The DOI matches its Crossref record; 40 of the 41 references it cites were found in a registry or an index.
Pulse transit time measured from the ECG: an unreliable marker of beat-to-beat blood pressure
Abstract
The arterial pulse-wave transit time can be measured between the ECG R-wave and the finger pulse ( rPTT), and has been shown previously to have a linear correlation with blood pressure (BP). We hypothesized that the relationship between rPTT, preejection period (PEP; the R-wave/mechanical cardiac delay), and BP would vary with different vasoactive drugs. Twelve healthy men (mean age 22 yr) were studied. Beat-to-beat measurements were made of rPTT (using ECG and photoplethysmograph finger probe), intra-arterial radial pressure, PEP (using cardiac bioimpedance), and transit time minus PEP ( pPTT). Four drugs (glyceryl trinitrate, angiotensin II, norepinephrine, salbutamol) were administered intravenously over 15 min, with stepped dosage increase every 5 min and a 25-min saline washout between agents. All subjects in all conditions had a negative linear correlation ( R 2 = 0.39) between rPTT and systolic BP (SBP), generally constant between different drugs, apart from four subjects who had a positive rPTT/SBP correlation with salbutamol. The 95% limits of agreement between measured and rPTT-predicted SBP were ±17.0 mmHg. Beat-to-beat variability of rPTT showed better coherence with SBP variability than it did with heart rate variability ( P < 0.001). PEP accounted for a substantial and variable proportion of rPTT (12–35%). Diastolic (DBP) and mean arterial BP (MAP) correlated poorly with rPTT ( R 2 = 0.02 and 0.08, respectively) but better with pPTT ( rPTT corrected for PEP, R 2 = 0.41 and 0.45, respectively). The 95% limits of agreement between measured and pPTT-predicted DBP were ± 17.3 mmHg. In conclusion, the negative correlation between rPTT and SBP is generally constant, even with marked hemodynamic perturbations. However, the relationship is not reliable enough for rPTT to be used as a surrogate marker of SBP, although it may be useful in assessing BP variability. DBP and MAP cannot be predicted from rPTT without correction for PEP. The significant contribution of PEP to rPTT means that rPTT should not be used as a marker of purely vascular function.
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“The results for HR and SpO2 are within the regulatory guidelines set by the US Food and Drug Administration (FDA), which require errors less than ± 10 % or ± 5 bpm for HR and less than 3.5 % for Arms for reflectance mode SpO226,27.”
From Skin-interfaced biosensors for advanced wireless physiological monitoring in neonatal and pediatric intensive-care units (2020) · cites this paper as [27]
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Cites
McDonald's blood flow in arteries; theoretical, experimental and clinical principles
(1992) · General Pharmacology The Vascular System · doi:10.1016/0306-3623(92)90079-y · Cited by 2,395
Parati, G., Saul, J. P., Di Rienzo, M., & Mancia, G. (1995) · Hypertension · doi:10.1161/01.hyp.25.6.1276 · Cited by 849
Dave, K. A., & White, S. W. (2002) · World Highways/Routes du Monde · Cited by 767
The revision of the Declaration of Helsinki: past, present and future
Carlson, R. V., Boyd, K., & Webb, D. J. (2004) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2004.02103.x · Cited by 723
Self-citationPhotoelectric measurement of blood pressure, volume and flow in the finger
Peňáz, J. (1973) · Medical Entomology and Zoology · Cited by 528
Brien, E. O., Petrie, J. C., Little, W. C., de Swiet, M., Padfield, P. L., Altma, D. G., Bland, M., Coats, A. J. S., & Atkins, N. (1993) · Journal of Hypertension · doi:10.1097/00004872-199306000-00013 · Cited by 518
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
Arterial baroreflex function and cardiovascular variability: interactions and implications
Lanfranchi, P. A., & Somers, V. K. (2002) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00051.2002 · Cited by 340
Determination of pulse wave velocities with computerized algorithms
Chiu, Y. C., Arand, P. W., Shroff, S. G., Feldman, T. E., & Carroll, J. D. (1991) · American Heart Journal · doi:10.1016/0002-8703(91)90153-9 · Cited by 313
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Recommendation in Measuring Digital Volume Pulse for Mobile Application (Preprint)Preprint
Seok, H. S., & Shin, H. (2020) · doi:10.2196/preprints.24159
