{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-sequence-modeling-for-pressure","title":"Deep Sequence Modeling for Pressure Controlled Mechanical Ventilation","arxiv_id":null,"date":"2022-03-04","proceeding":"medRxiv 2022 3","authors":["Abdelghani Belgaid"],"abstract":"This paper presents a deep neural network approach to simulate the pressure of a mechanical ventilator. The traditional mechanical ventilator has a control pressure monitored by a medical practitioner, which could behave inaccurately by missing the proper pressure. This paper exploits recent studies and provides a simulator based on a deep sequence model to predict the airway pressure in the respiratory circuit during the inspiratory phase of a breath given a time series of control parameters and lung attributes. This approach demonstrates the effectiveness of neural network-based controllers in tracking pressure waveforms significantly better than the current industry standard and provides insights to build effective and robust pressure-controlled mechanical ventilators.","url_abs":"https://www.medrxiv.org/content/10.1101/2022.03.02.22271790v1","url_pdf":"https://www.medrxiv.org/content/10.1101/2022.03.02.22271790v1.full.pdf+html","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-sequence-modeling-for-pressure","repo_url":"https://github.com/abdelghanibelgaid/nnvpp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"time-series-1","task_name":"Time Series"},{"task_slug":"time-series","task_name":"Time Series Analysis"}],"methods":[{"method_slug":"bilstm","method_name":"BiLSTM"},{"method_slug":"resbilstm","method_name":"ResBiLSTM"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/time-series-on-ventilator-pressure-prediction","task":"Time Series Analysis","dataset":"Ventilator Pressure Prediction","model":"ResBiLSTM","rank_in_archive_order":1,"of":1,"metrics":{"MAE":"0.1322"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}