Automated Screening of Myocardial Infarction Based on Statistical Analysis of Photoplethysmographic Data

• Published in: IEEE transactions on instrumentation and measurement Vol. 69; no. 6; pp. 2881 - 2890
• Main Authors: Sadhukhan, Deboleena, Dhar, Sandipan, Pal, Saurabh, Mitra, Madhuchhanda
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Automation; Blood; Classification; Computer-aided analysis; Data acquisition; Data integration; Electrocardiography; Feature extraction; Health care; Heart; Heart attacks; medical expert systems; Monitoring; Myocardial infarction; myocardial infarction (MI); Noise sensitivity; Parameter sensitivity; pattern analysis; photoplethysmography; Portable equipment; Process parameters; Signal monitoring; Signal processing; Statistical analysis; Telemedicine

Integration of automated cardiac analysis techniques with the personal healthcare devices can aid in the timely diagnosis of myocardial infarction (MI) to reduce the risk of mortality. The use of electrocardiogram (ECG) along with advanced signal processing tools limits the application of the availa...