DocumentCode :
3217641
Title :
Telehealth streams reduction based on pattern recognition techniques for events detection and efficient storage in EHR
Author :
Henriques, J. ; Rocha, T. ; Paredes, S. ; de Carvalho, P.
Author_Institution :
Dept. de Eng. Inf., Univ. de Coimbra, Coimbra, Portugal
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
7488
Lastpage :
7491
Abstract :
This work proposes a framework for telehealth streams analysis, founded on a pattern recognition technique that evaluates the similarity between multi-sensorial biosignals. The strategy combines the Haar wavelet with the Karhunen-Loève transforms to describe biosignals by means of a reduced set of parameters. These, that reflect the dynamic behavior of the biosignals, can support the detection of relevant clinical conditions. Moreover, the simplicity and fast execution of the proposed approach allow its application in real-time operation, as well as provide a practical way to manage historical electronic health records: i) common and uncommon behaviors can be distinguished; ii) the creation of different models, tailored to specific conditions can be efficiently stored. The efficiency of the methodology is assessed through its performance analysis, namely by computing the required number of operations and the compression rate. Its effectiveness is evaluated in the prediction of decompensation episodes using biosignals daily collected in the myHeart study (blood pressure, weight, respiration and heart rates).
Keywords :
Karhunen-Loeve transforms; bioelectric potentials; blood; cardiology; medical information systems; medical signal detection; medical signal processing; pattern recognition; pneumodynamics; telemedicine; wavelet transforms; EHR management; Haar wavelet; Karhunen-Loeve transform; biosignal dynamic behavior; blood pressure; decompensation episode prediction; electronic health record; event detection; heart rate; multisensorial biosignal; parameter set reduction; pattern recognition technique; respiration rate; telehealth stream analysis; telehealth stream reduction; weight; Biomedical monitoring; Blood pressure; Heart rate; Indexing; Time series analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6611290
Filename :
6611290
Link To Document :
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