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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

An adaptive Kalman filter approach for cardiorespiratory signal extraction and fusion of non-contacting sensors

  • Jerome Foussier1Email author,
  • Daniel Teichmann1,
  • Jing Jia2,
  • Berno Misgeld1 and
  • Steffen Leonhardt1
BMC Medical Informatics and Decision Making201414:37

DOI: 10.1186/1472-6947-14-37

Received: 5 November 2013

Accepted: 29 April 2014

Published: 9 May 2014

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
5 Nov 2013 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
14 Nov 2013 Author responded Author comments - Jerome Foussier
Resubmission - Version 3
14 Nov 2013 Submitted Manuscript version 3
10 Dec 2013 Author responded Author comments - Jerome Foussier
Resubmission - Version 4
10 Dec 2013 Submitted Manuscript version 4
31 Jan 2014 Author responded Author comments - Jerome Foussier
Resubmission - Version 5
31 Jan 2014 Submitted Manuscript version 5
24 Mar 2014 Reviewed Reviewer Report - Yuan Luo
25 Mar 2014 Reviewed Reviewer Report - Jialan Que
16 Apr 2014 Author responded Author comments - Jerome Foussier
Resubmission - Version 6
16 Apr 2014 Submitted Manuscript version 6
Publishing
29 Apr 2014 Editorially accepted
9 May 2014 Article published 10.1186/1472-6947-14-37

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Philips Chair for Medical Information Technology, Aachen University
(2)
Philips Medizin Systeme Böblingen GmbH

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