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A patient-centered early risk prediction, prevention, and intervention platform to support the continuum of care in coronary artery disease (CAD) using eHealth and artificial intelligence

Risultati finali

Living Lab findings

the findings of TIMELY Living Lab which will be an open innovation ecosystem based on a systematic user co-creation approach

Pubblicazioni

Predicting the death caused by cardiovascular and/or cerebrovascular disease within 7 years follow-up using machine learning models

Autori: K Tsarapatsani, A I Sakellarios, V Tsakanikas, W Marz, H J Trampisch, H Rudolf, D I Fotiadis
Pubblicato in: European Heart Journal, Numero Volume 44, Numero Supplement_2, 2023, ISSN 1522-9645
Editore: European Society of Cardiology
DOI: 10.1093/eurheartj/ehad655.2429

High genetic risk for depression as an independent risk factor for mortality in patients referred for coronary angiography

Autori: Robert M, Krämer; Angela P, Moissl; Stefan, Lorkowski; Bernhard K, Krämer; Terho, Lehtimäki; Binisha H, Mishra; Pashupati P, Mishra; Jan, Leipe; Winfried, März; Marcus E, Kleber; Bertram, Müller-Myhsok; Graciela E, Delgado
Pubblicato in: Frontiers in Cardiovascular Medicine, Numero Vol. 10, 2023, ISSN 2297-055X
Editore: Frontiers Media SA
DOI: 10.3389/fcvm.2023.1125151

Altered Tissue Oxygenation in Patients with Post COVID-19 Syndrome

Autori: Hendrik, Schäfer; Marc, Teschler; Frank C, Mooren; Boris, Schmitz
Pubblicato in: Microvascular Research, Numero Vol. 148, 2023, ISSN 0026-2862
Editore: Academic Press

Platelet Reactivity and Cardiovascular Mortality Risk in the LURIC Study

Autori: Martin Berger; Alexander Dressel; Marcus E. Kleber; Winfried März; Peter Hellstern; Nikolaus Marx; Katharina Schütt
Pubblicato in: Journal of Clinical Medicine, Numero Vol. 12, Numero 5, 2023, Pagina/e 1913, ISSN 2077-0383
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm12051913

Improving accessibility of scientific research by artificial intelligence—An example for lay abstract generation

Autori: Boris Schmitz
Pubblicato in: Digital Health, Numero 9, 2023, ISSN 2055-2076
Editore: Sage Publications Ltd
DOI: 10.1177/20552076231186245

A single session of EMS training induces long-lasting changes in circulating muscle but not cardiovascular miRNA levels: a randomized crossover study

Autori: Sinje Biss; Marc Teschler; Melina Heimer; Thomas Thum; Christian Bär; Frank C. Mooren; Boris Schmitz
Pubblicato in: Journal of Applied Physiology, Numero Vol 134, Numero 4, 2023, Pagina/e 799-809, ISSN 1522-1601
Editore: Americal Physiological Society
DOI: 10.1152/japplphysiol.00557.2022

eHealth for maintenance cardiovascular rehabilitation: a systematic review and meta-analysis

Autori: Melina Heimer, Sandra Schmitz, Marc Teschler, Hendrik Schäfer, Emma R Douma, Mirela Habibovic, Willem J Kop, Thorsten Meyer, Frank C Mooren, Boris Schmitz
Pubblicato in: European Journal of Preventive Cardiology, Numero Volume 30, Numero 15, 2023, Pagina/e 1634–1651, ISSN 2047-4881
Editore: ESC
DOI: 10.1093/eurjpc/zwad145

Autonomic dysregulation in long-term patients suffering from Post-COVID-19 Syndrome assessed by heart rate variability

Autori: Frank C. Mooren, Irina Böckelmann, Melina Waranski, Mona Kotewitsch, Marc Teschler, Hendrik Schäfer & Boris Schmitz
Pubblicato in: Scientific Reports, Numero 13, 2023, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-42615-y

Corrigendum: Health benefits of probiotics in sport and exercise—Non-existent or a matter of heterogeneity? A systematic review

Autori: Melina Heimer, Marc Teschler, Boris Schmitz, Frank C. Mooren
Pubblicato in: Frontiers in Nutrition, 2022, ISSN 2296-861X
Editore: Frontiers Media SA
DOI: 10.3389/fnut.2022.1051918

Health Benefits of Probiotics in Sport and Exercise - Non-existent or a Matter of Heterogeneity? A Systematic Review

Autori: Melina Heimer; Marc Teschler; Boris Schmitz; Frank C. Mooren
Pubblicato in: Frontires in Nutrition, Numero Vol. 9, 2022, ISSN 2296-861X
Editore: Frontiers Media SA
DOI: 10.3389/fnut.2022.804046

Camera-based assessment of cutaneous perfusion strength in a clinical setting

Autori: Alexander Hammer; Matthieu Scherpf; Martin Schmidt; Hannes Ernst; Hagen Malberg; Klaus Matschke; Adrian Dragu; Judy Martin; Olimpiu Bota
Pubblicato in: Physiological Measurement, Numero Vol. 43, Nr. 2, 2022, ISSN 0967-3334
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6579/ac557d

