{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:42:06Z","timestamp":1777891326178,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T00:00:00Z","timestamp":1682640000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["THC"],"published-print":{"date-parts":[[2023,4,28]]},"abstract":"<jats:p>BACKGROUND: Diaphragmatic electromyographic (EMGdi) is a helpful method to reflect the respiratory center\u2019s activity visually. However, the electrocardiogram (ECG) severely affected its weakness, limiting its use. OBJECTIVE: To remove the ECG artifact from the EMGdi, we designed a Morphological ECG subtraction method (MES) based on three steps: 1) ECG localization, 2) morphological tracking, and 3) ECG subtractor. METHODS: We evaluated the MES method against the wavelet-based dual-threshold and stationary wavelet filters using visual and frequency-domain characteristics (median frequency and power ratio). RESULTS: The results show that the MES method can preserve the features of the original diaphragm signal for both surface diaphragm signal (SEMGdi) and clinical collection of diaphragm signal (EMGdi_clinic), and it is more effective than the wavelet-based dual-threshold and stationary wavelet filtering methods. CONCLUSION: The MES method is more effective than other methods. This technique may improve respiratory monitoring and assisted ventilation in patients with respiratory diseases.<\/jats:p>","DOI":"10.3233\/thc-236029","type":"journal-article","created":{"date-parts":[[2023,4,14]],"date-time":"2023-04-14T12:08:18Z","timestamp":1681474098000},"page":"333-345","source":"Crossref","is-referenced-by-count":1,"title":["Morphological ECG subtraction method for removing ECG artifacts from diaphragm EMG"],"prefix":"10.1177","volume":"31","author":[{"given":"Liang","family":"Guo","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering, South China Normal University, Foshan, Guangdong, China"},{"name":"School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-Wei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, South China Normal University, Foshan, Guangdong, China"},{"name":"School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, South China Normal University, Foshan, Guangdong, China"},{"name":"School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang-Miao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, South China Normal University, Foshan, Guangdong, China"},{"name":"School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian-Heng","family":"Zhang","sequence":"additional","affiliation":[{"name":"The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"2","key":"10.3233\/THC-236029_ref3","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1183\/09031936.00093408","article-title":"Neural respiratory drive in healthy subjects and in COPD","volume":"33","author":"Jolley","year":"2009","journal-title":"Eur. 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