Estimation of invasive coronary perfusion pressure using electrocardiogram and Photoplethysmography in a porcine model of cardiac arrest.

Journal: Computer methods and programs in biomedicine
PMID:

Abstract

BACKGROUND: Coronary perfusion pressure (CPP) indicates spontaneous return of circulation and is recommended for high-quality cardiopulmonary resuscitation (CPR). This study aimed to investigate a method for non-invasive estimation of CPP using electrocardiography (ECG) and photoplethysmography (PPG) during CPR.

Authors

  • Lijun Jiang
    School of Agricultural Engineering and Food Science, Shandong University of Technology, Zhangdian District, No. 12, Zhangzhou Road, Zibo, Shandong Province, China.
  • Shuxin Chen
    The Institute of Intelligent Medical, Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China.
  • Xin Pan
    College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing 210023, People's Republic of China.
  • Jingyu Zhang
    Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, PR China.
  • Xinxin Yin
    Department of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Engineering Research Center for Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Medical and Pharmaceutical Basic Research Innovation Center of Emergency and Critical Care Medicine, Chinese Ministry of Education, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Public Health, Qilu Hospital, Shandong University, Jinan, China.
  • Chang Guo
    The Institute of Intelligent Medical, Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China.
  • Mingze Sun
    The Institute of Intelligent Medical, Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China.
  • Bozhi Ding
    The Institute of Intelligent Medical, Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China.
  • Xiaoxuan Zhai
    Department of Emergency Medicine and Chest Pain Center, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Engineering Research Center for Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China; Medical and Pharmaceutical Basic Research Innovation Center of Emergency and Critical Care Medicine, Chinese Ministry of Education, Qilu Hospital of Shandong University, Jinan, China; Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Public Health, Qilu Hospital, Shandong University, Jinan, China.
  • Ke Li
    School of Ideological and Political Education, Shanghai Maritime University, Shanghai, China.
  • Jiali Wang
    Changzhou Key Laboratory of Respiratory Medical Engineering, Institute of Biomedical Engineering and Health Sciences, Changzhou University, Changzhou, Jiangsu 213164, P.R.China.
  • Yuguo Chen
    Department of Emergency, Qilu Hospital, Shandong University Jinan 250012, China.