Remote photoplethysmography system for unsupervised monitoring regional anesthesia effectiveness

U. Rubins; A. Miscuks; Z. Marcinkevics; M. Lange

doi:10.1117/12.2297158

Remote photoplethysmography system for unsupervised monitoring regional anesthesia effectiveness

U. Rubins, A. Miscuks, Z. Marcinkevics, M. Lange

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

2 Citations (Scopus)

Abstract

Determining the level of regional anesthesia (RA) is vitally important to both an anesthesiologist and surgeon, also knowing the RA level can protect the patient and reduce the time of surgery. Normally to detect the level of RA, usually a simple subjective (sensitivity test) and complicated quantitative methods (thermography, neuromyography, etc.) are used, but there is not yet a standardized method for objective RA detection and evaluation. In this study, the advanced remote photoplethysmography imaging (rPPG) system for unsupervised monitoring of human palm RA is demonstrated. The rPPG system comprises compact video camera with green optical filter, surgical lamp as a light source and a computer with custom-developed software. The algorithm implemented in Matlab software recognizes the palm and two dermatomes (Medial and Ulnar innervation), calculates the perfusion map and perfusion changes in real-time to detect effect of RA. Seven patients (aged 18-80 years) undergoing hand surgery received peripheral nerve brachial plexus blocks during the measurements. Clinical experiments showed that our rPPG system is able to perform unsupervised monitoring of RA.

Original language	English
Title of host publication	Biophotonics - Riga 2017
Editors	Janis Spigulis
Publisher	SPIE
ISBN (Electronic)	9781510616769
DOIs	https://doi.org/10.1117/12.2297158
Publication status	Published - 2017
Externally published	Yes
Event	2nd International Conference on Biophotonics-Riga 2017 - Riga, Latvia Duration: 27 Aug 2017 → 29 Aug 2017 Conference number: 2 https://www.proceedings.com/spie10592.html

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10592
ISSN (Print)	1605-7422

Conference

Conference	2nd International Conference on Biophotonics-Riga 2017
Abbreviated title	BPR 2017
Country/Territory	Latvia
City	Riga
Period	27/08/17 → 29/08/17
Internet address	https://www.proceedings.com/spie10592.html

Keywords*

Dermatomes
Palm detection
Perfusion
Photoplethysmography imaging
Regional anesthesia
Remote photoplethysmography
Skin microcirculation
Unsupervised monitoring

Field of Science*

1.3 Physical sciences
2.6 Medical engineering

Publication Type*

3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

Access to Document

10.1117/12.2297158

Cite this

@inproceedings{f57201bfcf4d43c8ab25ab4fab36ab74,

title = "Remote photoplethysmography system for unsupervised monitoring regional anesthesia effectiveness",

abstract = "Determining the level of regional anesthesia (RA) is vitally important to both an anesthesiologist and surgeon, also knowing the RA level can protect the patient and reduce the time of surgery. Normally to detect the level of RA, usually a simple subjective (sensitivity test) and complicated quantitative methods (thermography, neuromyography, etc.) are used, but there is not yet a standardized method for objective RA detection and evaluation. In this study, the advanced remote photoplethysmography imaging (rPPG) system for unsupervised monitoring of human palm RA is demonstrated. The rPPG system comprises compact video camera with green optical filter, surgical lamp as a light source and a computer with custom-developed software. The algorithm implemented in Matlab software recognizes the palm and two dermatomes (Medial and Ulnar innervation), calculates the perfusion map and perfusion changes in real-time to detect effect of RA. Seven patients (aged 18-80 years) undergoing hand surgery received peripheral nerve brachial plexus blocks during the measurements. Clinical experiments showed that our rPPG system is able to perform unsupervised monitoring of RA.",

keywords = "Dermatomes, Palm detection, Perfusion, Photoplethysmography imaging, Regional anesthesia, Remote photoplethysmography, Skin microcirculation, Unsupervised monitoring",

author = "U. Rubins and A. Miscuks and Z. Marcinkevics and M. Lange",

note = "Funding Information: This work was supported by the Latvian National research program “Cyber-physical systems, ontologies and biophotonics for safe and smart city and society” (SOPHIS) under the grant agreement #10-4/VPP-4/11. Publisher Copyright: {\textcopyright} 2017 SPIE.; 2nd International Conference on Biophotonics-Riga 2017, BPR 2017 ; Conference date: 27-08-2017 Through 29-08-2017",

