IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677921
Jim Banks
{"title":"Pulsed Frequency Ablation: The Game Changer for Atrial Fibrillation.","authors":"Jim Banks","doi":"10.1109/MPULS.2026.3677921","DOIUrl":"10.1109/MPULS.2026.3677921","url":null,"abstract":"<p><p>In the search for more effective ways to treat atrial fibrillation and other cardiac arrhythmias, Pulsed Field Ablation has emerged as a way to achieve better outcomes for more patients in a shorter time. Jim Banks looks at its rollout in the U.K., where its dramatic effect on waiting lists is laying the groundwork for much wider use in the National Health Service.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"5-8"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677917
Nathan Allen-Zimmerer
{"title":"From Bridge to Destination: How Next-Generation Ventricular Assist Devices are Redefining End-Stage Heart Failure.","authors":"Nathan Allen-Zimmerer","doi":"10.1109/MPULS.2026.3677917","DOIUrl":"10.1109/MPULS.2026.3677917","url":null,"abstract":"<p><p>Next-generation LVADs transform heart failure care from transplant bridge to destination therapy.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"38-42"},"PeriodicalIF":0.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677922
Naheem Noah
{"title":"When Engineering Meets Care Coordination: A Student's Journey to Solve Health Care's Invisible Bottleneck.","authors":"Naheem Noah","doi":"10.1109/MPULS.2026.3677922","DOIUrl":"10.1109/MPULS.2026.3677922","url":null,"abstract":"<p><p>Health care referral coordination remains one of the most persistent inefficiencies in the U.S. health care system, with millions of annual referrals still managed through phone calls, faxes, and manual spreadsheets. This article documents one computer science Ph.D. student's journey from personal frustration to building Carenector, an AI-powered care coordination platform. Drawing on knowledge graph modeling, privacy-preserving ephemeral computation, and simultaneous constraint satisfaction, the platform reframes the referral process as an engineering matching problem. The system's knowledge graph represents facilities and services across multiple regions, updating dynamically to reflect real-time availability, without storing any personally identifiable patient information. Initially deployed as a consumer-facing tool for individuals and families, the platform has since expanded to an institutional version targeting hospital discharge planning teams, with pilot results demonstrating significant time savings per referral. This work highlights how computational engineering principles, applied to workflow design, data modeling, and human-AI collaboration, can transform even the most entrenched manual processes in health care.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"55-59"},"PeriodicalIF":0.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677918
Kevin Otto
{"title":"At the Crossroads of Innovation.","authors":"Kevin Otto","doi":"10.1109/MPULS.2026.3677918","DOIUrl":"10.1109/MPULS.2026.3677918","url":null,"abstract":"<p><p>At Purdue University's Weldon School of Biomedical Engineering, we are building on more than 50 years of translational impact to accelerate the future of health care innovation. Grounded in the pioneering legacy of Leslie A. Geddes, our program continues to grow rapidly in both student enrollment and research activity while advancing discoveries in areas such as neurotechnology and medical devices. Through deep partnerships with industry leaders including Cook Medical, we are connecting education, research, and clinical translation to ensure that new technologies reach patients. Our students and faculty are driving innovation from the classroom to commercialization, from award-winning capstone designs to startup ventures addressing critical needs such as stroke intervention. With an expanding presence in Indianapolis and strong alignment with Indiana's thriving life sciences ecosystem, we are advancing a clear vision: to become the world's most consequential biomedical engineering program by 2030.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"69-72"},"PeriodicalIF":0.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677947
Tejas Padliya, Forhad Hossain
{"title":"Robotics in the Cath Lab: Precision, Safety, and the Rise of Remote Cardiac Interventions.","authors":"Tejas Padliya, Forhad Hossain","doi":"10.1109/MPULS.2026.3677947","DOIUrl":"10.1109/MPULS.2026.3677947","url":null,"abstract":"<p><p>This article examines the growing role of robotics in the cardiac catheterization laboratory as interventional cardiology moves toward more complex coronary and structural heart procedures. Robotic systems improve precision through motion scaling and tremor reduction while reducing operator fatigue and cumulative radiation exposure. The article argues that successful adoption depends not only on mechanical accuracy, but also on workflow integration, human-machine collaboration, safety design, regulatory readiness, and financial viability. It highlights the challenges of fitting robotic platforms into fast-paced cath lab environments where setup time, team coordination, and rapid conversion to manual control are critical. The discussion also explores remote robotic intervention to distribute specialist expertise across sites with limited staffing depth. Finally, the article considers how artificial intelligence, computer vision, and predictive analytics may extend robotic platforms from assistive tools into more intelligent systems that support safer, more scalable, and more accessible cardiovascular care.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"27-30"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677915
