Biosignal Quality Control in Real-World Intelligent Environments

Lukas P.A. Arts; Egon L. van den Broek

doi:10.3233/AISE230006

Biosignal Quality Control in Real-World Intelligent Environments

Lukas P.A. Arts^*
, Egon L. van den Broek

^*Corresponding author for this work

Sub Human-Centered Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Despite the wealthy of information biosignals cary, with Intelligent Environments (IE) they are often disregarded. We discuss issues we faced with integrating reliable biosignals into a real-world IE. These include the limited conductivity of dry sensors, movement artifacts, and placement issues. Subsequently, we introduce a real-time Signal Quality Indicator (SQI) for ElectroCardioGram (ECG), which consists of a Signal Loss Indicator (SLI) that detects signal capping, flatlining, high-frequency noise, and low-frequency noise. If the SLI detects a signal, the Signal Usability Indicator (SUI) subsequently processes the signal using the reference Pan-Tompkins algorithm and a dedicated filter to extract heart rate. The SQI marks what parts of the signal can and cannot be used for analysis. As such, it allows empirical calibration and, hence, the use of biosensors in real-world IE.

Original language	English
Title of host publication	Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)
Editors	Girish Bekaroo, Somaya Ben Allouch, Massimo Mecella
Place of Publication	Amsterdam, The Netherlands
Publisher	IOS Press
Pages	24-33
Number of pages	10
ISBN (Electronic)	978-1-64368-405-5
ISBN (Print)	978-1-64368-404-8
DOIs	https://doi.org/10.3233/AISE230006
Publication status	Published - 2023
Event	12th International Workshop on the Reliability of Intelligent Environments: 19th International Conference on Intelligent Environments (IE2023) - Uniciti, Flic en Flac, Mauritius Duration: 27 Jun 2023 → 28 Sept 2023 https://www.ugr.es/~worie/2023/

Publication series

Name	Ambient Intelligence and Smart Environments
Publisher	IOS Press
Volume	32
ISSN (Print)	1875-4163
ISSN (Electronic)	1875-4171

Workshop

Workshop	12th International Workshop on the Reliability of Intelligent Environments
Abbreviated title	WoRIE2023
Country/Territory	Mauritius
City	Flic en Flac
Period	27/06/23 → 28/09/23
Internet address	https://www.ugr.es/~worie/2023/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Keywords

intelligent environments
signal quality
reliability
sensors
biosignals

Access to Document

10.3233/AISE230006Licence: CC BY-NC

AISE-32-AISE230006Final published version, 2.18 MBLicence: CC BY-NC

2 Article
1 Chapter
1 Conference contribution

Platform and Hardware Independent Reliable Signal Processing
Arts, L., Paridaens, J. & van den Broek, E., 2023, Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023). Bekaroo, G., Ben Allouch, S. & Mecella, M. (eds.). Vol. 32. p. 14-23 10 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Open Access
File
Speech Emotion Recognition using Deep Convolutional Neural Networks improved by the fast Continuous Wavelet Transform
Van Zwol, B., Langezaal, M., Arts, L., Gatt, A. & Van den Broek, E., 2023, Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023). Bekaroo, G., Ben Allouch, S. & Mecella, M. (eds.). IOS Press, p. 63-72 (Ambient Intelligence and Smart Environments; vol. 32).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Open Access
File
The fast continuous wavelet transformation (fCWT) for real-time, high-quality, noise-resistant time–frequency analysis
Arts, L. & van den Broek, E., 27 Jan 2022, In: Nature Computational Science. 2, 1, p. 47-58 12 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
Subjective and Objective Assessment of Full Bandwidth Speech Quality
Beerends, J. G., Neumann, N. M. P., van den Broek, E. L., Llagostera, A., Torres Menendez, J., Schmidmer, C. & Berger, J., 2020, In: IEEE/ACM Transactions on Audio, Speech and Language Processing. 28, 1, p. 440-449 10 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File

Cite this

Arts, L. P. A., & van den Broek, E. L. (2023). Biosignal Quality Control in Real-World Intelligent Environments. In G. Bekaroo, S. Ben Allouch, & M. Mecella (Eds.), Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023) (pp. 24-33). (Ambient Intelligence and Smart Environments; Vol. 32). IOS Press. https://doi.org/10.3233/AISE230006

Arts, Lukas P.A. ; van den Broek, Egon L. / Biosignal Quality Control in Real-World Intelligent Environments. Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023). editor / Girish Bekaroo ; Somaya Ben Allouch ; Massimo Mecella. Amsterdam, The Netherlands : IOS Press, 2023. pp. 24-33 (Ambient Intelligence and Smart Environments).

