Continuous blood pressure measurement using pulse transit time
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physiology (medical)
Link
http://link.springer.com/content/pdf/10.1007/s11818-013-0617-x.pdf
Reference70 articles.
1. Abibullaev B, Seo HD (2011) A new QRS detection method using wavelets and artificial neural networks. J Med Syst 35:683–691
2. Ahlstrom C, Johansson A, Uhlin F et al (2005) Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients. J Artif Organs 8:192–197
3. Allen J, Murray A (1993) Development of a neural network screening aid for diagnosing lower limb peripheral vascular disease from photoelectric plethysmography pulse waveforms. Physiol Meas 14:13–22
4. Allen J, Murray A (2000) Similarity in bilateral photoplethysmographic peripheral pulse wave characteristics at the ears, thumbs and toes. Physiol Meas 21:369–377
5. Argod J, Pepin JL, Levy P (1998) Differentiating obstructive and central sleep respiratory events through pulse transit time. Am J Respir Crit Care Med 158:1778–1783
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