title: ECG Parameter Extractor of Intelligent Home Healthcare Embedded System.
abstract: Automatic ECG QRS complex detection has been widely studied and used over the past decade. Although QRS complex is the most prominent feature in ECG and can provide useful information about the heart status, other parts of the ECG (P-wave, T-wave, etc) are also significant in determining the health status. Recently, researches for P-wave and T-wave detection algorithms started to appear but a parameter extractor in obtaining most essential ECG parameters (PQRST) is still not very popular. Considering that all these can be integrated together, we propose an Intelligent Home Health Care Embedded System (IHHCS) with essential ECG parameters extraction that can provide diagnosis about health status of patients directly at home. Inconvenient visits and precious time spent in health checking at hospitals or clinics can be saved.
authors.affiliation: master student of the Department of Electrical and Electronics Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, PR. China (e-mail: ma26247@umac.mo).
authors.forename: Weng
authors.initials: W
authors.lastname: Chi Chan
authors.forename: Shuo
authors.initials: S
authors.lastname: Tang
authors.forename: Sio
authors.initials: S
authors.lastname: Hang Pun
authors.forename: Mang
authors.initials: M
authors.lastname: Vai
authors.forename: Peng
authors.initials: P
authors.lastname: Un Mak