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
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