A systematic review of automated pre-processing, feature extraction and classification of cardiotocography.

Autor: Al-Yousif S; Department of Medical Instrumentations Engineering Techniques, Dijlah University, Baghdad, Iraq.; Faculty of Information Science & Engineering, Management and Science University, Shah Alam, Selangoor, Malaysia., Jaenul A; Department of Electrical Engineering, Faculty of Engineering and Computer Science, Jakarta Global University, Jakarta, Indonesia., Al-Dayyeni W; Department of Medical Instrumentations Engineering Techniques, Dijlah University, Baghdad, Iraq., Alamoodi A; Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia., Jabori I; Faculty of Engineering, Tikrit University, Tikrit, Iraq., Md Tahir N; Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Alrawi AAA; Training Directorate, Ministry of Science and Technology, Baghdad, Aljadireyah, Iraq., Cömert Z; Department of Software Engineering, Samsun University, Samsun, Turkey., Al-Shareefi NA; College of Biomedical Informatics, University of Information Technology and Communications (UOITC), Baghdad, Almansoor, Iraq., Saleh AH; Department Computer Engineering, Karabük University,, Karabük, Karabük, Turkey.

Publikováno v: PeerJ. Computer science [PeerJ Comput Sci] 2021 Apr 27; Vol. 7, pp. e452. Date of Electronic Publication: 2021 Apr 27 (Print Publication: 2021).