
Philips Research
Articles
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Jan 10, 2025 |
thelancet.com | Philips Research
KeywordsSepsisMachine learningEmergency serviceElectronic health recordsClinical decision support systemsEvidence before this studyBefore undertaking this study, we conducted a comprehensive review of the existing literature on machine learning (ML) applications for sepsis prediction and screening in emergency departments (ED). Searches were conducted in PubMed, Embase, Scopus, Web of Science and Cochrane Library databases.
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Sep 2, 2024 |
link.springer.com | Philips Research
AbstractElectrochemotherapy, clinically established for treating (sub)cutaneous tumors, has been standardized in the framework of the European Standard Operating Procedure on Electrochemotherapy (ESOPE). Due to common side effects of chemotherapeutic drugs, recent advances focus on non-cytotoxic agents, like calcium, to induce cell death (calcium electroporation).
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May 4, 2024 |
biomedical-engineering-online.biomedcentral.com | van Dijk |Philips Research
For this study, a total of 198 subjects, aged 18 and older, and not undergoing continuous airway pressure therapy, were obtained from the SOMNIA database [28]. No specific selection criteria were imposed based on body mass index (BMI), sex, or AHI. All subjects participated in routine PSG monitoring at the Kempenhaeghe Center for Sleep Medicine, located in Heeze, the Netherlands, between June 2017 and November 2017.
Model-based detection and classification of premature contractions from photoplethysmography signals
Sep 27, 2023 |
academic.oup.com | Philips Research |van den Heuvel |Vrije Universiteit Amsterdam
The detection of arrhythmias from wearable devices is still an open challenge, while the availability of screening tools for the large population would allow reduced complications and costs. We propose a model-based approach to the detection and classification of premature contractions into atrial and ventricular. The extracted signal morphology and the deviations from the expected stationarity are used to detect and classify premature contractions.
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Jun 27, 2023 |
frontiersin.org | Philips Research
Tsvetomira Tsoneva1, 2*, Gary N. Garcia-Molina3 and Peter Desain1 1Radboud University, Netherlands 2Philips Research (Netherlands), Netherlands 3University of Wisconsin-Madison, United States The final, formatted version of the article will be published soon.
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