Automatic identification of return of spontaneous circulation during cardiopulmonary resuscitation.
The main problem during pulse check in out-of-hospital cardiac arrest is the discrimination between normal pulse-generating rhythm (PR) and pulseless electrical activity (PEA). It has been suggested that circulatory information can be acquired by measuring the thoracic impedance via the defibrillator pads. To investigate this, we performed an experimental study where we retrospectively analyzed 127 PEA segments and 91 PR segments out of 219 and 113 segments. A PEA versus PR classification framework was developed, that uses short segments (< 10 s) of ECG and impedance measurements to discriminate between the two rhythms. Using realistic data analyzed over a duration of 3 s, our system correctly identifies 90.0% of the segments with rhythm being pulseless electrical activity, and 91.5% of the normal pulse rhythm segments. Automatic identification of pulse could avoid unnecessary pulse checks and thereby reduce no-flow time and potentially increase the chance of survival.
Risdal
Martin
M
Department of Electrical and Computer Engineering, University of Stavanger, Stavanger 4036, Norway. martin.risdal@roxar.com
Aase
Sven Ole
SO
Kramer-Johansen
Jo
J
Eftestøl
Trygve
T
D001185:Artificial Intelligence; D001775:Blood Circulation / Q000502:physiology*; D001783:Blood Flow Velocity; D002307:Cardiography, Impedance / Q000379:methods*; D016887:Cardiopulmonary Resuscitation / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013813:Therapy, Computer-Assisted / Q000379:methods*