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An adaptive filtering based approach for cardiopulmonary resuscitation quality assessment

In this study, we present an approach for CPR quality evaluation using ECG and thoracic impedance signals via a least mean square based adaptive filter. Then, CPR quality evaluation is performed based on analyzing the spectra and frequencies of input ECG and estimated CPR signals. | Journal of Science & Technology 131 (2018) 105-110 An Adaptive Filtering based Approach for Cardiopulmonary Resuscitation Quality Assessment Van-Truong Pham, Thi-Thao Tran*, Cong-Dong Trinh Hanoi University of Science and Technology, No. 1, Dai Co Viet, Hai Ba Trung, Hanoi, Viet Nam Received: June 28, 2018; Accepted: November 26, 2018 Abstract Cardiac arrest is the leading cause of deaths for thousands of people every year. Immediate treatment of cardiac arrest can help reducing cardiovascular mortality rates. One of the most common approaches for treatment of cardiac arrest is cardiopulmonary resuscitation (CPR) that provides chest compressions. Quality of chest compression is considered as one of key indicators for CPR performance assessment. In this study, we present an approach for CPR quality evaluation using ECG and thoracic impedance signals via a least mean square based adaptive filter. Then, CPR quality evaluation is performed based on analyzing the spectra and frequencies of input ECG and estimated CPR signals. The proposed approach is applied for a dataset including 526 segments from patients presenting with asystole. The results are then compared with those derived from the compression depth used as reference CPR signals. Experimental results show performance of the proposed approach for assessment of CPR quality. Keywords: Cardiopulmonary resuscitation, Spectrum analysis, Thoracic impedance, Cardiac arrest, Adaptive Filter 1. Introduction* chest compression performance, Ruiz et al. [6], and Ayala et al. [7] analyzing the rhythm during ventilation pauses. The importance of providing high quality chest compressions during cardiopulmonary resuscitation (CPR) has been emphasized in resuscitation guidelines [1]. It has been proved that good quality of CPR can help increase the survival rates. For improvement of CPR quality, it is important to know the chest compressions in the heart rhythm. The compressions should be at least 5 cm depth at 100 to 120 .