Castro, A., Carvalho, P., Muehlsteff, J., Mattos, S. D. S., & Coimbra, M. T. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-3158-6.ch045
Development of a Reflective PPG Signal Sensor
Zhang, C., & Li, X. (2023) · Engineering Advances · doi:10.26855/ea.2023.02.009
Design of a Passive UHF/UWB Tag for Vital Signs Measurement
Costa, C. B., Brasil, G. T., Linhares, G. C., Rocha, A. R. D. S., Andrade, I. D. S., da Silva, V. G., do Amaral, W. A., & Arboleda, D. M. M. (2023) · Workshop on Communication Networks and Power Systems (WCNPS) · doi:10.1109/wcnps60622.2023.10344559
Song, X., & Ding, X. (2024) · Connected Health And Telemedicine · doi:10.20517/chatmed.2023.30
Comparison of Single Foot IPG and PPG as a Distal PAT in Wearable Devices
García-Limón, J. A., Casas, Ó., Alvarado-Serrano, C., & Casanella, R. (2025) · IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · doi:10.1109/metroind4.0iot66048.2025.11122060
Revisiting the relationship between pulse transit time and arterial stiffness
Yoshida, M., Dajani, H. R., Bolić, M., & Groza, V. F. (2025) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-025-03115-2
Yu, X., Wang, T., Zhang, L., Cai, C., Feng, Z., & He, N. (2025) · International Conference on Bioinformatics and Biomedical Technology (ICBBT) · doi:10.1109/icbbt65815.2025.11276509
Traiwannakij, S., Tripipitsiriwat, A., Kunanon, S., Lertsilp, D., Promkeam-on, P., Choeycheep, P., & Chierakul, N. (2026) · Sleep And Breathing · doi:10.1007/s11325-026-03601-6
Suleimenova, A., Burgess, B. L., Choi, J., Park, J.-G., & Kim, T. (2026) · IEEE Access · doi:10.1109/access.2026.3665255
Non-invasive Evaluation of Cardiovascular Dynamics Using Statistical Learning Tools
Aguirre, N. A. (2023) · theses.fr (ABES) · doi:10.70675/0d0519bfzb38bz4b9fzab46z8a255d75d280
Alzubaidi, A. H., Al-Shuwaili, A., & Al-Bayaty, A. (2026) · International Conference on Computing and Emerging Sciences · doi:10.1145/3797491.3797535
Yu, Y., & Lowe, A. (2026) · Hypertension Research · doi:10.1038/s41440-026-02651-3
Cardiovascular Aging and Damage in Patients with Iron Overload
Gruszecki, M., Młodziński, K., Świątczak, M., Gruszecka, A., Bujnowski, A., Lewandowska, A., Karmoliski, S., Kaufmann, D., & Daniłowicz‐Szymanowicz, L. (2026) · Biomedicines · doi:10.3390/biomedicines14071487
Berg, K., Kantelhardt, J. W., Glos, M., Penzel, T., Wessel, N., & Bartsch, R. P. (2026) · PLoS ONE · doi:10.1371/journal.pone.0339755
Arterial blood pressure waveform reconstruction estimation from PPG using TCN–BiLSTM
Loumissi, H., Barra, A., Messaoudi, N., & Medromi, H. (2026) · American Heart Journal Plus Cardiology Research and Practice · doi:10.1016/j.ahjo.2026.100837
Wang, M., Chen, L., Yin, M., Zhang, B., Wu, J., Sun, H., Yan, L., Wei, B., Zhang, F., Bi, C., et al. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1883295
Xu, X., Zheng, W., Song, Y., Sun, Z., Ye, Q., Tao, Y., Dai, C., Dong, K., & Liu, Q. (2026) · Sensor Review · doi:10.1108/sr-03-2026-0314
Seguimiento de cambios hemodinámicos mediante la detección del intervalo RJ en tiempo real
Gomez-Clapers, J., Casanella, R., & Areny, R. P. (2010) · RECERCAT (Consorci de Serveis Universitaris de Catalunya)
Metadata
- Authors
- Payne, R. A., Symeonides, C. N., Webb, D. J., & Maxwell, S. R. J.
- Affiliations
- Western General Hospital (GB)
- University of Edinburgh (GB)
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2006-01
- Volume
- 100
- Issue
- 1
- Pages
- 136-141
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2059208589
- Cited by
- 418
- References
- 41
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 15 · 2023: 18 · 2022: 16 · 2021: 25 · 2020: 39 · 2019: 32 · 2018: 40 · 2017: 28 · 2016: 31 · 2015: 18 · 2014: 19 · 2013: 13 · 2012: 16
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Physiology (publishedVersion)
- PubMed (publishedVersion)
- Explore Bristol Research (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Keywords
- pulse transit time, beat-to-beat blood pressure, pre-ejection period, systolic blood pressure, diastolic blood pressure, mean arterial pressure, vasoactive drugs, nitroglycerin, angiotensin II, norepinephrine, salbutamol, photoplethysmography, blood pressure variability, heart rate variability
- MeSH terms
- Adolescent, Adult, Blood Pressure, Blood Pressure Determination, Diagnosis, Computer-Assisted, Electrocardiography, Heart Rate, Humans, Male, Manometry, Pulsatile Flow, Sensitivity and Specificity, Reproducibility of Results, Photoplethysmography
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