Patients were divided randomly into 40% training and 60% validation groups. Segments with and without chest compressions were collected prior to each of the first four defibrillation shocks (when available) from each case. Methods: Five-second TTI segments were collected from patients with out-of-hospital cardiac arrest treated by one of four defibrillator models. We sought to develop and evaluate the performance of a TTI-based algorithm to automatically detect chest compressions. In contrast to accelerometer sensors, transthoracic impedance (TTI) is commonly acquired by defibrillators. Real-time automated detection of chest compressions may improve CPR administration during resuscitation, and could facilitate application of next-generation ECG algorithms that employ different parameters depending on compression state. In this paper, the inverse relationship between thoracic impedance and electric shock energy according to the state of the cardiac arrest patient is demonstrated through the results of the experiment, and the need for an electric facility system that can revise for changes in thoracic impedance of the cardiac arrest patient by reflecting them on electric shock energy in real time is presented.read more read lessĪbstract: Objective: Interruptions in chest compressions during treatment of out-of-hospital cardiac arrest are associated with lower likelihood of successful resuscitation. When the first peak current was up to 56.4 (A) and at least 8.4 (A) in the adult mode, the first peak current was up to 32.2 (A) and at least 4.8 (A), respectively, when the impedance changed, the error of the current figure occurred. To prove this, we divided it into adult and pediatric modes and experimented with the energy error of the AED according to the same impedance change. The change in thoracic impedance caused by this has a negative effect on the intended electrical energy of the automatic heart shocker to the emergency patient. In addition, changes in chest statues due to gender, age, and accidents cause changes in thoracic impedance in real time. However, the thoracic impedance of patients changes due to CardioPulmonary Resuscitation (CPR) and artificial respiration during first aid treatment. To this end, an Automated External Defibrillator (AED) is placed in a public place so that even non-professional medical personnel can respond to SCA. This method could be used for both online and offine CPR quality evaluation or to detect artifact free ECG intervals in which a rhythm assesment could be launched.read more read lessĪbstract: Sudden Cardiac Arrest (SCA) is a serious emergency disease that has increased steadily every year. For the test set, the sensitivity and the positive predictive value were 93.9% and 96.2%, respectively. The mean duration of the pauses was 7.0 ± 6.2 s. The method was adjusted and evaluated using a dataset of 3596 pauses corresponding to OHCA episodes. The fuctuations induced by chest compressions were first isolated and emphasized and then, using an adaptive threshold, the intervals without chest compressions were identified. In this work we present a method for the automatic detection of pauses in chest compression using the TTI. Chest compressions and ventilations induce fast and slow fluctuations, respectively, on the transthoracic impedance (TTI). During CPR, chest compressions and ventilations should be provided with a compression-ventilation ratio of 30:2. Abstract: The recommended treatment for out-of-hospital cardiac arrest (OHCA) is immediate cardiopulmonary resuscitation (CPR) and early electrical defibrillation.
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