The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method
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Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
(1965) · The Lancet · doi:10.1016/s0140-6736(65)91037-8 · Cited by 16,856
Mitchell, G. F., Parise, H., Benjamin, E. J., Larson, M. G., Keyes, M. J., Vita, J. A., Vasan, R. S., & Levy, D. (2004) · Hypertension · doi:10.1161/01.hyp.0000128420.01881.aa · Cited by 1,501
Calculating correlation coefficients with repeated observations: Part 2—correlation between subjects
Bland, J. M., & Altman, D. G. (1995) · BMJ · doi:10.1136/bmj.310.6980.633 · Cited by 1,082
Fifteen years experience with finger arterial pressure monitoring: assessment of the technology
Imholz, B. (1998) · Cardiovascular Research · doi:10.1016/s0008-6363(98)00067-4 · Cited by 834
Chen, W., Kobayashi, T., Ichikawa, S., Takeuchi, Y., & Togawa, T. (2000) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345755 · Cited by 425
Pulse transit time measured from the ECG: an unreliable marker of beat-to-beat blood pressure
Payne, R. A., Symeonides, C. N., Webb, D. J., & Maxwell, S. R. J. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00657.2005 · Cited by 418
Pulse wave analysis and pulse wave velocity: a critical review of their strengths and weaknesses
Davies, J. I., & Struthers, A. D. (2003) · Journal of Hypertension · doi:10.1097/00004872-200303000-00004 · Cited by 289
Comparison of Indirect and Direct Methods of Measuring Arterial Blood Pressure
VAN BERGEN, F. H., WEATHERHEAD, D. S., TRELOAR, A. E., DOBKIN, A. B., & BUCKLEY, J. J. (1954) · Circulation · doi:10.1161/01.cir.10.4.481 · Cited by 195
Vascular stiffening and arterial complianceImplications for systolic blood pressure
SCHIFFRIN, E. (2004) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2004.08.019 · Cited by 183
Cited by
Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice
Mukkamala, R., Hahn, J.-O., Inan, O. T., Mestha, L. K., Kim, C.-S., Toreyin, H., & Kyal, S. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2441951 · Cited by 935
“Calibration Frequency: The calibration curve has been constructed both one time at the beginning of a study [94], [145], [155], [170], [173]–[176], [179], [180] and periodically throughout a study [143], [169], [172], [177], [178], [182].”
BackgroundMethodInfluentialCuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
Kachuee, M., Kiani, M. M., Mohammadzade, H., & Shabany, M. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2580904 · Cited by 621
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
Slapničar, G., Mlakar, N., & Luštrek, M. (2019) · Sensors · doi:10.3390/s19153420 · Cited by 387
Advances in Photopletysmography Signal Analysis for Biomedical Applications
Moraes, J. L., Rocha, M. X., Vasconcelos, G. G., Vasconcelos Filho, J. E., De Albuquerque, V. H. C., & Alexandria, A. R. (2018) · Sensors · doi:10.3390/s18061894 · Cited by 292
Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review
Sharma, M., Barbosa, K., Ho, V., Griggs, D., Ghirmai, T., Krishnan, S., Hsiai, T., Chiao, J.-C., & Cao, H. (2017) · Technologies · doi:10.3390/technologies5020021 · Cited by 226
Metadata
- Authors
- Gesche, H., Grosskurth, D., Küchler, G., & Patzak, A.
- Venue
- European Journal of Applied Physiology
- Published
- 2011-05-10
- Volume
- 112
- Issue
- 1
- Pages
- 309-315
- ISSN
- 0020-9376 (ISSN-L)
- 1439-6319
- 1439-6327
- OpenAlex
- W2111256021
- Cited by
- 470
- References
- 29
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method. https://app.cochat.ai/papers/10.1007/s00421-011-1983-3
- The paper
- Gesche, H., Grosskurth, D., Küchler, G., & Patzak, A. (2012). Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method. European Journal of Applied Physiology. https://doi.org/10.1007/s00421-011-1983-3
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.