Enhancing ECG disease detection accuracy through deep learning models and P-QRS-T waveform features

• Rida Nayyab,

  Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

  https://orcid.org/0009-0008-5697-4628

  ⨯
• Asim Waris,

  Roles Project administration, Supervision

  Affiliation Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

  ⨯
• Iqra Zaheer,

  Roles Software, Visualization

  Affiliation Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

  ⨯
• Muhammad Jawad Khan,

  Roles Supervision

  Affiliation Department of Electrical Engineering, School of Engineering, Prince Sattam Bin Abdul Aziz University, Saudi Arabia

  ⨯
• Fawwaz Hazzazi,

  Roles Supervision

  Affiliation Department of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdul Aziz University, Al-Kharj, Saudi Arabia

  ⨯
• Muhammad Adeel Ijaz,

  Roles Supervision

  Affiliation Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

  https://orcid.org/0009-0008-8138-0477

  ⨯
• Hassan Ashraf,

  Roles Writing – review & editing

  Affiliation Laboratory of Movement Analysis (LAM-Motion Lab), University of Liege, Liege, Belgium

  https://orcid.org/0000-0003-0519-0619

  ⨯
• Syed Omer Gilani

  Roles Supervision

  * E-mail: syed.gilani@adu.ac.ae

  Affiliation Department of Electrical, Computer, and Biomedical Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates

  https://orcid.org/0000-0001-5654-7863

  ⨯