Estimation of Respiratory Information from the Built-In Pressure Sensors of a Dialysis Machine
(2014) Computing in Cardiology 2014 41. p.853-856- Abstract
- The purpose of the present study is to determine the feasibility of estimating respiratory information from the built-in pressure sensors of a dialysis machine. The study database consists of simultaneous recordings of pressure signals and capnographic signals from 6 patients during 7 hemodialysis treatment sessions. Respiration rates were estimated using respiratory induced variations in the beat- to-beat interval series of the cardiac component of the pressure signal and respiratory induced baseline varia- tions in the pressure signal, respectively. The estimated respiration rates were compared to a reference respira- tion rate determined from the capnograhpic signal. The root-mean-square error of the estimated respiration rate from the... (More)
- The purpose of the present study is to determine the feasibility of estimating respiratory information from the built-in pressure sensors of a dialysis machine. The study database consists of simultaneous recordings of pressure signals and capnographic signals from 6 patients during 7 hemodialysis treatment sessions. Respiration rates were estimated using respiratory induced variations in the beat- to-beat interval series of the cardiac component of the pressure signal and respiratory induced baseline varia- tions in the pressure signal, respectively. The estimated respiration rates were compared to a reference respira- tion rate determined from the capnograhpic signal. The root-mean-square error of the estimated respiration rate from the baseline variations of the pressure signal was 2.10 breaths/min; the corresponding error of the estimated res- piration rate from the beat-to-beat interval series of the cardiac component was 4.95 breaths/min. The results sug- gest that it is possible to estimate respiratory information from the pressure sensors. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8054096
- author
- Sandberg, Frida LU ; Holmer, Mattias LU ; Olde, Bo and Solem, Kristian LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- editor
- Murray, Alan
- volume
- 41
- pages
- 4 pages
- publisher
- Computing in Cardiology
- conference name
- Computing in Cardiology 2014
- conference location
- Cambridge, Massachusetts, United States
- conference dates
- 2014-09-07 - 2014-09-10
- external identifiers
-
- scopus:84931383330
- ISSN
- 0276-6574
- language
- English
- LU publication?
- yes
- id
- dacbea45-23e3-4603-831a-4840f6e5e2db (old id 8054096)
- alternative location
- http://www.cinc.org/archives/2014/pdf/0853.pdf
- date added to LUP
- 2016-04-01 14:14:29
- date last changed
- 2021-07-13 02:56:20
@inproceedings{dacbea45-23e3-4603-831a-4840f6e5e2db,
abstract = {The purpose of the present study is to determine the feasibility of estimating respiratory information from the built-in pressure sensors of a dialysis machine. The study database consists of simultaneous recordings of pressure signals and capnographic signals from 6 patients during 7 hemodialysis treatment sessions. Respiration rates were estimated using respiratory induced variations in the beat- to-beat interval series of the cardiac component of the pressure signal and respiratory induced baseline varia- tions in the pressure signal, respectively. The estimated respiration rates were compared to a reference respira- tion rate determined from the capnograhpic signal. The root-mean-square error of the estimated respiration rate from the baseline variations of the pressure signal was 2.10 breaths/min; the corresponding error of the estimated res- piration rate from the beat-to-beat interval series of the cardiac component was 4.95 breaths/min. The results sug- gest that it is possible to estimate respiratory information from the pressure sensors.},
author = {Sandberg, Frida and Holmer, Mattias and Olde, Bo and Solem, Kristian},
booktitle = {[Host publication title missing]},
editor = {Murray, Alan},
issn = {0276-6574},
language = {eng},
pages = {853--856},
publisher = {Computing in Cardiology},
title = {Estimation of Respiratory Information from the Built-In Pressure Sensors of a Dialysis Machine},
url = {http://www.cinc.org/archives/2014/pdf/0853.pdf},
volume = {41},
year = {2014},
}