Applied machine learning for blood pressure estimation using a small, real-world electrocardiogram and photoplethysmogram dataset

• Main Authors: Wong, Mark Kei Fong, Hei, Hao, Lim, Si Zhou, Ng, Eddie Yin Kwee
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Mechanical engineering; Non-Occluding Blood Pressure; Noisy Data
• Online Access: https://hdl.handle.net/10356/168547
• Institution: Nanyang Technological University

Applying machine learning techniques to electrocardiography and photoplethysmography signals and their multivariate-derived waveforms is an ongoing effort to estimate non-occlusive blood pressure. Unfortunately, real ambulatory electrocardiography and photoplethysmography waveforms are inevitably af...