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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

DOI:
10.3791/62386-v

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06:07 min

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May 23, 2021

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, , , , , ,
1Department of Medicine I,University Hospital Munich, Campus Großhadern, Ludwig-Maximilians University Munich (LMU), 2DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), 3Walter Brendel Centre of Experimental Medicine,Ludwig-Maximilians University Munich (LMU)

Chapters

  • 00:04Introduction
  • 00:37Analysis of Basic ECG Parameters
  • 01:40Arrhythmia Detection: A Simplified Manual Approach Using Data Insights
  • 05:04Basic ECG Parameters Over Time in a Drug Intervention Cohort and ECG Traces
  • 05:36Conclusion

Summary

Automatic Translation

Automatic Translation

Here we present a step-by-step protocol for a semiautomated approach to analyze murine long-term electrocardiography (ECG) data for basic ECG parameters and common arrhythmias. Data are obtained by implantable telemetry transmitters in living and awake mice and analyzed using Ponemah and its analysis modules.

Tags

Keywords: ElectrocardiographyECGArrhythmiaMiceSemi-automated ApproachCircadian RhythmHeart RateQRS ComplexBradycardiaSearch Rule

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