The DOI matches its Crossref record, with a small difference in title or year; 2 of the 2 references it cites were found in a registry or an index.
Predicting respiratory motion for active canceling during percutaneous needle insertion
Abstract
Prediction of bodily motion due to respiration was investigated preparatory to implementation of active compensation for respiration in a robot-assisted system for percutaneous kidney surgery. Data for preliminary testing were recorded from the chest wall of a subject using an optical displacement sensor. The weighted-frequency Fourier linear combiner algorithms an adaptive modeling: algorithm, was used to model and predict respiratory movement. Preliminary results are presented, in which the algorithm is shown to track a 0.86 mm rms respiration signal with 0.11 mm rms error. The general robotic system and compensation scheme are also described.
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Cites
Adaptive cancelling of physiological tremor for improved precision in microsurgery
Riviere, C. N., Rader, R. S., & Thakor, N. V. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.686791 · Cited by 260
Self-citationModeling and canceling tremor in human-machine interfaces
Riviere, C. N., & Thakor, N. V. (1996) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.499755 · Cited by 114
Self-citation
Flagged first, then by citations
Research works printed but not linked: 7
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- 10.1007/BFb0029249 · DOI
Cited by
Sorted by citations
Bandlimited Multiple Fourier Linear Combiner for Real-time Tremor Compensation
Veluvolu, K. C., Tan, U. X., Latt, W. T., Shee, C. Y., & Ang, W. T. (2007) · 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2007.4352922 · Cited by 83
Veluvolu, K. C., Latt, W. T., & Ang, W. T. (2010) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2009.06.001 · Cited by 65
Adaptive sliding bandlimited multiple fourier linear combiner for estimation of pathological tremor
Wang, S., Gao, Y., Zhao, J., & Cai, H. (2014) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2013.10.004 · Cited by 42
Zhou, Y., Habibollahi, Z., Ibrahim, A., Jenkins, M. E., Naish, M. D., & Trejos, A. L. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3211450 · Cited by 8
Metadata
- Authors
- Riviere, C. N., Thakral, A., Iordachita, I. I., Mitroi, G., & Stoianovici, D.
- Affiliations
- Carnegie Mellon University (US)
- University of Craiova (RO)
- Johns Hopkins University (US)
- Venue
- 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Publisher
- IEEE
- Published
- 2005-08-25
- Volume
- 4
- Pages
- 3477-3480
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2162787094
- Cited by
- 40
- References
- 2
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 2 · 2014: 3 · 2013: 1
- FWCI
- 11.63
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- Defense Technical Information Center (DTIC) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Keywords
- respiratory motion prediction, percutaneous needle insertion, robotic surgery, adaptive modeling, chest wall displacement, optical displacement sensor
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