Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm-Reference-Cited by-同舟云学术

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Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm

Published:2015-11-04 Issue:7 Volume:54 Page:1111-1121
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Sommermeyer Dirk,Zou Ding,Ficker Joachim H.,Randerath Winfried,Fischer Christoph,Penzel Thomas,Sanner Bernd,Hedner Jan,Grote Ludger

Funder

Weinmann Geräte für Medizin GmbH & Co.KG, MCC GmbH & Co.KG

German Ministry for Education and Science (BMBF)

Hjärt-Lungfonden (SE)

Gothenburg Medical Society

Sahlgrenska Academy at the University of Gothenburg

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-015-1410-8.pdf

Reference28 articles.

1. Aittokallio J, Polo O, Hiissa J, Virkki A, Toikka J, Raitakari O, Saaresranta T, Aittokallio T (2008) Overnight variability in transcutaneous carbon dioxide predicts vascular impairment in women. Exp Physiol 93(7):880–891

2. Aittokallio J, Saaresranta T, Virkki A, Karppinen N, Heinonen OJ, Aittokallio T, Polo O (2009) Transcutaneous carbon dioxide profile during sleep reveals metabolic risk factors in postmenopausal females. Eur Respir J 34:1132–1139

3. Allen J (2007) Photoplethysmography and its application in clinical physiological measurement. Physiol Meas 28:R1–R39

4. Bergeaud F, Mallat S (1995) Matching pursuit of images. In: Proceedings of the international conference on image processing, vol 1, pp 53–56

5. Buchs A, Slovik Y, Rapoport M, Rosenfeld C, Khanokh B, Nitzan M (2005) Right–left correlation of the sympathetically induced fluctuations of photoplethysmographic signal in diabetic and non-diabetic subjects. Med Biol Eng Comput 43(2):252–257

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