Evaluating the Performance of State of the Art Algorithms for Enhancement of Seismocardiogram Signals-Reference-Cited by-同舟云学术

Evaluating the Performance of State of the Art Algorithms for Enhancement of Seismocardiogram Signals

Published:2016-11-23 Issue: Volume: Page:37-45
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Aditya Sundar ,Vivek Pahwa

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-2035-3_5

Reference20 articles.

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2. Mikko Paukkunen, “Seismocardiography: Practical implementation and feasibility”, Aalto University publication series, Doctoral dissertations 145/2014, (2014) ISBN 978-952-60-5874-0

3. Kenneth J. Schlager, Bruce H. Boehlen, Stephen H. Gorski, Automated seismic detection of myocardial ischemia and related measurement of cardiac output parameters, US Patent US6024705 A, (2000)

4. Zanetti J.M, Poliac M.O., Crow R.S, Seismocardiography: waveform identification and noise analysis, Proceedings of IEEE Computers in Cardiology 1991, Pg. 49–52 (1991), doi: 10.1109/CIC.1991.169042

5. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages; http://circ.ahajournals.org/cgi/content/full/101/23/e215 ]; 2000 (June 13).

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