Analyzing cardiac rhythm in the presence of chest compression artifact for automated shock advisory
Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms bef...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Babaeizadeh, Saeed [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014transfer abstract |
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| Umfang: |
6 |
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| Übergeordnetes Werk: |
Enthalten in: Consensus of generalized integrators: Convergence rate and disturbance attenuation property - Oh, Kwang-Kyo ELSEVIER, 2016, official journal of the International Society for Computerized Electrocardiology and the International Society of Electrocardiology, New York, NY |
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| Übergeordnetes Werk: |
volume:47 ; year:2014 ; number:6 ; pages:798-803 ; extent:6 |
| Links: |
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| DOI / URN: |
10.1016/j.jelectrocard.2014.07.021 |
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| 520 | |a Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. | ||
| 520 | |a Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. | ||
| 700 | 1 | |a Firoozabadi, Reza |4 oth | |
| 700 | 1 | |a Han, Chengzong |4 oth | |
| 700 | 1 | |a Helfenbein, Eric D. |4 oth | |
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10.1016/j.jelectrocard.2014.07.021 doi GBVA2014022000018.pica (DE-627)ELV034252355 (ELSEVIER)S0022-0736(14)00295-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 000 VZ 620 VZ 610 VZ 44.48 bkl Babaeizadeh, Saeed verfasserin aut Analyzing cardiac rhythm in the presence of chest compression artifact for automated shock advisory 2014transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Firoozabadi, Reza oth Han, Chengzong oth Helfenbein, Eric D. oth Enthalten in Elsevier Oh, Kwang-Kyo ELSEVIER Consensus of generalized integrators: Convergence rate and disturbance attenuation property 2016 official journal of the International Society for Computerized Electrocardiology and the International Society of Electrocardiology New York, NY (DE-627)ELV019760574 volume:47 year:2014 number:6 pages:798-803 extent:6 https://doi.org/10.1016/j.jelectrocard.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_72 GBV_ILN_92 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2041 GBV_ILN_2470 GBV_ILN_2498 44.48 Medizinische Genetik VZ AR 47 2014 6 798-803 6 045F 610 |
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10.1016/j.jelectrocard.2014.07.021 doi GBVA2014022000018.pica (DE-627)ELV034252355 (ELSEVIER)S0022-0736(14)00295-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 000 VZ 620 VZ 610 VZ 44.48 bkl Babaeizadeh, Saeed verfasserin aut Analyzing cardiac rhythm in the presence of chest compression artifact for automated shock advisory 2014transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Firoozabadi, Reza oth Han, Chengzong oth Helfenbein, Eric D. oth Enthalten in Elsevier Oh, Kwang-Kyo ELSEVIER Consensus of generalized integrators: Convergence rate and disturbance attenuation property 2016 official journal of the International Society for Computerized Electrocardiology and the International Society of Electrocardiology New York, NY (DE-627)ELV019760574 volume:47 year:2014 number:6 pages:798-803 extent:6 https://doi.org/10.1016/j.jelectrocard.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_72 GBV_ILN_92 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2041 GBV_ILN_2470 GBV_ILN_2498 44.48 Medizinische Genetik VZ AR 47 2014 6 798-803 6 045F 610 |
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10.1016/j.jelectrocard.2014.07.021 doi GBVA2014022000018.pica (DE-627)ELV034252355 (ELSEVIER)S0022-0736(14)00295-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 000 VZ 620 VZ 610 VZ 44.48 bkl Babaeizadeh, Saeed verfasserin aut Analyzing cardiac rhythm in the presence of chest compression artifact for automated shock advisory 2014transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Firoozabadi, Reza oth Han, Chengzong oth Helfenbein, Eric D. oth Enthalten in Elsevier Oh, Kwang-Kyo ELSEVIER Consensus of generalized integrators: Convergence rate and disturbance attenuation property 2016 official journal of the International Society for Computerized Electrocardiology and the International Society of Electrocardiology New York, NY (DE-627)ELV019760574 volume:47 year:2014 number:6 pages:798-803 extent:6 https://doi.org/10.1016/j.jelectrocard.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_72 GBV_ILN_92 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2041 GBV_ILN_2470 GBV_ILN_2498 44.48 Medizinische Genetik VZ AR 47 2014 6 798-803 6 045F 610 |
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10.1016/j.jelectrocard.2014.07.021 doi GBVA2014022000018.pica (DE-627)ELV034252355 (ELSEVIER)S0022-0736(14)00295-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 000 VZ 620 VZ 610 VZ 44.48 bkl Babaeizadeh, Saeed verfasserin aut Analyzing cardiac rhythm in the presence of chest compression artifact for automated shock advisory 2014transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Firoozabadi, Reza oth Han, Chengzong oth Helfenbein, Eric D. oth Enthalten in Elsevier Oh, Kwang-Kyo ELSEVIER Consensus of generalized integrators: Convergence rate and disturbance attenuation property 2016 official journal of the International Society for Computerized Electrocardiology and the International Society of Electrocardiology New York, NY (DE-627)ELV019760574 volume:47 year:2014 number:6 pages:798-803 extent:6 https://doi.org/10.1016/j.jelectrocard.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_72 GBV_ILN_92 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2041 GBV_ILN_2470 GBV_ILN_2498 44.48 Medizinische Genetik VZ AR 47 2014 6 798-803 6 045F 610 |
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10.1016/j.jelectrocard.2014.07.021 doi GBVA2014022000018.pica (DE-627)ELV034252355 (ELSEVIER)S0022-0736(14)00295-7 DE-627 ger DE-627 rakwb eng 610 610 DE-600 000 VZ 620 VZ 610 VZ 44.48 bkl Babaeizadeh, Saeed verfasserin aut Analyzing cardiac rhythm in the presence of chest compression artifact for automated shock advisory 2014transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. Firoozabadi, Reza oth Han, Chengzong oth Helfenbein, Eric D. oth Enthalten in Elsevier Oh, Kwang-Kyo ELSEVIER Consensus of generalized integrators: Convergence rate and disturbance attenuation property 2016 official journal of the International Society for Computerized Electrocardiology and the International Society of Electrocardiology New York, NY (DE-627)ELV019760574 volume:47 year:2014 number:6 pages:798-803 extent:6 https://doi.org/10.1016/j.jelectrocard.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_72 GBV_ILN_92 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2041 GBV_ILN_2470 GBV_ILN_2498 44.48 Medizinische Genetik VZ AR 47 2014 6 798-803 6 045F 610 |
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Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. |
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Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. |
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Defibrillation is often required to terminate a ventricular fibrillation or fast ventricular tachycardia rhythm and resume a perfusing rhythm in sudden cardiac arrest patients. Automated external defibrillators rely on automatic ECG analysis algorithms to detect the presence of shockable rhythms before advising the rescuer to deliver a shock. For a reliable rhythm analysis, chest compression must be interrupted to prevent corruption of the ECG waveform due to the artifact induced by the mechanical activity of compressions. However, these hands-off intervals adversely affect the success of treatment. To minimize the hands-off intervals and increase the chance of successful resuscitation, we developed a method which asks for interrupting the compressions only if the underlying ECG rhythm cannot be accurately determined during chest compressions. Using this method only a small percentage of cases need compressions interruption, hence a significant reduction in hands-off time is achieved. Our algorithm comprises a novel filtering technique for the ECG and thoracic impedance waveforms, and an innovative method to combine analysis from both filtered and unfiltered data. Requiring compression interruption for only 14% of cases, our algorithm achieved a sensitivity of 92% and specificity of 99%. |
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