al., 2017; Wang et al., 2018c; Zheng et al., 2020).”
BackgroundA flexible and highly sensitive strain-gauge sensor using reversible interlocking of nanofibres
Pang, C., Lee, G.-Y., Kim, T.-I., Kim, S. M., Kim, H. N., Ahn, S.-H., & Suh, K.-Y. (2012) · Nature Materials · doi:10.1038/nmat3380 · Cited by 1,695
Persano, L., Dagdeviren, C., Su, Y., Zhang, Y., Girardo, S., Pisignano, D., Huang, Y., & Rogers, J. A. (2013) · Nature Communications · doi:10.1038/ncomms2639 · Cited by 1,271
The grand challenges of Science Robotics
Yang, G.-Z., Bellingham, J., Dupont, P. E., Fischer, P., Floridi, L., Full, R., Jacobstein, N., Kumar, V., McNutt, M., Merrifield, R., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aar7650 · Cited by 1,177
Wu, W., Wen, X., & Wang, Z. L. (2013) · Science · doi:10.1126/science.1234855 · Cited by 931
Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care
Chung, H. U., Kim, B. H., Lee, J. Y., Lee, J., Xie, Z., Ibler, E. M., Lee, K., Banks, A., Jeong, J. Y., Kim, J., et al. (2019) · Science · doi:10.1126/science.aau0780 · Cited by 807
Yang, Y., Zhang, H., Lin, Z.-H., Zhou, Y. S., Jing, Q., Su, Y., Yang, J., Chen, J., Hu, C., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn403838y · Cited by 798
Self-citationZhu, M., Sun, Z., Zhang, Z., Shi, Q., He, T., Liu, H., Chen, T., & Lee, C. (2020) · Science Advances · doi:10.1126/sciadv.aaz8693 · Cited by 784
Ohkuma, T., Ninomiya, T., Tomiyama, H., Kario, K., Hoshide, S., Kita, Y., Inoguchi, T., Maeda, Y., Kohara, K., Tabara, Y., et al. (2017) · Hypertension · doi:10.1161/hypertensionaha.117.09097 · Cited by 541
Cited by
End-to-end design of wearable sensors
Ates, H. C., Nguyen, P. Q., Gonzalez-Macia, L., Morales-Narváez, E., Güder, F., Collins, J. J., & Dincer, C. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00460-x · Cited by 1,306
Choi, D., Lee, Y., Lin, Z.-H., Cho, S., Kim, M., Ao, C. K., Soh, S., Sohn, C., Jeong, C. K., Lee, J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c12458 · Cited by 656
Self-citationSun, Z., Zhu, M., Shan, X., & Lee, C. (2022) · Nature Communications · doi:10.1038/s41467-022-32745-8 · Cited by 532
Wen, F., Zhang, Z., He, T., & Lee, C. (2021) · Nature Communications · doi:10.1038/s41467-021-25637-w · Cited by 494
Triboelectric nanogenerators as wearable power sources and self-powered sensors
Pu, X., Zhang, C., & Wang, Z. L. (2023) · National Science Review · doi:10.1093/nsr/nwac170 · Cited by 267
Self-citation
Metadata
- Authors
- Pu, X., An, S., Tang, Q., Guo, H., & Hu, C.
- Venue
- iScience
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 24
- Issue
- 1
- Pages
- 102027
- ISSN
- 2589-0042 (ISSN-L)
- OpenAlex
- W3121051458
- Cited by
- 218
- References
- 19
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Wearable triboelectric sensors for biomedical monitoring and human-machine interface. https://app.cochat.ai/papers/10.1016/j.isci.2020.102027
- The paper
- Pu, X., An, S., Tang, Q., Guo, H., & Hu, C. (2021). Wearable triboelectric sensors for biomedical monitoring and human-machine interface. iScience. https://doi.org/10.1016/j.isci.2020.102027
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
