NDLI: Detection of artifacts in oscillometric pulsations signals

Content Provider	IEEE Xplore Digital Library
Author	Havlik, J. Martinovská, Z. Dvor̆ák, J. Lhotská, L.
Copyright Year	2014
Description	Author affiliation: Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic (Havlik, J.; Martinovská, Z.; Dvor̆ák, J.; Lhotská, L.)
Abstract	A measurement of blood pressure is a basic diagnostic technique for examining of the cardiovascular system. There are a lot of methods for determination of the blood pressure, but an oscillometric measurement (investigation of oscillometric pulsations) is one of the most frequent methods used in modern electronic tonometers. The results given by oscillometric measurements are very dependent on the cleanness of the signal. The method is very sensitive for example for motion artifacts, which produce significant damage of the signal. For the proper processing of the signal it is very important to detect all artifacts precisely before signal processing. The paper deals with the methods for artifacts detection in oscillometric pulsations signals. The methods based on predicted heart rate detection, heart rate variability (standard deviation method) and comparison of oscillometric pulsations with ECG signal are described in the paper. The section Results includes a comparison of the methods and a discussion of their advantages and disadvantages. The authors conclude that the algorithm based on detection of heart rate variability (standard deviation method) seems as the most suitable algorithm for automated detection of artifacts in the signal of oscillometric pulsations.
Sponsorship	IEEE Comput. Soc.
Starting Page	709
Ending Page	711
File Size	334704
Page Count	3
File Format	PDF
ISBN	9781479921317
DOI	10.1109/BHI.2014.6864462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blood pressure Electrocardiography Standards Pressure measurement Databases Heart rate variability
Content Type	Text
Resource Type	Article

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

Detection of heart rate turbulence in photoplethysmographic signals

Impact of motion artifacts on Heart Rate Variability measurements and classification performance

Study on the peak interval variability of photoplethysmogtaphic signals

Detection of ectopic heart beats using ECG and blood pressure signals

Towards increased usability of noisy ECG signals in HRV-based classifiers

Non-linear coupling among cardiovascular variability signals in neuromediate syncope

Multi-parameter detection of ectopic heart beats

Pulse arrival time and ballistocardiogram application to blood pressure variability estimation

Automatic sleep apnoea detection using measures of amplitude and heart rate variability from the electrocardiogram

Detection of artifacts in oscillometric pulsations signals

Similar Documents

Detection of heart rate turbulence in photoplethysmographic signals

Impact of motion artifacts on Heart Rate Variability measurements and classification performance

Study on the peak interval variability of photoplethysmogtaphic signals

Detection of ectopic heart beats using ECG and blood pressure signals

Towards increased usability of noisy ECG signals in HRV-based classifiers

Non-linear coupling among cardiovascular variability signals in neuromediate syncope

Multi-parameter detection of ectopic heart beats

Pulse arrival time and ballistocardiogram application to blood pressure variability estimation

Automatic sleep apnoea detection using measures of amplitude and heart rate variability from the electrocardiogram

Detection of artifacts in oscillometric pulsations signals