Accuracy estimation of detection of extrasystoles in heart rate sequences

Author

Telksnys, Laimutis ; Kaukenas, Jonas

Author_Institution

Recognition Processes Dept., Vilnius Univ. Inst. of Math. & Inf., Vilnius, Lithuania

fYear

2012

fDate

10-13 Oct. 2012

Firstpage

143

Lastpage

148

Abstract

The accuracy estimation of detection of extrasystoles in heart rate sequences is investigated. Decision making is based on detection of short-term specific random elements in non-stationary random sequences recognition theory application and mathematical modelling. The decision opens a possibility to develop wearable, green - energy saving equipment for long-term heart rate variability monitoring of ubiquitous, unobtrusive people: active young people, living alone and ageing seniors. The experimental results are presented.

Keywords

cardiology; decision making; geriatrics; haemodynamics; medical disorders; medical signal processing; patient monitoring; random processes; telemedicine; ubiquitous computing; accuracy estimation; active young people; ageing seniors; decision making; extrasystole detection; green energy saving equipment; heart rate sequences; heart rate variability monitoring; mathematical modelling; nonstationary random sequences recognition theory; short-term specific random elements; ubiquitous computing; wearable equipment; Accuracy; Biomedical monitoring; Estimation; Heart rate; Mathematical model; Monitoring; Random sequences; accuracy; detection; estimation; extrasystoles; heart rate variability; m-Health; random sequences; recognition; short-term random events;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-2039-0

Electronic_ISBN

978-1-4577-2038-3

Type

conf

DOI

10.1109/HealthCom.2012.6379377

Filename

6379377