Abstract
The use of accelerometer (ACC) sensors above the carotid artery provides an interesting approach to pulse detection during Cardiopulmonary Resuscitation (CPR) efforts. In order to study the basic feasibility of these ACC sensors in a resuscitation scenario, a protocol was designed with the aim of simulating characteristics present in a real-life scenario under controlled conditions. Using this protocol, a dataset of 12 healthy volunteers’ signals was created. For each subject two ACC signals, electrocardiogram (ECG) and photoplethysmography (PPG) were measured synchronously. Additionally, a dataset from a previous study of 5 patients undergoing real-life CPR was available allowing for a comparison between the behavior of the simulated acquired data with real-life signals. Using these two datasets, technical solutions were developed with two different classifiers discriminating artefacts, compressions, pulse and absence of pulse.
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Jesus, D., Carvalho, P., Muehlsteff, J., Couceiro, R. (2020). Cardiopulmonary Resuscitation Support Using Accelerometer Signals from the Carotid. In: Lin, KP., Magjarevic, R., de Carvalho, P. (eds) Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices. ICBHI 2019. IFMBE Proceedings, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-030-30636-6_44
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DOI: https://doi.org/10.1007/978-3-030-30636-6_44
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