ReSurfEMG

Commits <ul> <li>f78257e: update changelog (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/244">#244</a></li> <li>2ec1449: update changelog (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/244">#244</a></li> <li>45a91d0: up to python 3.9 everywhere (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/245">#245</a></li> <li>ffabaaf: change docker to 3.9 on file (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/245">#245</a></li> <li>ccea0f1: fast update instructions (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/246">#246</a></li> <li>15df43d: Upgrade environment.yml to Python 3.9 (wvxvw) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/246">#246</a></li> <li>5275c14: checking array and other factors in new mne (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/246">#246</a></li> <li>ac1b797: update changelog and new-old environment file (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/246">#246</a></li> <li>5f2e444: paper changed as JOSS reviewers suggested (ElineOppersma) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/247">#247</a></li> <li>fdac9fb: fixing for next version to be 39 (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/248">#248</a></li> <li>7a99f73: add readme details (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/248">#248</a></li> <li>9f0742c: correct path for venv activation (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/249">#249</a></li> <li>a09cb40: fix mamba hyperlink, cosmetic (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/249">#249</a></li> <li>267389a: simplified (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/249">#249</a></li> <li>ccc59de: update readme for clarity (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/249">#249</a></li> <li>3afb6c0: start multiplatform install instructions (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>2bd289a: add etc folder and more test (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>8de17a0: redo internal link (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>aa24447: try hyphen for getting-started (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>0387c41: nonconda (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>7274f8f: try manual (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>703503c: final getting started link try (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>547b27a: Instructions for installing using pip / on Linux (wvxvw) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>a0d0d10: perfection (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>bc500ad: Walter corrections (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/253">#253</a></li> <li>57e5fe3: using double quotation in json (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>42ce952: notebook for getting started (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>7231ac5: removing config from cli (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>36aaf8d: usig synthetic data and multiple extensions (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>3606c77: added synthetic emg data (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>2740958: added testing and new notebook to readme file (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>7059cd3: Revert "removing config from cli" (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>e667a85: use config if paths are empty (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>55a7ebc: update environment with tkinter (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>eea0099: fixed extension search and use of path.join (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>41723a7: more elegant solution (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/250">#250</a></li> <li>6aafb46: update changelog (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/254">#254</a></li> <li>e471b96: get rid off egg (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/254">#254</a></li> <li>f850c37: reupdate change log to v0.1.1 (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/256">#256</a></li> <li>6ef7174: oleg suggestions (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/257">#257</a></li> <li>24ebebc: fix changelog (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/257">#257</a></li> <li>73d3619: release 0.1.2 (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/258">#258</a></li> <li>bceff91: changed getting ready notebook (Walter Baccinelli) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/259">#259</a></li> <li>013d8ec: retool developer instrucitons (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/260">#260</a></li> <li>f769645: [cr] Reworded paragraph about developers roles (wvxvw) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/260">#260</a></li> <li>12061b0: clarify install_dev further (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/260">#260</a></li> <li>36876d6: reword O (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/260">#260</a></li> <li>69c8d6d: bib update (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/265">#265</a></li> <li>91d025f: bib update (Candace Makeda Moore, MD) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/265">#265</a></li> <li>8f2e525: Suggested types/fix-ups for JOSS paper (AJQuinn) <a href="https://github.com/ReSurfEMG/ReSurfEMG/pull/266">#266</a></li> <li>4de4081: [fix] Conda no longer tolerates single equals in package version format (wvxvw)</li> </ul>If you use this software please cite as belo

Clinical readiness of virtual patient models for individualised mechanical ventilation: a systematic literature review

Purpose: Individualised optimisation of mechanical ventilation (MV) remains a challenging task in modern intensive care medicine, which calls for clinical decision support technologies. Model-based decision support systems could help assessing the complex interactions between the mechanical ventilator and the individual patient's pathophysiology, providing thorough mechanistic insight in the dynamic clinical course. These so called computational physiological models (CPMs), or virtual patients models, consequently allow for tailoring MV settings accordingly. To assess the current advancement of CPMs for individualised MV, we critically appraised the current literature on the clinical readiness of these models in the ICU. Methods: A systematic literature search was conducted on February 13, 2023 in MEDLINE ALL, Embase, Scopus and Web of Science to identify original research articles describing CPMs for individualised MV in the ICU. The modelled physiological phenomena, clinical applications, and clinical level of readiness were extracted. Results: Out of 6,333 identified unique publications, 149 articles were included. CPMs for individualised MV emerged since the 1970s with increasing levels of readiness (Figure 1). Models incorporated one (n=109, 73%) up to four (n=6, 4%) physiological phenomena in different combinations. 131 articles (88%) modelled lung mechanics, mainly to optimise lung protective ventilation. Gas exchange (n=38, 26%) and gas homeostasis (n=36, 27%) models had mainly applications in controlling oxygenation and ventilation. Models of respiratory muscle function for diaphragm protective ventilation emerged recently (n=3, 2%). Discussion: CPMs are evolving towards clinical application to address the current main challenges of individualised MV. The majority of CPMs are focused on lung mechanics, to attain lung protective strategies. CPMs to improve oxygenation and ventilation are advancing by integrating models of gas exchange, gas homeostasis and respiratory control. Recently, also models dedicated to respiratory muscle function for diaphragm protective ventilation have emerged. Conclusion: Computational physiological models are advancing towards clinical application as an explainable tool to optimise individualised MV. Trial number registration: PROSPERO – CRD4202230171

Ventilating two patients with one ventilator: technical setup and laboratory testing

With a modified circuit, it is feasible to ventilate two patients with one ventilator over a relevant range of compliances. Adding inspiratory resistance allows individual titration of tidal volume, and incorporating one-way valves prevents pendelluft. https://bit.ly/3ex8SYP

Monitoring and Evaluation of Patient Engagement in Health Product Research and Development: Co-Creating a Framework for Community Advisory Boards

Purpose: While patient engagement is becoming more customary in developing health products, its monitoring and evaluation to understand processes and enhance impact are challenging. This article describes a patient engagement monitoring and evaluation (PEME) framework, co-created and tailored to the context of community advisory boards (CABs) for rare diseases in Europe. It can be used to stimulate learning and evaluate impacts of engagement activities. Methods: A participatory approach was used in which data collection and analysis were iterative. The process was based on the principles of interactive learning and action and guided by the PEME framework. Data were collected via document analysis, reflection sessions, a questionnaire, and a workshop. Results: The tailored framework consists of a theory of change model with metrics explaining how CABs can reach their objectives. Of 61 identified metrics, 17 metrics for monitoring the patient engagement process and short-term outcomes were selected, and a “menu” for evaluating long-term impacts was created. Example metrics include “Industry representatives’ understanding of patients’ unmet needs;” “Feeling of trust between stakeholders;” and “Feeling of preparedness.” “Alignment of research programs with patients’ needs” was the highest-ranked metric for long-term impact. Conclusions: Findings suggest that process and short-term outcome metrics could be standardized across CABs, whereas long-term impact metrics may need to be tailored to the collaboration from a proposed menu. Accordingly, we recommend that others adapt and refine the PEME framework as appropriate. The next steps include implementing and testing the evaluation framework to stimulate learning and share impacts

Students' participation in collaborative research should be recognised

Letter to the editor