In this paper we analyze low-cost commercial chest belt for integration into a lifestyle counselling system as a source of heart rate data. We compared data from a Schiller ECG Holter device which served as gold stan- dard device with a CardioSport device. Because of mis- sing data in the CardioSport device caused by losing contact with body, creation of special algorithms was necessary for synchronization and filtering. The results show that using our synchronization algorithm the ave- rage mean absolute percentage error between the two signals was 2,32% with correlation of more than 99%. With the filtering algorithm, we were able to get more than 70% of the signal on average with an absolute per- centage error of 2,62% and a high average correlation of 98,76%. The mean RR interval values and standard de- viation of RR intervals are very close to the gold stan- dard device using both the synchronization and filtering algorithm. With filtering, the gold standard measure- ments produced only slightly better results related to false detections of atrial fibrillation than the CardioSport device. In conclusion we can state that with a simple pre-processing algorithms, CardioSport as a low cost device, can be safely integrated into a lifestyle support system in a telemedical solution.
|Szerző: Dr. Kósa István||Intézmény: Veszprém Megyei Csolnoky Ferenc Kórház Nonprofit ZRt. Pannon Egyetem Egészségügyi Kutató- Fejlesztô Központ|
|Szerző: Szalai Márió||Intézmény: Medical Informatics R&D Center University of Pannonia Hungary|
|Szerző: Tuboly Gergely||Intézmény: Pannon Egyetem Egészségügyi Informatikai Kutató-Fejlesztő Központ|
|Szerző: Dr. Vassányi István||Intézmény: IME Szerkesztőség|
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