Applying the APG to measure Heart Rate Variability

Mohamed Elgendi; Mirjam Jonkman; Friso De Boer

Applying the APG to measure Heart Rate Variability

Mohamed Elgendi, Mirjam Jonkman, Friso De Boer

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

The Acceleration Plethysmogram (APG) is used to calculate the heart rate (HR) and HRV. The APG is an optical technique that has been developed for experimental use in vascular diseases. It is considered a promising tool that may replace some of the current traditional cardiovascular diagnostic tools. The performance of the proposed algorithm when tested on 26 records measured at rest showed very promising results. Our results demonstrate that the HRV indices, SDNN and rMSSD can be calculated using APG signals collected at rest. �2010 IEEE.

Original language	English
Title of host publication	2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Place of Publication	Singapore
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	-
Number of pages	4
Publication status	Published - 2010
Event	ICCAE 2010. 2nd International Conference on Computer and Automation Engineering - Singapore Duration: 26 Feb 2010 → 28 Feb 2010

Conference

Conference	ICCAE 2010. 2nd International Conference on Computer and Automation Engineering
Period	26/02/10 → 28/02/10

Cite this

@inproceedings{992140bbb66442af836cd08f4115b207,

title = "Applying the APG to measure Heart Rate Variability",

abstract = "The Acceleration Plethysmogram (APG) is used to calculate the heart rate (HR) and HRV. The APG is an optical technique that has been developed for experimental use in vascular diseases. It is considered a promising tool that may replace some of the current traditional cardiovascular diagnostic tools. The performance of the proposed algorithm when tested on 26 records measured at rest showed very promising results. Our results demonstrate that the HRV indices, SDNN and rMSSD can be calculated using APG signals collected at rest. �2010 IEEE.",

keywords = "Diagnostic tools, Heart rate variability, Heart rates, Optical technique, Plethysmogram, Vascular disease, Algorithms, Heart",

author = "Mohamed Elgendi and Mirjam Jonkman and {De Boer}, Friso",

year = "2010",

language = "English",

pages = "--",

booktitle = "2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "ICCAE 2010. 2nd International Conference on Computer and Automation Engineering ; Conference date: 26-02-2010 Through 28-02-2010",

}

Applying the APG to measure Heart Rate Variability. / Elgendi, Mohamed; Jonkman, Mirjam ; De Boer, Friso.
2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010. Singapore: IEEE, Institute of Electrical and Electronics Engineers, 2010. p. -.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - Applying the APG to measure Heart Rate Variability

AU - Elgendi, Mohamed

AU - Jonkman, Mirjam

AU - De Boer, Friso

PY - 2010

Y1 - 2010

N2 - The Acceleration Plethysmogram (APG) is used to calculate the heart rate (HR) and HRV. The APG is an optical technique that has been developed for experimental use in vascular diseases. It is considered a promising tool that may replace some of the current traditional cardiovascular diagnostic tools. The performance of the proposed algorithm when tested on 26 records measured at rest showed very promising results. Our results demonstrate that the HRV indices, SDNN and rMSSD can be calculated using APG signals collected at rest. �2010 IEEE.

AB - The Acceleration Plethysmogram (APG) is used to calculate the heart rate (HR) and HRV. The APG is an optical technique that has been developed for experimental use in vascular diseases. It is considered a promising tool that may replace some of the current traditional cardiovascular diagnostic tools. The performance of the proposed algorithm when tested on 26 records measured at rest showed very promising results. Our results demonstrate that the HRV indices, SDNN and rMSSD can be calculated using APG signals collected at rest. �2010 IEEE.

KW - Diagnostic tools

KW - Heart rate variability

KW - Heart rates

KW - Optical technique

KW - Plethysmogram

KW - Vascular disease

KW - Algorithms

KW - Heart

M3 - Conference Paper published in Proceedings

SP - -

BT - 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Singapore

T2 - ICCAE 2010. 2nd International Conference on Computer and Automation Engineering

Y2 - 26 February 2010 through 28 February 2010

ER -

Applying the APG to measure Heart Rate Variability

Abstract

Conference

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