eprintid: 10054486 rev_number: 31 eprint_status: archive userid: 608 dir: disk0/10/05/44/86 datestamp: 2018-08-20 13:50:55 lastmod: 2021-10-03 23:55:24 status_changed: 2018-08-20 13:50:55 type: article metadata_visibility: show creators_name: Khodadad, D creators_name: Nordebo, S creators_name: Mueller, B creators_name: Waldmann, AD creators_name: Yerworth, R creators_name: Becher, T creators_name: Frerichs, I creators_name: Sophocleous, L creators_name: van Kaam, A creators_name: Miedema, M creators_name: Seifnaraghi, N creators_name: Bayford, RH title: Optimized breath detection algorithm in electrical impedance tomography ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F46 divisions: F42 keywords: Electrical Impedance Tomography, Receiver Operating Characteristics, breath detection, global optimisation, inspiration, lung imaging, respiratory system note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: OBJECTIVE: This paper defines a method for optimizing the breath delineation algorithms used in Electrical Impedance Tomography (EIT). In lung EIT the identification of the breath phases is central for generating tidal impedance variation images, subsequent data analysis and clinical evaluation. The optimisation of these algorithms is particularly important in neonatal care since the existing breath detectors developed for adults may give insufficient reliability in neonates due to their very irregular breathing pattern. APPROACH: Our approach is generic in the sense that it relies on the definition of a gold standard and the associated definition of detector sensitivity and specificity, an optimisation criterion and a set of detector parameters to be investigated. The gold standard has been defined by 11 clinicians with previous experience with EIT and the performance of our approach is described and validated using a neonatal EIT dataset acquired within the EU-funded CRADL project. MAIN RESULTS: Three different algorithms are proposed that are improving the breath detector performance by adding conditions on 1) maximum tidal breath rate obtained from zero-crossings of the EIT breathing signal, 2) minimum tidal impedance amplitude and 3) minimum tidal breath rate obtained from Time-Frequency (TF) analysis. As a baseline the zero crossing algorithm has been used with some default parameters based on the Swisstom EIT device. SIGNIFICANCE: Based on the gold standard, the most crucial parameters of the proposed algorithms are optimised by using a simple exhaustive search and a weighted metric defined in connection with the Receiver Operating Characterics (ROC). This provides a practical way to achieve any desirable trade-off between the sensitivity and the specificity of the detectors. date: 2018-09 date_type: published official_url: https://doi.org/10.1088/1361-6579/aad7e6 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1575906 doi: 10.1088/1361-6579/aad7e6 lyricists_name: Bayford, Richard lyricists_name: Yerworth, Rebecca lyricists_id: RBAYF91 lyricists_id: RJYER43 actors_name: Yerworth, Rebecca actors_id: RJYER43 actors_role: owner full_text_status: public publication: Physiological Measurement volume: 39 number: 9 article_number: 094001 event_location: England issn: 1361-6579 citation: Khodadad, D; Nordebo, S; Mueller, B; Waldmann, AD; Yerworth, R; Becher, T; Frerichs, I; ... Bayford, RH; + view all <#> Khodadad, D; Nordebo, S; Mueller, B; Waldmann, AD; Yerworth, R; Becher, T; Frerichs, I; Sophocleous, L; van Kaam, A; Miedema, M; Seifnaraghi, N; Bayford, RH; - view fewer <#> (2018) Optimized breath detection algorithm in electrical impedance tomography. Physiological Measurement , 39 (9) , Article 094001. 10.1088/1361-6579/aad7e6 <https://doi.org/10.1088/1361-6579%2Faad7e6>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10054486/1/O.%20B.%20D.%20A.%20in%20EIT_V9_Accepted%20Revision%201_DK.pdf