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  4. ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm
 
conference paper not in proceedings

ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm

Pale, Una  
•
Müller, Nathan
•
Arza Valdes, Adriana  
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2021
43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC

This work presents ReBeatICG, a real-time, low-complexity beat-to-beat impedance cardiography (ICG) delineation algorithm that allows hemodynamic parameters monitoring. The proposed procedure relies only on the ICG signal compared to most algorithms found in the literature that rely on synchronous electrocardiogram signal (ECG) recordings. ReBeatICG was designed with implementation on an ultra-low-power microcontroller (MCU) in mind. The detection accuracy of the developed algorithm is tested against points manually labeled by cardiologists. It achieves a detection Gmean accuracy of 94.9%, 98.6%, 90.3%, and 84.3% for the B, C, X, and O points, respectively. Furthermore, several hemodynamic parameters were calculated based on annotated characteristic points and compared with values generated from the cardiologists' annotations. ReBeatICG achieved mean error rates of 0.11ms, 9.72ms, 8.32ms, and 3.97% for HR, LVET, IVRT, and relative C-point amplitude, respectively.

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Type
conference paper not in proceedings
DOI
10.1109/EMBC46164.2021.9630170
ArXiv ID

2105.01525v1

Author(s)
Pale, Una  
Müller, Nathan
Arza Valdes, Adriana  
Atienza Alonso, David  
Date Issued

2021

Total of pages

7

Subjects

Impedance cardiography ICG

•

Electrocardiogram ECG

•

Cardiovascular signal processing

•

Annotation

•

Delineation

•

Characteristic points

•

Wearable devices

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ESL  
Event nameEvent placeEvent date
43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC

Virtual

October 31 – November 4, 2021

RelationURL/DOI

IsSupplementedBy

https://zenodo.org/record/4725433
Available on Infoscience
August 5, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/180433
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