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Items: 1 to 20 of 22

1.

Modeling the impact of ventilations on the capnogram in out-of-hospital cardiac arrest.

Gutiérrez JJ, Ruiz JM, Ruiz de Gauna S, González-Otero DM, Leturiondo M, Russell JK, Corcuera C, Urtusagasti JF, Daya MR.

PLoS One. 2020 Feb 5;15(2):e0228395. doi: 10.1371/journal.pone.0228395. eCollection 2020.

2.

Association of chest compression and recoil velocities with depth and rate in manual cardiopulmonary resuscitation.

González-Otero DM, Russell JK, Ruiz JM, Ruiz de Gauna S, Gutiérrez JJ, Leturiondo LA, Daya MR.

Resuscitation. 2019 Sep;142:119-126. doi: 10.1016/j.resuscitation.2019.07.023. Epub 2019 Jul 29.

PMID:
31369793
3.

Enhancement of capnogram waveform in the presence of chest compression artefact during cardiopulmonary resuscitation.

Ruiz de Gauna S, Leturiondo M, Gutiérrez JJ, Ruiz JM, González-Otero DM, Russell JK, Daya M.

Resuscitation. 2018 Dec;133:53-58. doi: 10.1016/j.resuscitation.2018.09.024. Epub 2018 Sep 29.

PMID:
30278204
4.

Enhancing ventilation detection during cardiopulmonary resuscitation by filtering chest compression artifact from the capnography waveform.

Gutiérrez JJ, Leturiondo M, Ruiz de Gauna S, Ruiz JM, Leturiondo LA, González-Otero DM, Zive D, Russell JK, Daya M.

PLoS One. 2018 Aug 2;13(8):e0201565. doi: 10.1371/journal.pone.0201565. eCollection 2018.

5.

Can chest compression release rate or recoil velocity identify rescuer leaning in out-of-hospital cardiopulmonary resuscitation?

Russell JK, González-Otero DM, Ruiz de Gauna S, Daya M, Ruiz J.

Resuscitation. 2018 Sep;130:133-137. doi: 10.1016/j.resuscitation.2018.06.037. Epub 2018 Jun 30.

PMID:
29969643
6.

Circulation assessment by automated external defibrillators during cardiopulmonary resuscitation.

Ruiz JM, Ruiz de Gauna S, González-Otero DM, Saiz P, Gutiérrez JJ, Veintemillas JF, Bastida JM, Alonso D.

Resuscitation. 2018 Jul;128:158-163. doi: 10.1016/j.resuscitation.2018.04.036. Epub 2018 May 4.

PMID:
29733921
7.

Performance of cardiopulmonary resuscitation feedback systems in a long-distance train with distributed traction.

González-Otero DM, Ruiz de Gauna S, Ruiz J, Rivero R, Gutierrez JJ, Saiz P, Russell JK.

Technol Health Care. 2018;26(3):529-535. doi: 10.3233/THC-181241.

8.

Monitoring chest compression quality during cardiopulmonary resuscitation: Proof-of-concept of a single accelerometer-based feedback algorithm.

González-Otero DM, Ruiz JM, Ruiz de Gauna S, Gutiérrez JJ, Daya M, Russell JK, Azcarate I, Leturiondo M.

PLoS One. 2018 Feb 14;13(2):e0192810. doi: 10.1371/journal.pone.0192810. eCollection 2018.

9.

Influence of chest compression artefact on capnogram-based ventilation detection during out-of-hospital cardiopulmonary resuscitation.

Leturiondo M, Ruiz de Gauna S, Ruiz JM, Julio Gutiérrez J, Leturiondo LA, González-Otero DM, Russell JK, Zive D, Daya M.

Resuscitation. 2018 Mar;124:63-68. doi: 10.1016/j.resuscitation.2017.12.013. Epub 2017 Dec 12.

PMID:
29246741
10.

A Feasibility Study for Measuring Accurate Chest Compression Depth and Rate on Soft Surfaces Using Two Accelerometers and Spectral Analysis.

