The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients
Abstract
Severe blood pressure changes are well known in hemodialysis. Detection and prediction of these are important for the well-being of the patient and for optimizing treatment. New noninvasive methods for this purpose are required. The pulse wave transit time technique is an indirect estimation of blood pressure, and our intention is to investigate whether this technique is applicable for hemodialysis treatment. A measurement setup utilizing lower body negative pressure and isometric contraction was used to simulate dialysis-related blood pressure changes in normal test subjects. Systolic blood pressure levels were compared to different pulse wave transit times, including and excluding the cardiac preejection period. Based on the results of these investigations, a pulse wave transit time technique adapted for dialysis treatment was developed and tried out on patients. To determine systolic blood pressure in the normal group, the total pulse wave transit time was found most suitable (including the cardiac preejection period). Correlation coefficients were r = 0.80 +/- 0.06 (mean +/- SD) overall and r = 0.81 +/- 0.16 and r = 0.09 +/- 0.62 for the hypotension and hypertension phases, respectively. When applying the adapted technique in dialysis patients, large blood pressure variations could easily be detected when present. Pulse wave transit time is correlated to systolic blood pressure within the acceptable range for a trend-indicating system. The method's applicability for dialysis treatment requires further studies. The results indicate that large sudden pressure drops, like those seen in sudden hypovolemia, can be detected.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The Moens-Korteweg equation provides a linear relationship between PAT and BP (38 , 39).”
From Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care (2019) · cites this paper as [38]
Citations
Cites
Chen, W., Kobayashi, T., Ichikawa, S., Takeuchi, Y., & Togawa, T. (2000) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345755 · Cited by 425
Lantelme, P., Mestre, C., Lièvre, M. M., Gressard, A., & Milon, H. (2002) · Hypertension · doi:10.1161/01.hyp.0000019132.41066.95 · Cited by 353
The difference in pulse transit time to the toe and finger measured by photoplethysmography
Nitzan, M., Khanokh, B., & Slovik, Y. (2001) · Physiological Measurement · doi:10.1088/0967-3334/23/1/308 · Cited by 218
Physiological effects of locally applied reduced pressure in man.
Wolthuis, R. A., Bergman, S. A., & NICOGOSSIAN, A. E. (1974) · Physiological Reviews · doi:10.1152/physrev.1974.54.3.566 · Cited by 214
Dialysis disequilibrium syndrome: Current Concepts on pathogenesis and prevention
Arieff, A. I. (1994) · Kidney International · doi:10.1038/ki.1994.84 · Cited by 199
Relation between heart rate and pulse transit time during paced respiration
Drinnan, M. J., Allen, J., & Murray, A. (2001) · Physiological Measurement · doi:10.1088/0967-3334/22/3/301 · Cited by 169
陳, 文. (2001) · Medical Entomology and Zoology · Cited by 115
Reducing symptoms during hemodialysis by continuously monitoring the hematocrit
Steuer, R. R., Leypoldt, J. K., Cheung, A. K., Senekjian, H. O., & Conis, J. M. (1996) · American Journal of Kidney Diseases · doi:10.1016/s0272-6386(96)90163-8 · Cited by 113
Pulse Transit Time and Blood Pressure: An Intensive Analysis
Lane, J. D., Greenstadt, L., Shapiro, D., & Rubinstein, E. H. (1983) · Psychophysiology · doi:10.1111/j.1469-8986.1983.tb00899.x · Cited by 107
Pollak, M. H., & Obrist, P. A. (1983) · Psychophysiology · doi:10.1111/j.1469-8986.1983.tb00895.x · Cited by 94
Relationships ol Pulse Transmission Times to Pre‐ejection Period and Blood Pressure
Newlin, D. B. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb03042.x · Cited by 89
Marie, G. V., Lo, C. R., Jones, J. V., & Johnston, D. W. (1984) · Psychophysiology · doi:10.1111/j.1469-8986.1984.tb00235.x · Cited by 63
Time-frequency analysis of heart sounds
El-Asir, B., Khadra, L., Alabbasi, A., & Mohammed, M. (2002) · Digital Processing Applications · doi:10.1109/tencon.1996.608401 · Cited by 52
The Covariation of Blood Pressure and Pulse Transit Time in Hypertensive Patients
Allen, R. A., Schneider, J. A., Davidson, D. M., Winchester, M. A., & Taylor, C. B. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb03038.x · Cited by 45
Wippermann, C. F., Schranz, D., & Huth, R. G. (1995) · Journal of Clinical Monitoring · doi:10.1007/bf01616991 · Cited by 36
Dialysis hypotension: do we see light at the end of the tunnel?
