The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Cuff-less and Noninvasive Measurements of Arterial Blood Pressure by Pulse Transit Time
Abstract
The current blood pressure (BP) measurement devices are mostly built on the principle of auscultation, oscillometry or tonometry, all of which use an inflatable cuff to occlude or unload the artery. The need of a cuff in these devices limits the further reduction in size and power consumption, and restricts the frequency and ease of their usage. Therefore, this study aims to develop a cuff-less and noninvasive technique for measuring BP by pulse transit time. The technique was evaluated on 85 subjects, aged 57+/-29 yrs., including 36 males and 39 hypertensives, over an average period of 6.4 wks. A total of 999 pairs of systolic BP (SBP) and diastolic BP (DBP) estimations were made. The average of BP readings reported by an experienced registered nurse and those obtained from a clinically approved automatic BP meter was used as reference. It is found that the estimated SBP and DBP differed from the reference BP by 0.6+/-9.8mmHg and 0.9+/-5.6mmHg respectively. When compared to the AAMI requirement (5+/-8mmHg for both SBP and DBP estimation), the results suggest that the cuff-less technology has great potential to be developed into wearable devices that are useful in self BP monitoring for home healthcare and eventually in clinical diagnosis.
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Cites
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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
“The time delay between the ECG waveform and a distal arterial waveform has been called the pulse arrival time (PAT) [47], m-pulse wave transit time [48], or simply PTT [94].”
BackgroundMethodResultInfluentialUnobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G.-Z., Zhao, N., & Zhang, Y.-T. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 722
Self-citationCuffless 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
Smart wearable body sensors for patient self-assessment and monitoring
Appelboom, G., Camacho, E., Abraham, M. E., Bruce, S. S., Dumont, E. L., Zacharia, B. E., D’Amico, R., Slomian, J., Reginster, J. Y., Bruyère, O., et al. (2014) · Archives of Public Health · doi:10.1186/2049-3258-72-28 · Cited by 448
Bonato, P. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2010.936554 · Cited by 423
Metadata
- Authors
- Poon, C. C. Y., & Zhang, Y. T.
- Venue
- 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
- Publisher
- IEEE
- Published
- 2005
- Volume
- 2005
- Pages
- 5877-5880
- OpenAlex
- W2167925220
- Cited by
- 375
- References
- 11
- FWCI
- 25.63
- Type
- conference paper
- Language
- en
- Open access
- closed
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