year = "2017",

doi = "10.1117/12.2297158",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Janis Spigulis",

booktitle = "Biophotonics - Riga 2017",

address = "United States",

url = "https://www.proceedings.com/spie10592.html",

}

Rubins, U, Miscuks, A, Marcinkevics, Z & Lange, M 2017, Remote photoplethysmography system for unsupervised monitoring regional anesthesia effectiveness. in J Spigulis (ed.), Biophotonics - Riga 2017., 1059203, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10592, SPIE, 2nd International Conference on Biophotonics-Riga 2017, Riga, Latvia, 27/08/17. https://doi.org/10.1117/12.2297158

Remote photoplethysmography system for unsupervised monitoring regional anesthesia effectiveness. / Rubins, U.; Miscuks, A.; Marcinkevics, Z. et al.
Biophotonics - Riga 2017. ed. / Janis Spigulis. SPIE, 2017. 1059203 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10592).

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

TY - GEN

T1 - Remote photoplethysmography system for unsupervised monitoring regional anesthesia effectiveness

AU - Rubins, U.

AU - Miscuks, A.

AU - Marcinkevics, Z.

AU - Lange, M.

N1 - Conference code: 2

PY - 2017

Y1 - 2017

N2 - Determining the level of regional anesthesia (RA) is vitally important to both an anesthesiologist and surgeon, also knowing the RA level can protect the patient and reduce the time of surgery. Normally to detect the level of RA, usually a simple subjective (sensitivity test) and complicated quantitative methods (thermography, neuromyography, etc.) are used, but there is not yet a standardized method for objective RA detection and evaluation. In this study, the advanced remote photoplethysmography imaging (rPPG) system for unsupervised monitoring of human palm RA is demonstrated. The rPPG system comprises compact video camera with green optical filter, surgical lamp as a light source and a computer with custom-developed software. The algorithm implemented in Matlab software recognizes the palm and two dermatomes (Medial and Ulnar innervation), calculates the perfusion map and perfusion changes in real-time to detect effect of RA. Seven patients (aged 18-80 years) undergoing hand surgery received peripheral nerve brachial plexus blocks during the measurements. Clinical experiments showed that our rPPG system is able to perform unsupervised monitoring of RA.

AB - Determining the level of regional anesthesia (RA) is vitally important to both an anesthesiologist and surgeon, also knowing the RA level can protect the patient and reduce the time of surgery. Normally to detect the level of RA, usually a simple subjective (sensitivity test) and complicated quantitative methods (thermography, neuromyography, etc.) are used, but there is not yet a standardized method for objective RA detection and evaluation. In this study, the advanced remote photoplethysmography imaging (rPPG) system for unsupervised monitoring of human palm RA is demonstrated. The rPPG system comprises compact video camera with green optical filter, surgical lamp as a light source and a computer with custom-developed software. The algorithm implemented in Matlab software recognizes the palm and two dermatomes (Medial and Ulnar innervation), calculates the perfusion map and perfusion changes in real-time to detect effect of RA. Seven patients (aged 18-80 years) undergoing hand surgery received peripheral nerve brachial plexus blocks during the measurements. Clinical experiments showed that our rPPG system is able to perform unsupervised monitoring of RA.

KW - Dermatomes

KW - Palm detection

KW - Perfusion

KW - Photoplethysmography imaging

KW - Regional anesthesia

KW - Remote photoplethysmography

KW - Skin microcirculation

KW - Unsupervised monitoring

UR - http://www.scopus.com/inward/record.url?scp=85040745734&partnerID=8YFLogxK

U2 - 10.1117/12.2297158

DO - 10.1117/12.2297158

M3 - Conference contribution

AN - SCOPUS:85040745734

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Biophotonics - Riga 2017

A2 - Spigulis, Janis

PB - SPIE

T2 - 2nd International Conference on Biophotonics-Riga 2017

Y2 - 27 August 2017 through 29 August 2017

ER -

Remote photoplethysmography system for unsupervised monitoring regional anesthesia effectiveness

Abstract

Publication series

Conference

Keywords*

Field of Science*

Publication Type*

Access to Document

Other files and links

Fingerprint

Cite this