NDLI: On the road to predictive smart alarms based on a networked operating room

Content Provider	IEEE Xplore Digital Library
Author	Koeny, M. Czaplik, M.
Copyright Year	2012
Description	Author affiliation: Medical Information Technology, RWTH Aachen University, Germany (Koeny, M.; Czaplik, M.)
Abstract	In this work new algorithms are presented and discussed which extend the conventional minimum / maximum alarms in patient monitors. Two of the most important parameters indicating the patient's condition during a surgical intervention are blood pressure and heart rate. Hence, these parameters are engaged in the assessment of anesthesia control. The computed course is used to generate foreseen minimum / maximum alarms. In future the algorithms should be used to estimate the future depth of the narcosis. For the prediction, the acquired vital signs are resampled and averaged in a pre-processing step first. Afterwards, a linear and polynomial extrapolation is performed for comparison reasons. Finally, the algorithms are discussed and compared using acquired data during standard surgeries. The developed algorithms predict the future course of heart rate and blood pressure up to five minutes and therefore can be a complement to the traditional history function of patient monitors.
Starting Page	1
Ending Page	4
File Size	445283
Page Count	4
File Format	PDF
ISBN	9781467320498
ISSN	10637125
e-ISBN	9781467320511
DOI	10.1109/CBMS.2012.6266381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-20
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical monitoring Blood pressure Extrapolation Prediction algorithms Heart rate Surgery Monitoring heart rate anaesthesia prediction blood pressure
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Interfacing anesthesiology operating room data with statistics software packages

The algorithm for detecting critical conditions during anesthesia

Fuzzy presentation of medical data

Reduction of false arterial blood pressure alarms using signal quality assessement and relationships between the electrocardiogram and arterial blood pressure

Suppress False Arrhythmia Alarms of ICU Monitors Using Heart Rate Estimation Based on Combined Arterial Blood Pressure and Ecg Analysis

Alarms on the Intensive Cardiac Care Unit

Non-invasive monitoring of the human blood pressure

Transient phase locking patterns among respiration, heart rate and blood pressure during cardiorespiratory synchronisation in humans

Stream computing and its application to critical care

On the road to predictive smart alarms based on a networked operating room

Similar Documents

Interfacing anesthesiology operating room data with statistics software packages

The algorithm for detecting critical conditions during anesthesia

Fuzzy presentation of medical data

Reduction of false arterial blood pressure alarms using signal quality assessement and relationships between the electrocardiogram and arterial blood pressure

Suppress False Arrhythmia Alarms of ICU Monitors Using Heart Rate Estimation Based on Combined Arterial Blood Pressure and Ecg Analysis

Alarms on the Intensive Cardiac Care Unit

Non-invasive monitoring of the human blood pressure

Transient phase locking patterns among respiration, heart rate and blood pressure during cardiorespiratory synchronisation in humans

Stream computing and its application to critical care

On the road to predictive smart alarms based on a networked operating room