A system for the model based emergency detection and communication for the telerehabilitation training of cardiopulmonary patients

Author

Helmer, A. ; Kretschmer, F. ; Deparade, R. ; Bianying Song ; Meis, Matthew ; Hein, Alexander ; Marschollek, M. ; Tegtbur, U.

Author_Institution

OFFIS-Inst. for Inf. Technol., Oldenburg, Germany

fYear

2012

fDate

Aug. 28 2012-Sept. 1 2012

Firstpage

702

Lastpage

706

Abstract

Cardiopulmonary diseases affect millions of people and cause high costs in health care systems worldwide. Patients should perform regular endurance exercises to stabilize their health state and prevent further impairment. However, patients are often uncertain about the level of intensity they should exercise in their current condition.

Keywords

cardiovascular system; diseases; health care; lung; medical information systems; patient care; patient rehabilitation; telemedicine; PHR; abnormal event detection; alert communication; cardiopulmonary diseases; cardiopulmonary patients; classic home emergency systems; health care systems; health state; heart beats; heart rate; model based emergency detection; personal health record; predictive HR model; statistical methods; telerehabilitation training; Communication systems; Diseases; Heart rate; Predictive models; Schedules; Training; Emergencies; Exercise Therapy; Health Records, Personal; Health Status; Heart Diseases; Heart Rate; Humans; Linear Models; Models, Cardiovascular; Pulmonary Disease, Chronic Obstructive; Telemedicine; Telemetry;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE

Conference_Location

San Diego, CA

ISSN

1557-170X

Print_ISBN

978-1-4244-4119-8

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/EMBC.2012.6346028

Filename

6346028