DocumentCode :
674678
Title :
Prediction of intradialytic hypotension using PPG and ECG
Author :
Sandberg, Frida ; Bailon, Raquel ; Hernando, David ; Laguna, P. ; Martinez, Juan Pablo ; Solem, Kristian ; Sornmo, Leif
Author_Institution :
Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
fYear :
2013
fDate :
22-25 Sept. 2013
Firstpage :
1227
Lastpage :
1230
Abstract :
Intradialytic hypotension (IDH) is the most common complication during hemodialysis; early prediction and prevention of IDH would dramatically improve the living conditions for patients with end stage renal disease. A recently published study suggests that a decrease in the envelope of the photoplethysmograpy (PPG) signal can be used for predicting acute symptomatic IDH. In the present study, the PPG based method is extended by introducing a patient dependent detection threshold, which involves information on heart rate variability (HRV) and heart rate turbulence (HRT) from the current dialysis session. This is motivated since several studies have found significant differences in HRV and HRT between hypotension-prone and hypotension-resistant patients. Recordings from 15 patients during 38 hemodialysis sessions were used to evaluate the method. Symptomatic IDH was correctly predicted in 9 out of 14 cases, while 5 out of 24 cases were falsely predicted. The performance was better for acute symptomatic IDH, 5 out of 5 cases were correctly predicted. The present method represents a novel approach to combining information derived from ECG and PPG signals.
Keywords :
diseases; electrocardiography; haemodynamics; kidney; medical disorders; medical signal detection; patient treatment; photoplethysmography; ECG; HRT; HRV; IDH early prediction; IDH early prevention; PPG based method; acute symptomatic IDH; common complication; current dialysis session; end stage renal disease; heart rate turbulence; heart rate variability; hemodialysis session; hypotension-prone patient; hypotension-resistant patient; intradialytic hypotension; living conditions; patient dependent detection threshold; photoplethysmograpy signal; Blood pressure; Electrocardiography; Heart rate variability; Maximum likelihood estimation; Probability density function; Sensitivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
ISSN :
2325-8861
Print_ISBN :
978-1-4799-0884-4
Type :
conf
Filename :
6713605
Link To Document :
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