NDLI: Different approaches of symbolic dynamics to quantify heart rate complexity

Content Provider	IEEE Xplore Digital Library
Author	Cysarz, D. Porta, A. Montano, N. Van Leeuwen, P. Kurths, J. Wessel, N.
Copyright Year	2013
Description	Author affiliation: Dept. of Biomed. Sci. for Health, Univ. of Milan, Milan, Italy (Porta, A.) \|\| Fac. for Health, Univ. of Witten/Herdecke, Witten, Germany (Cysarz, D.) \|\| Dept. of Phys., Humboldt-Univ. zu Berlin, Berlin, Germany (Kurths, J.; Wessel, N.) \|\| Dept. of Biomed. & Clinical Sci., Univ. of Milan, Milan, Italy (Montano, N.) \|\| Dept. of Radiol. & Microtherapy, Univ. of Witten/Herdecke, Witten, Germany (Van Leeuwen, P.)
Abstract	The analysis of symbolic dynamics applied to physiological time series is able to retrieve information about dynamical properties of the underlying system that cannot be gained with standard methods like e.g. spectral analysis. Different approaches for the transformation of the original time series to the symbolic time series have been proposed. Yet the differences between the approaches are unknown. In this study three different transformation methods are investigated: (1) symbolization according to the deviation from the average time series, (2) symbolization according to several equidistant levels between the minimum and maximum of the time series, (3) binary symbolization of the first derivative of the time series. Each method was applied to the cardiac interbeat interval series RRi and its difference $ΔRR_{I}$ of 17 healthy subjects obtained during head-up tilt testing. The symbolic dynamics of each method is analyzed by means of the occurrence of short sequences (`words') of length 3. The occurrence of words is grouped according to words without variations of the symbols (0V%), words with one variation (1V%), two like variations (2LV%) and two unlike variations (2UV%). Linear regression analysis showed that for method 1 0V%, 1V%, 2LV% and 2UV% changed with increasing tilt angle. For method 2 0V%, 2LV% and 2UV% changed with increasing tilt angle and method 3 showed changes for 0V% and 1V%. In conclusion, all methods are capable of reflecting changes of the cardiac autonomic nervous system during head-up tilt. All methods show that even the analysis of very short symbolic sequences is capable of tracking changes of the cardiac autonomic regulation during head-up tilt testing.
Starting Page	5041
Ending Page	5044
File Size	717783
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610681
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rail to rail inputs Modulation Time series analysis Linear regression Heart rate Indexes Physiology
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

Multiscale analysis of acceleration and deceleration of the instantaneous heart rate using symbolic dynamics

Relationship between heart rate variability using Lorenz plot and sleep level

Time-varying analysis of autonomic control in response to spontaneous sighs in sickle cell anemia

Assessing complexity of heart rate variability in people with spinal cord injury using local scale exponents

Asymmetric intermittency observed in human heart rate dynamics

Sleep apnea detection using time-delayed heart rate variability

Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study

Time-dependent sleep stage transition model based on heart rate variability

A percentile-based coarse graining approach is helpful in symbolizing heart rate variability during graded head-up tilt

Different approaches of symbolic dynamics to quantify heart rate complexity

Similar Documents

Multiscale analysis of acceleration and deceleration of the instantaneous heart rate using symbolic dynamics

Relationship between heart rate variability using Lorenz plot and sleep level

Time-varying analysis of autonomic control in response to spontaneous sighs in sickle cell anemia

Assessing complexity of heart rate variability in people with spinal cord injury using local scale exponents

Asymmetric intermittency observed in human heart rate dynamics

Sleep apnea detection using time-delayed heart rate variability

Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study

Time-dependent sleep stage transition model based on heart rate variability

A percentile-based coarse graining approach is helpful in symbolizing heart rate variability during graded head-up tilt

Different approaches of symbolic dynamics to quantify heart rate complexity