Similar patient search using the results of heartbeat classification

Author

Juyoung Park ; Kyungtae Kang

Author_Institution

Dept. of Comput. Sci. & Eng., Hanyang Univ., Seoul, South Korea

fYear

2014

fDate

2-5 Nov. 2014

Firstpage

70

Lastpage

71

Abstract

Long-term ECG data for a patient can be acquired by integrating a Holter monitor with a mobile device. We use similar patient search to create an abstraction of a patient´s typical heartbeat pattern, in the form of a regular expression, by learning heartbeat patterns. We have simulated these processes on data from the MIT-BIH arrhythmia database, and shown how we can search the database for patients with similar heartbeat patterns.

Keywords

data acquisition; data integration; diseases; electrocardiography; medical signal processing; signal classification; Holter monitor; MIT-BIH arrhythmia database; heartbeat classification; heartbeat pattern learning; long-term ECG data acquisition; long-term ECG data integration; mobile device; patient database; patient heartbeat pattern abstraction; similar patient search; Biomedical monitoring; Databases; Electrocardiography; Heart beat; Mobile handsets; Monitoring; Patient search; abstraction; electrocardiogram; heartbeat classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on

Conference_Location

Belfast

Type

conf

DOI

10.1109/BIBM.2014.6999270

Filename

6999270