Safe

absorption near infrared artificial intelligence bladder irrigation monitor bubble detection hemoglobin sensor

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
25 Aug 2021
Historique:
received: 25 06 2021
revised: 16 08 2021
accepted: 24 08 2021
entrez: 10 9 2021
pubmed: 11 9 2021
medline: 14 9 2021
Statut: epublish

Résumé

We have developed a sensor for monitoring the hemoglobin (Hb) concentration in the effluent of a continuous bladder irrigation. The Hb concentration measurement is based on light absorption within a fixed measuring distance. The light frequency used is selected so that both arterial and venous Hb are equally detected. The sensor allows the measurement of the Hb concentration up to a maximum value of 3.2 g/dL (equivalent to ≈20% blood concentration). Since bubble formation in the outflow tract cannot be avoided with current irrigation systems, a neural network is implemented that can robustly detect air bubbles within the measurement section. The network considers both optical and temporal features and is able to effectively safeguard the measurement process. The sensor supports the use of different irrigants (salt and electrolyte-free solutions) as well as measurement through glass shielding. The sensor can be used in a non-invasive way with current irrigation systems. The sensor is positively tested in a clinical study.

Identifiants

pubmed: 34502612
pii: s21175723
doi: 10.3390/s21175723
pmc: PMC8433749
pii:
doi:

Substances chimiques

Hemoglobins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Federal Ministry of Education and Research, Germany
ID : VISIMON 16SV7861K

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Auteurs

Gerd Reis (G)

Department Augmented Vision, German Research Center for Artificial Intelligence, 67663 Kaiserslautern, Germany.

Xiaoying Tan (X)

Department Augmented Vision, German Research Center for Artificial Intelligence, 67663 Kaiserslautern, Germany.

Lea Kraft (L)

Medical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.

Mehmet Yilmaz (M)

Medical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.

Dominik Stephan Schoeb (DS)

Medical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.

Arkadiusz Miernik (A)

Medical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.

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Classifications MeSH