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Identification of patients prone to hypotension during hemodialysis based on the analysis of cardiovascular signals.

Hernando, D; Sörnmo, Leif LU ; Sandberg, Frida LU ; Laguna, P; Llamedo, M and Bailón, R (2015) In Medical Engineering & Physics 37(12). p.1156-1161
Abstract
Intradialytic hypotension (IDH) is a major complication during hemodialysis treatment, and therefore it is highly desirable to identify, at an early stage during treatment, whether the patient is prone to IDH. Heart rate variability (HRV), blood pressure variability (BPV) and baroreflex sensitivity (BRS) were analyzed during the first 30 min of treatment to assess information on the autonomic nervous system. Using the sequential floating forward selection method and linear classification, the set of features with the best discriminative power was selected, resulting in an accuracy of 92.1%. Using a classifier based on the HRV features only, thereby avoiding that continuous blood pressure has to be recorded, accuracy decreased to 90.2%. The... (More)
Intradialytic hypotension (IDH) is a major complication during hemodialysis treatment, and therefore it is highly desirable to identify, at an early stage during treatment, whether the patient is prone to IDH. Heart rate variability (HRV), blood pressure variability (BPV) and baroreflex sensitivity (BRS) were analyzed during the first 30 min of treatment to assess information on the autonomic nervous system. Using the sequential floating forward selection method and linear classification, the set of features with the best discriminative power was selected, resulting in an accuracy of 92.1%. Using a classifier based on the HRV features only, thereby avoiding that continuous blood pressure has to be recorded, accuracy decreased to 90.2%. The results suggest that an HRV-based classifier is useful for determining whether a patient is prone to IDH at the beginning of the treatment. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Medical Engineering & Physics
volume
37
issue
12
pages
1156 - 1161
publisher
Elsevier
external identifiers
  • pmid:26525780
  • wos:000366772100006
  • scopus:84949559960
ISSN
1873-4030
DOI
10.1016/j.medengphy.2015.10.003
language
English
LU publication?
yes
id
fd94d06a-0a4e-4158-abdf-f39d0a7073f3 (old id 8243579)
date added to LUP
2015-12-08 11:08:53
date last changed
2017-01-01 03:36:31
@article{fd94d06a-0a4e-4158-abdf-f39d0a7073f3,
  abstract     = {Intradialytic hypotension (IDH) is a major complication during hemodialysis treatment, and therefore it is highly desirable to identify, at an early stage during treatment, whether the patient is prone to IDH. Heart rate variability (HRV), blood pressure variability (BPV) and baroreflex sensitivity (BRS) were analyzed during the first 30 min of treatment to assess information on the autonomic nervous system. Using the sequential floating forward selection method and linear classification, the set of features with the best discriminative power was selected, resulting in an accuracy of 92.1%. Using a classifier based on the HRV features only, thereby avoiding that continuous blood pressure has to be recorded, accuracy decreased to 90.2%. The results suggest that an HRV-based classifier is useful for determining whether a patient is prone to IDH at the beginning of the treatment.},
  author       = {Hernando, D and Sörnmo, Leif and Sandberg, Frida and Laguna, P and Llamedo, M and Bailón, R},
  issn         = {1873-4030},
  language     = {eng},
  number       = {12},
  pages        = {1156--1161},
  publisher    = {Elsevier},
  series       = {Medical Engineering & Physics},
  title        = {Identification of patients prone to hypotension during hemodialysis based on the analysis of cardiovascular signals.},
  url          = {http://dx.doi.org/10.1016/j.medengphy.2015.10.003},
  volume       = {37},
  year         = {2015},
}