DocumentCode :
140005
Title :
A novel multi-parametric algorithm for faint prediction integrating indices of cardiac inotropy and vascular tone
Author :
Couceiro, R. ; Carvalho, Paulo ; Paiva, R.P. ; Muehlsteff, J. ; Henriques, J. ; Eickholt, C. ; Brinkmeyer, C. ; Kelm, M. ; Meyer, C.
Author_Institution :
Dept. of Inf. Eng., Univ. of Coimbra, Coimbra, Portugal
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
2952
Lastpage :
2956
Abstract :
Neurally medicated syncope (NMS) patients suffer from sudden loss of consciousness, which is associated with a high rate of falls and hospitalization. NMS negatively impacts a subject´s quality of life and is a growing cost issue for the healthcare systems in particular since mainly elderly are at risk of NMS in our aging societies. In the present paper we present an algorithm for prediction of NMS, which is based on the analysis of the electrocardiogram (ECG) and photoplethysmogram (PPG) signals. Several parameters extracted from ECG and PPG, which have been associated in previous works with reflectory mechanisms underlying NMS, were combined in a single algorithm to detect impending syncope. The proposed algorithm was validated in 43 subjects using a 3-way data split scheme and achieved the following performance: sensitivity (SE) - 100%; specificity (SP) - 92%; positive predictive value (PPV) - 85%; false positive rate per hour (FPRh) - 0.146h-1 and; average prediction time (aPTime) - 217.58s.
Keywords :
bioelectric potentials; electrocardiography; geriatrics; health care; medical signal detection; medical signal processing; neurophysiology; photoplethysmography; aging societies; cardiac inotropy; elderly people; electrocardiogram signal analysis; faint prediction integrating indices; healthcare systems; multiparametric algorithm; neurally medicated syncope patients; photoplethysmogram signal analysis; reflectory mechanisms; three-way data split scheme; vascular tone; Algorithm design and analysis; Biomedical monitoring; Blood pressure; Electrocardiography; Feature extraction; Heart rate; Prediction algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944242
Filename :
6944242
Link To Document :
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