Ruiz de Gauna S, González-Otero DM, Ruiz J, Gutiérrez JJ, Russell JK.

Biomed Res Int. 2016;2016:6596040. doi: 10.1155/2016/6596040. Epub 2016 Nov 24.

11.

Feedback on the Rate and Depth of Chest Compressions during Cardiopulmonary Resuscitation Using Only Accelerometers.

Ruiz de Gauna S, González-Otero DM, Ruiz J, Russell JK.

PLoS One. 2016 Mar 1;11(3):e0150139. doi: 10.1371/journal.pone.0150139. eCollection 2016.

12.

Chest compression rate feedback based on transthoracic impedance.

González-Otero DM, Ruiz de Gauna S, Ruiz J, Daya MR, Wik L, Russell JK, Kramer-Johansen J, Eftestøl T, Alonso E, Ayala U.

Resuscitation. 2015 Aug;93:82-8. doi: 10.1016/j.resuscitation.2015.05.027. Epub 2015 Jun 5.

PMID:
26051811
13.

Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics.

Alonso E, Ruiz J, Aramendi E, González-Otero D, Ruiz de Gauna S, Ayala U, Russell JK, Daya M.

Resuscitation. 2015 Mar;88:28-34. doi: 10.1016/j.resuscitation.2014.11.027. Epub 2014 Dec 15.

PMID:
25524362
14.

A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitation.

González-Otero DM, Ruiz J, Ruiz de Gauna S, Irusta U, Ayala U, Alonso E.

Biomed Res Int. 2014;2014:865967. doi: 10.1155/2014/865967. Epub 2014 Aug 28.

15.

Rhythm analysis during cardiopulmonary resuscitation: past, present, and future.

Ruiz de Gauna S, Irusta U, Ruiz J, Ayala U, Aramendi E, Eftestøl T.

Biomed Res Int. 2014;2014:386010. doi: 10.1155/2014/386010. Epub 2014 Jan 9. Review.

16.

Can thoracic impedance monitor the depth of chest compressions during out-of-hospital cardiopulmonary resuscitation?

Alonso E, González-Otero D, Aramendi E, Ruiz de Gauna S, Ruiz J, Ayala U, Russell JK, Daya M.

Resuscitation. 2014 May;85(5):637-43. doi: 10.1016/j.resuscitation.2013.12.035. Epub 2014 Jan 23.

PMID:
24463220
17.

Direct evaluation of the effect of filtering the chest compression artifacts on the uninterrupted cardiopulmonary resuscitation time.

Ruiz J, Ayala U, Ruiz de Gauna S, Irusta U, González-Otero D, Aramendi E, Alonso E, Eftestøl T.

Am J Emerg Med. 2013 Jun;31(6):910-5. doi: 10.1016/j.ajem.2013.02.044. Epub 2013 May 14.

PMID:
23680330
18.

A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and children.

Irusta U, Ruiz J, Aramendi E, Ruiz de Gauna S, Ayala U, Alonso E.

Resuscitation. 2012 Sep;83(9):1090-7. doi: 10.1016/j.resuscitation.2012.01.032. Epub 2012 Feb 6.

PMID:
22322285
19.

Cardiopulmonary resuscitation artefact suppression using a Kalman filter and the frequency of chest compressions as the reference signal.

Ruiz J, Irusta U, Ruiz de Gauna S, Eftestøl T.

Resuscitation. 2010 Sep;81(9):1087-94. doi: 10.1016/j.resuscitation.2010.02.031. Epub 2010 Jun 17.

PMID:
20732603
20.

A least mean-square filter for the estimation of the cardiopulmonary resuscitation artifact based on the frequency of the compressions.

Irusta U, Ruiz J, de Gauna SR, Eftestøl T, Kramer-Johansen J.

IEEE Trans Biomed Eng. 2009 Apr;56(4):1052-62. doi: 10.1109/TBME.2008.2010329. Epub 2009 Jan 13.

PMID:
19150778

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