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Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home

William Do, Richard Russell, Christopher Wheeler, Hamza Javed, Cihan Dogan, George Cunningham, Vikaran Khanna, Maarten De Vos, Imran Satia, Mona Bafadhel, Ian Pavord
ERJ Open Research 2022 8: 00265-2022; DOI: 10.1183/23120541.00265-2022
William Do
1Albus Health, Oxford, UK
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  • For correspondence: william.do@albushealth.com
Richard Russell
2Respiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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  • ORCID record for Richard Russell
Christopher Wheeler
3Royal Brompton Hospital, London, UK
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Hamza Javed
1Albus Health, Oxford, UK
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Cihan Dogan
1Albus Health, Oxford, UK
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George Cunningham
1Albus Health, Oxford, UK
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Vikaran Khanna
1Albus Health, Oxford, UK
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Maarten De Vos
4Department of Electrical Engineering, and Department of Development and Regeneration, KU Leuven, Leuven, Belgium
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Imran Satia
5Department of Medicine, Division of Respirology, McMaster University, Hamilton, Canada
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  • ORCID record for Imran Satia
Mona Bafadhel
6Faculty of Life Sciences and Medicine, School of Immunology and Microbial Sciences, King's College London, London, UK
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  • ORCID record for Mona Bafadhel
Ian Pavord
2Respiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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    FIGURE 1

    Example use-case and placement of Albus Home RD.

  • FIGURE 2
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    FIGURE 2

    Bland–Altman plots showing agreement in cough counts between Albus system and human reference counts. Solid lines show mean difference. Dotted lines show 95% limits of agreement (1.96 × sd). Data points are shown as different shapes for each condition (as per key) and in different colours for each subject. a) Comparison of hourly cough counts for each hour of validation set (n=375; multiple hours may overlap in count and difference). Mean difference: −0.6±2.0 coughs·h−1. b) Comparison of mean hourly cough counts for each night of validation set (n=30; three nights each for 10 subjects). Mean difference: −0.7±1.3 coughs·h−1.

Tables

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  • TABLE 1

    Validation set data

    DiagnosesCOPD#, asthma¶, CF+, sarcoidosis§
    Total nights n30
    Total hours n375
    Mean recording length per night hours12.5
    Total coughs in whole validation set n2709
    Coughs per night nMinimum 18, geometric mean 69 (gsd 2.1), maximum 310

    CF: cystic fibrosis; gsd: geometric standard deviation. #: n=5; ¶: n=3; +: n=1; §: n=1.

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    Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home
    William Do, Richard Russell, Christopher Wheeler, Hamza Javed, Cihan Dogan, George Cunningham, Vikaran Khanna, Maarten De Vos, Imran Satia, Mona Bafadhel, Ian Pavord
    ERJ Open Research Oct 2022, 8 (4) 00265-2022; DOI: 10.1183/23120541.00265-2022

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    Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home
    William Do, Richard Russell, Christopher Wheeler, Hamza Javed, Cihan Dogan, George Cunningham, Vikaran Khanna, Maarten De Vos, Imran Satia, Mona Bafadhel, Ian Pavord
    ERJ Open Research Oct 2022, 8 (4) 00265-2022; DOI: 10.1183/23120541.00265-2022
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