{
    "abstract": "",
    "authors": [
        {
            "affiliation": "Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, People's Republic of China.\nChongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, People's Republic of China.",
            "firstname": "Liqing",
            "initials": "L",
            "lastname": "Yang"
        },
        {
            "affiliation": "Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, People's Republic of China.\nChongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, People's Republic of China.",
            "firstname": "Zhimei",
            "initials": "Z",
            "lastname": "Ding"
        },
        {
            "affiliation": "Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, People's Republic of China.\nChongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing, People's Republic of China.",
            "firstname": "Jiangjie",
            "initials": "J",
            "lastname": "Zhou"
        },
        {
            "affiliation": "Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, People's Republic of China.\nChongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, People's Republic of China.",
            "firstname": "Siyuan",
            "initials": "S",
            "lastname": "Zhang"
        },
        {
            "affiliation": "Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, People's Republic of China.\nChongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing, People's Republic of China.",
            "firstname": "Qi",
            "initials": "Q",
            "lastname": "Wang"
        },
        {
            "affiliation": "Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, People's Republic of China.\nChongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing, People's Republic of China.",
            "firstname": "Kaige",
            "initials": "K",
            "lastname": "Zheng"
        },
        {
            "affiliation": "Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, People's Republic of China.\nChongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing, People's Republic of China.",
            "firstname": "Xing",
            "initials": "X",
            "lastname": "Wang"
        },
        {
            "affiliation": "Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, People's Republic of China.\nChongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing, People's Republic of China.",
            "firstname": "Lin",
            "initials": "L",
            "lastname": "Chen"
        }
    ],
    "conclusions": null,
    "copyrights": "Creative Commons Attribution license.",
    "doi": "10.1088/1361-6579/ad2c13",
    "journal": "Physiological measurement",
    "keywords": [
        "deep learning",
        "machine learning",
        "respiratory signal",
        "sleep-disordered breathing",
        "threshold rule-based algorithms"
    ],
    "methods": null,
    "publication_date": "2024-02-22",
    "pubmed_id": "38387048",
    "results": null,
    "title": "Algorithmic detection of sleep-disordered breathing using respiratory signals: a systematic review.",
    "xml": "<Element 'PubmedArticle' at 0x788504606cf0>"
}