Title :
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
fDate :
Aug. 28 2012-Sept. 1 2012
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346028