Jeewika Ranaweera
{"title":"The Heart of the Metaverse: How Immersive Technologies Are Revolutionizing Cardiac Care.","authors":"Jeewika Ranaweera","doi":"10.1109/MPULS.2026.3677915","DOIUrl":"10.1109/MPULS.2026.3677915","url":null,"abstract":"<p><p>From loss to digital twins: metaverse reshaping personalized cardiac care.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"73-77"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677948
Leslie Mertz
{"title":"Building Intelligent ECG.","authors":"Leslie Mertz","doi":"10.1109/MPULS.2026.3677948","DOIUrl":"10.1109/MPULS.2026.3677948","url":null,"abstract":"<p><p>New technology by HeartSciences Inc. is using signal processing and a cloud platform driven by artificial intelligence to gather frequency and energy data in electrocardiogram signals; retrieve information beyond visible in a standard ECG; and identify early signs of heart disease in an easy-to-read format. The technology includes the MyoVista Insights platform and the MyoVista wavECG device.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"31-37"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2025.3618441
Rachita Navara, Margaret Ferari, Walker McHugh
{"title":"SafeBeat Rx-Moving ECG AI Beyond Diagnostics to Recommending Treatment.","authors":"Rachita Navara, Margaret Ferari, Walker McHugh","doi":"10.1109/MPULS.2025.3618441","DOIUrl":"10.1109/MPULS.2025.3618441","url":null,"abstract":"<p><p>Drug-induced QT prolongation is the leading cause of FDA nonapproval and a key safety concern for many medications, including cardiac drugs, antibiotics, psychotropic drugs, and oncology treatments. Conventional automated QT algorithms have shown variable reliability in recordings with abnormal or irregular morphology, with misclassification rates up to 75%. This article presents SafeBeat Rx, an AI-powered ECG platform that provides beat-by-beat ECG analysis, enabling full transparency and optional adjustment of measurements for each individual ECG heartbeat. Validated against expert cardiologist adjudication, SafeBeat addresses a critical gap in postdischarge cardiac surveillance and represents a novel approach to guideline-adherent pharmacological disease management.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"65-68"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677945
Fatima AlZaabi, Ali Al Bataineh
{"title":"Water-Content-Aware Machine Learning for Screening Multiphysics Tissue Property Tables.","authors":"Fatima AlZaabi, Ali Al Bataineh","doi":"10.1109/MPULS.2026.3677945","DOIUrl":"10.1109/MPULS.2026.3677945","url":null,"abstract":"<p><p>Tissue property tables underpin radio frequency (RF) safety assessments, bioheat simulations, and magnetic resonance imaging (MRI) specific absorption rate (SAR) modelling. Because such tables consolidate measurements from many independent studies spanning different protocols and tissue conditions, cross-property patterns can be subtle and difficult to verify manually. We present a water-content-aware screening workflow that learns these cross-property relationships from the IT'IS Tissue Properties Database V5.0 (112 entries) and uses them to produce a ranked check-first list of entries that merit closer review. Three methodological contributions distinguish this work: (i) a $100 %$ -missing feature column is explicitly identified and removed before modelling; (ii) binary missingness indicator features are added alongside median imputation, enabling the model to treat observed and imputed values differently; and (iii) a systematic duplicate featurevector audit is conducted before fitting, revealing 16 entry pairs that share identical post-imputation profiles. An Extremely Randomized Trees regressor achieves 5-fold cross-validation $mathrm{R}^2=0.630$ (MAE $=7.48$ percentage points (pp), RMSE = 17.04 pp). Split conformal prediction wraps the model with distribution-free $90 %$ uncertainty bands ( $hat{mathrm{q}}=14.0 mathrm{pp}$ ). The resulting screening list and uncertainty estimates give simulation teams a principled, automated starting point for traceability review before tissue properties enter multi-physics workflows.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"46-54"},"PeriodicalIF":0.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE PulsePub Date : 2026-03-01DOI: 10.1109/MPULS.2026.3677914
Chad Andresen
{"title":"Industry Corner Live With BioBeat CEO Arik Ben Ishay.","authors":"Chad Andresen","doi":"10.1109/MPULS.2026.3677914","DOIUrl":"10.1109/MPULS.2026.3677914","url":null,"abstract":"<p><p>Hypertension affects nearly 47% of US adults, yet traditional cuff-based monitoring often fails to provide the longitudinal data required for effective treatment due to patient noncompliance and the prevalence of white coat syndrome. BioBeat addresses this clinical gap with its FDA-cleared, cuffless ambulatory blood pressure monitoring (ABPM) system, which utilizes a proprietary photoplethysmography (PPG) disposable patch to continuously capture 13 vital signs over 24 hours. By integrating real-time physiological data with patient-logged behavioral events through a cloud-based platform, the technology enables more precise medication titration and provides a high-fidelity alternative to intermittent, oscillometric testing. Currently adopted by over 160 hospitals and utilized in numerous pharmaceutical clinical trials, this transition to continuous, sensor-based monitoring represents a paradigm shift in cardiovascular care, facilitating a move toward personalized, data-driven management of chronic hypertension.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 2","pages":"60-64"},"PeriodicalIF":0.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}