The DOI matches its Crossref record.
A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Monitoring
Abstract
This paper reviews recent advances in biomedical and healthcare applications of Doppler radar that remotely detects heartbeat and respiration of a human subject. In the last decade, new front-end architectures, baseband signal processing methods, and system-level integrations have been proposed by many researchers in this field to improve the detection accuracy and robustness. The advantages of noncontact detection have drawn interests in various applications, such as energy smart home, baby monitor, cardiopulmonary activity assessment, and tumor tracking. While many of the reported systems were bench-top prototypes for concept verification, several portable systems and integrated radar chips have been demonstrated. This paper reviews different architectures, baseband signal processing, and system implementations. Validations of this technology in a clinical environment will also be discussed.
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
Cited by
FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas
Zeng, Y., Wu, D., Xiong, J., Yi, E., Gao, R., & Zhang, D. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3351279 · Cited by 469
Wireless Sensing for Human Activity: A Survey
Liu, J., Liu, H., Chen, Y., Wang, Y., & Wang, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2934489 · Cited by 414
Mocrii, D., Chen, Y., & Musilek, P. (2018) · Internet of Things · doi:10.1016/j.iot.2018.08.009 · Cited by 348
Illuminating the dark spaces of healthcare with ambient intelligence
Haque, A., Milstein, A., & Fei-Fei, L. (2020) · Nature · doi:10.1038/s41586-020-2669-y · Cited by 274
DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar
Rahman, T., Adams, A. T., Ravichandran, R. V., Zhang, M., Patel, S. N., Kientz, J. A., & Choudhury, T. (2015) · Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing · doi:10.1145/2750858.2804280 · Cited by 175
Metadata
- Authors
- Li, C., Lubecke, V. M., Boric-Lubecke, O., & Lin, J.
- Venue
- IEEE Transactions on Microwave Theory and Techniques
- Published
- 2013-05
- Volume
- 61
- Issue
- 5
- Pages
- 2046-2060
- ISSN
- 0018-9480 (ISSN-L)
- 1557-9670
- OpenAlex
- W2075959322
- Cited by
- 821
- References
- 0
- FWCI
- 22.32
- Type
- journal article
- Language
- en
- Open access
- closed
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: A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Monitoring. https://app.cochat.ai/papers/10.1109/tmtt.2013.2256924
- The paper
- Li, C., Lubecke, V. M., Boric-Lubecke, O., & Lin, J. (2013). A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Monitoring. IEEE Transactions on Microwave Theory and Techniques. https://doi.org/10.1109/tmtt.2013.2256924
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.