Medical Rehabilitation of Patients with Post-COVID-19 Syndrome—A Comparison of Aerobic Interval and Continuous Training

Autori: Johanna M. Mooren, René Garbsch, Hendrik Schäfer, Mona Kotewitsch, Melina Waranski, Marc Teschler, Boris Schmitz, Frank C. Mooren
Pubblicato in: Journal of Clinical Medicine, Numero Vol.12, Numero 21, 2023, ISSN 2077-0383
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm12216739

Non-coding RNAs in exercise immunology: A systematic review

Autori: Mona, Kotewitsch; Melina, Heimer; Boris, Schmitz; Frank C, Mooren
Pubblicato in: Journal of Sport and Health Science, 2023, ISSN 2095-2546
Editore: Elsevier BV
DOI: 10.1016/j.jshs.2023.11.001

A living lab approach to define patients needs and expectations for eHealth-based cardiac rehabilitation in Germany and Spain: the TIMELY study

Autori: B Schmitz, S Wirtz, M Sestayo-Fernandez, H Schaefer, E R Douma, M Alonso, V Gonzalez-Salvado, M Habibovic, W J Kop, C Pena-Gil, F C Mooren
Pubblicato in: European Journal of Preventive Cardiology, Numero Volume 30, Numero Supplement_1, June 2023, 2023, ISSN 2047-4881
Editore: European Society of Cardiology
DOI: 10.1093/eurjpc/zwad125.088

Machine Learning Models for Cardiovascular Disease Events Prediction

Autori: Konstantina, Tsarapatsani; Antonis I, Sakellarios; Vasileios C, Pezoulas; Vassilis D, Tsakanikas; Marcus E, Kleber; Winfried, Marz; Lampros K, Michalis; Dimitrios I, Fotiadis
Pubblicato in: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Pagina/e 1066-1069
Editore: IEEE
DOI: 10.1109/embc48229.2022.9871121

Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression

Autori: Konstantina-Helen Tsarapatsani; Antonis Sakellarios; Vasileios C. Pezoulas; Vasilis D. Tsakanikas; George K. Matsopoulos; Winfried Marz; Marcus Kleber; Dimitrios I. Fotiadis
Pubblicato in: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022
Editore: IEEE
DOI: 10.1109/bhi56158.2022.9926803

Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction

Autori: Alexander Hammer; Matthieu Scherpf; Hannes Ernst; Jonas Weiss; Daniel Schwensow; Martin Schmidt
Pubblicato in: 2021 Computing in Cardiology (CinC), Numero Vol. 48, 2021, ISSN 2325-887X
Editore: IEEE
DOI: 10.23919/cinc53138.2021.9662797

Towards the Prediction of Atrial Fibrillation Using Interpretable ECG Features

Autori: Alexander Hammer; Hagen Malberg; Martin Schmidt
Pubblicato in: 2022 Computing in Cardiology (CinC), 2022, ISSN 2325-887X
Editore: IEEE
DOI: 10.22489/cinc.2022.236

Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up

Autori: Konstantina Tsarapatsani, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Hans J. Trampisch, Henrik Rudolf, Nikolaos Tachos, Marcus E. Kleber, Winfried März, and Dimitrios I. Fotiadis
Pubblicato in: 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
Editore: IEEE
DOI: 10.1109/embc40787.2023.10340447

Cardiovascular Reflections of Sympathovagal Imbalance Precede the Onset of Atrial Fibrillation

Autori: Alexander Hammer; Hagen Malberg; Martin Schmidt
Pubblicato in: 2023 Computing in Cardiology (CinC), 2023
Editore: IEEE
DOI: 10.22489/cinc.2023.399

Automatic Detection of Acute Mental Stress With Camera-based Photoplethysmography

Autori: Hannes Ernst; Hagen Malberg; Martin Schmidt
Pubblicato in: 2023 Computing in Cardiology (CinC), 2023
Editore: IEEE
DOI: 10.22489/cinc.2023.034

GROOViST: A Metric for Grounding Objects in Visual Storytellin

Autori: Aditya Surikuchi, Sandro Pezzelle, Raquel Fernández
Pubblicato in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.202

Virtual Support for Real-World Movement: Using Chatbots to Overcome Barriers to Physical Activity

Autori: Xin Sun, Dimosthenis Casula, Arathy Navaratnam, Anna Popp, Franziska Knopp, Giovanni Busini, Jan Wesołowski, Marie Van Reeth, Elke Reich, Reinout Wiers, Jos A. Bosch
Pubblicato in: HHAI 2023: Augmenting Human Intellect, 2023, Pagina/e 201 - 214
Editore: IOS Press
DOI: 10.3233/faia230084

Defining patients needs and expectations for eHealth-based cardiac rehabilitation in Germany and Spain: living lab data from the TIMELY study

Autori: B Schmitz, S Wirtz, M Sestayo-Fernandez, H Schaefer, E R Douma, M Alonso, V Gonzalez-Salvado, M Habibovic, W J Kop, C Pena-Gil, F C Mooren
Pubblicato in: European Heart Journal, Numero Volume 43, Numero Supplement_2, 2022, ISSN 1522-9645
Editore: European Society of Cardioloty
DOI: 10.1093/eurheartj/ehac544.2828

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