2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)最新文献

筛选

英文中文

Decoding a Hidden Energy State Based on Marked Point Process Cortisol Secretory Events During Cardiac Surgery. 基于心脏手术中标记点过程皮质醇分泌事件的隐藏能量状态解码。

2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom) Pub Date : 2024-11-01 DOI: 10.1109/healthcom60970.2024.10880827

Saman Khazaei, Rose T Faghih

{"title":"Decoding a Hidden Energy State Based on Marked Point Process Cortisol Secretory Events During Cardiac Surgery.","authors":"Saman Khazaei, Rose T Faghih","doi":"10.1109/healthcom60970.2024.10880827","DOIUrl":"10.1109/healthcom60970.2024.10880827","url":null,"abstract":"<p><p>Cortisol is critical in regulating one's energy state in response to stressful events such as surgical procedures. Decoding a cortisol-related energy state during surgery can assist in managing one's overall health status under inflammation. In this study, we decode a hidden cortisol-related energy state from each patient's cortisol profile during coronary arterial bypass grafting surgery. In particular, we employ a Bayesian state estimation approach within an expectation-maximization framework and estimate the energy state from the observation vector, which consists of the inferred cortisol secretory events coupled with a reconstructed high frequency cortisol profile. This reconstructed cortisol profile has a one-minute resolution and is obtained by using the estimates from deconvolution of cortisol data sampled at every 10 minutes. We find a higher energy state within the post-surgery phase compared to the surgery phase for all the studied patients (10 patients), which may depict the decoder's reliability in manifesting clinically relevant information. Tracking the person-specific cortisol-related energy state during surgery could provide insights into intervention design procedures and treatment plans.</p>","PeriodicalId":520952,"journal":{"name":"2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12277034/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0