Title :
Personal-Statistics-Based Heart Rate Evaluation in Anytime Risk Calculation Model
Author :
Toth-Laufer, Edit ; Varkonyi-Koczy, Annamaria R.
Author_Institution :
Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
Abstract :
Nowadays, the changes in people´s habits and the development of technology result in the wide spreading of the model-based health monitoring systems. In this paper, an improvement of the measurement evaluation method is introduced, which is used during the sport activity in real-time. The basis of the novel approach is our previously reported anytime hierarchical fuzzy risk calculation model, which is able to handle some uncertainties, imprecision, and subjectivity in the data and in the evaluation process and can cope with the dynamically changing environment, available time, and resources. In the new model the input membership functions, which are tuned according to the patient characteristics, are modified based on the data recorded during previous measurements under the same conditions. By this, the person-dependent characteristics and the unavoidable changing of the dynamic reactions of the human organism can also be considered and the risk level can be more reliably predicted.
Keywords :
biomedical measurement; cardiology; data recording; fuzzy set theory; patient monitoring; risk analysis; statistics; anytime risk calculation model; data recording; fuzzy risk calculation model; health monitoring system; heart rate evaluation; human organism; input membership function; measurement evaluation method; patient characteristics; person-dependent characteristics; personal-statistics; Biomedical monitoring; Heart rate; Histograms; Monitoring; Real-time systems; Reliability; Temperature measurement; Anytime operation; fuzzy modeling; health monitoring; personal statistics; risk calculation; risk calculation.;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2014.2376111