Development of machine learning techniques for wearable vital signs monitoring device

• Main Author: Amy Amelyn Ahmad
• Other Authors: Liu Aiqun
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
• Online Access: http://hdl.handle.net/10356/77670
• Institution: Nanyang Technological University

High blood pressure or hypertension accounts for 45% of deaths due to heart disease and 51% of deaths due to stroke. Singapore National Health Survey estimates 27.3% of Singaporeans between the ages of 30 and 69 years, suffer from hypertension. A single wearable vital signs monitoring device is the...