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Kern, WJ; Orlob, S; Bohn, A; Toller, W; Wnent, J; Grasner, JT; Holler, M.
Accelerometry-Based Classification of Circulatory States During Out-of-Hospital Cardiac Arrest.
IEEE Trans Biomed Eng. 2023; 70(8):2310-2317 Doi: 10.1109/TBME.2023.3242717
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Co-authors Med Uni Graz
Orlob Simon
Toller Wolfgang
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Abstract:
OBJECTIVE: Exploit accelerometry data for an automatic, reliable, and prompt detection of spontaneous circulation during cardiac arrest, as this is both vital for patient survival and practically challenging. METHODS: We developed a machine learning algorithm to automatically predict the circulatory state during cardiopulmonary resuscitation from 4-second-long snippets of accelerometry and electrocardiogram (ECG) data from pauses of chest compressions of real-world defibrillator records. The algorithm was trained based on 422 cases from the German Resuscitation Registry, for which ground truth labels were created by a manual annotation of physicians. It uses a kernelized Support Vector Machine classifier based on 49 features, which partially reflect the correlation between accelerometry and electrocardiogram data. RESULTS: Evaluating 50 different test-training data splits, the proposed algorithm exhibits a balanced accuracy of 81.2%, a sensitivity of 80.6%, and a specificity of 81.8%, whereas using only ECG leads to a balanced accuracy of 76.5%, a sensitivity of 80.2%, and a specificity of 72.8%. CONCLUSION: The first method employing accelerometry for pulse/no-pulse decision yields a significant increase in performance compared to single ECG-signal usage. SIGNIFICANCE: This shows that accelerometry provides relevant information for pulse/no-pulse decisions. In application, such an algorithm may be used to simplify retrospective annotation for quality management and, moreover, to support clinicians to assess circulatory state during cardiac arrest treatment.
Find related publications in this database (using NLM MeSH Indexing)
Humans - administration & dosage
Out-of-Hospital Cardiac Arrest - diagnosis, therapy
Retrospective Studies - administration & dosage
Cardiopulmonary Resuscitation - methods
Heart Rate - administration & dosage
Electrocardiography - methods

Find related publications in this database (Keywords)
Biomedical monitoring
cardiac arrest
cardiopulmonary resuscitation
pulse check
support vector machine
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