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title = "Biosignal Quality Control in Real-World Intelligent Environments",

abstract = "Despite the wealthy of information biosignals cary, with Intelligent Environments (IE) they are often disregarded. We discuss issues we faced with integrating reliable biosignals into a real-world IE. These include the limited conductivity of dry sensors, movement artifacts, and placement issues. Subsequently, we introduce a real-time Signal Quality Indicator (SQI) for ElectroCardioGram (ECG), which consists of a Signal Loss Indicator (SLI) that detects signal capping, flatlining, high-frequency noise, and low-frequency noise. If the SLI detects a signal, the Signal Usability Indicator (SUI) subsequently processes the signal using the reference Pan-Tompkins algorithm and a dedicated filter to extract heart rate. The SQI marks what parts of the signal can and cannot be used for analysis. As such, it allows empirical calibration and, hence, the use of biosensors in real-world IE.",

keywords = "intelligent environments, signal quality, reliability, sensors, biosignals",

author = "Arts, \{Lukas P.A.\} and \{van den Broek\}, \{Egon L.\}",

year = "2023",

doi = "10.3233/AISE230006",

language = "English",

isbn = "978-1-64368-404-8",

series = "Ambient Intelligence and Smart Environments",

publisher = "IOS Press",

pages = "24--33",

editor = "Girish Bekaroo and \{Ben Allouch\}, \{Somaya \} and Massimo Mecella",

booktitle = "Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)",

address = "Netherlands",

note = "12th International Workshop on the Reliability of Intelligent Environments : 19th International Conference on Intelligent Environments (IE2023), WoRIE2023 ; Conference date: 27-06-2023 Through 28-09-2023",

url = "https://www.ugr.es/\textasciitilde{}worie/2023/",

}

Arts, LPA & van den Broek, EL 2023, Biosignal Quality Control in Real-World Intelligent Environments. in G Bekaroo, S Ben Allouch & M Mecella (eds), Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023). Ambient Intelligence and Smart Environments, vol. 32, IOS Press, Amsterdam, The Netherlands, pp. 24-33, 12th International Workshop on the Reliability of Intelligent Environments, Flic en Flac, Mauritius, 27/06/23. https://doi.org/10.3233/AISE230006

Biosignal Quality Control in Real-World Intelligent Environments. / Arts, Lukas P.A.; van den Broek, Egon L.
Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023). ed. / Girish Bekaroo; Somaya Ben Allouch; Massimo Mecella. Amsterdam, The Netherlands: IOS Press, 2023. p. 24-33 (Ambient Intelligence and Smart Environments; Vol. 32).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Biosignal Quality Control in Real-World Intelligent Environments

AU - Arts, Lukas P.A.

AU - van den Broek, Egon L.

PY - 2023

Y1 - 2023

N2 - Despite the wealthy of information biosignals cary, with Intelligent Environments (IE) they are often disregarded. We discuss issues we faced with integrating reliable biosignals into a real-world IE. These include the limited conductivity of dry sensors, movement artifacts, and placement issues. Subsequently, we introduce a real-time Signal Quality Indicator (SQI) for ElectroCardioGram (ECG), which consists of a Signal Loss Indicator (SLI) that detects signal capping, flatlining, high-frequency noise, and low-frequency noise. If the SLI detects a signal, the Signal Usability Indicator (SUI) subsequently processes the signal using the reference Pan-Tompkins algorithm and a dedicated filter to extract heart rate. The SQI marks what parts of the signal can and cannot be used for analysis. As such, it allows empirical calibration and, hence, the use of biosensors in real-world IE.

AB - Despite the wealthy of information biosignals cary, with Intelligent Environments (IE) they are often disregarded. We discuss issues we faced with integrating reliable biosignals into a real-world IE. These include the limited conductivity of dry sensors, movement artifacts, and placement issues. Subsequently, we introduce a real-time Signal Quality Indicator (SQI) for ElectroCardioGram (ECG), which consists of a Signal Loss Indicator (SLI) that detects signal capping, flatlining, high-frequency noise, and low-frequency noise. If the SLI detects a signal, the Signal Usability Indicator (SUI) subsequently processes the signal using the reference Pan-Tompkins algorithm and a dedicated filter to extract heart rate. The SQI marks what parts of the signal can and cannot be used for analysis. As such, it allows empirical calibration and, hence, the use of biosensors in real-world IE.

KW - intelligent environments

KW - signal quality

KW - reliability

KW - sensors

KW - biosignals

U2 - 10.3233/AISE230006

DO - 10.3233/AISE230006

M3 - Conference contribution

SN - 978-1-64368-404-8

T3 - Ambient Intelligence and Smart Environments

SP - 24

EP - 33

BT - Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)

A2 - Bekaroo, Girish

A2 - Ben Allouch, Somaya

A2 - Mecella, Massimo

PB - IOS Press

CY - Amsterdam, The Netherlands

T2 - 12th International Workshop on the Reliability of Intelligent Environments

Y2 - 27 June 2023 through 28 September 2023

ER -

Biosignal Quality Control in Real-World Intelligent Environments

Abstract

Publication series

Workshop

UN SDGs

Keywords

Access to Document

Fingerprint

Research output

Platform and Hardware Independent Reliable Signal Processing

Speech Emotion Recognition using Deep Convolutional Neural Networks improved by the fast Continuous Wavelet Transform

The fast continuous wavelet transformation (fCWT) for real-time, high-quality, noise-resistant time–frequency analysis

Subjective and Objective Assessment of Full Bandwidth Speech Quality

Cite this