Passauer, J., Büssemaker, E., & Gross, P. (1998) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/13.12.3024 · Cited by 32
Blood pressure evaluation based on arterial pulse wave velocity
Franchi, D., Bedini, R., Manfredini, F., Berti, S. L., Palagi, G., Ghione, S., & Ripoli, A. (2002) · Computers in cardiology · doi:10.1109/cic.1996.542557 · Cited by 24
Mechanisms in man for rapid refill of the circulatory system in hypovolaemia
Länne, T., & LUNDVALL, J. (1992) · Acta Physiologica Scandinavica · doi:10.1111/j.1748-1716.1992.tb09423.x · Cited by 23
Self-citationLigtenberg, G., Blankestijn, P. J., Oey, P. L., Wieneke, G. H., van Huffelen, A. C., & Koomans, H. A. (1997) · Circulation · doi:10.1161/01.cir.95.9.2271 · Cited by 22
Ligtenberg, G., Blankestijn, P. J., & Koomans, H. A. (1998) · Nephrology Dialysis Transplantation · doi:10.1093/oxfordjournals.ndt.a027837 · Cited by 7
Flagged first, then by citations
Research works printed but not linked: 2
- D Franchi, 1996, Comput Cardiol, 23, 108
- WG Chochran, 1989, Statistical methods
Cited by
Sorted by citations
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
“Similar foot location definitions have been applied to PPG waveforms, including the 1) diastolic minimum time [142]–[144], 2) intersecting tangent method [98], 3) times of maximum derivatives with respect to time [145]– [148], and 4) time to reach a fraction of the pulse height [143], [147].”
MethodBinodal, 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
“The Moens-Korteweg equation provides a linear relationship between PAT and BP (38, 39).”
MethodHeart rate measurement based on a time-lapse image.
Takano, C., & Ohta, Y. (2007) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2006.09.006 · Cited by 345
Novel Wireless Devices for Cardiac Monitoring
Walsh, J. A., Topol, E. J., & Steinhubl, S. R. (2014) · Circulation · doi:10.1161/circulationaha.114.009024 · Cited by 175
Kim, C., Carek, A. M., Mukkamala, R., Inan, O. T., & Hahn, J. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2440291 · Cited by 155
Metadata
- Authors
- Ahlstrom, C., Johansson, A., Uhlin, F., Länne, T., & Ask, P.
- Affiliations
- Linköping University (SE)
- Linköping University Hospital (SE)
- Corresponding author
- Ahlstrom, Christer
- Venue
- Journal of Artificial Organs
- Published
- 2005-10-20
- Volume
- 8
- Issue
- 3
- Pages
- 192-197
- ISSN
- 1434-7229 (ISSN-L)
- 1619-0904
- OpenAlex
- W2047693489
- Cited by
- 104
- References
- 20
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 2 · 2020: 8 · 2019: 10 · 2018: 7 · 2017: 5 · 2016: 8 · 2015: 6 · 2014: 10 · 2013: 4 · 2012: 2
- FWCI
- 4.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Artificial Organs (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Keywords
- pulse transit time, blood pressure monitoring, hemodialysis, non-invasive blood pressure estimation, systolic blood pressure, hypotension, hypertension, hypovolemia, lower body negative pressure, isometric contraction
- MeSH terms
- Adult, Aged, Blood Pressure, Blood Pressure Determination, Female, Renal Dialysis, Humans, Male, Monitoring, Physiologic, Pulse
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
