Design and analysis of an early heart attack detection using openCV

• Main Authors: Muhammad Rafsanjani, Basri, Fahmi, Samsuri
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/37128/1/Design%20and%20analysis%20of%20an%20early%20heart%20attack%20detection%20using%20opencv.pdf; http://umpir.ump.edu.my/id/eprint/37128/; https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files
• Institution: Universiti Malaysia Pahang

Millions of people die every year from heart attacks, according to research. The healthcare industry generates massive volumes of data related to heart attacks, but this data is sadly not being processed for hidden insights that could improve decision-making. Early detection of heart attack symptoms...