Projects per year
Personal profile
Research profile
My research theme is smart diagnostics based on cardio acoustics and mechanics. The thought behind is that increased demand for health care will require more diagnostics at points of care, not only in specialized hospital departments. This requires easy-to-use sensors in combination with intelligent software to assist interpretation and presentation of the results.
Current technologies of interest includes Phonocardiography, Seismocardiography, Cardiac CT and Echocardiography.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Detection of coronary artery disease with an electronic stethoscope
2007 → 2011
Biomedical Engineering & Informatics, MSc
2000 → 2005
External positions
Co founder, Ausculto
2022 → …
Chief Scientific Officer, HeartView Medical
2018 → 31 Dec 2021
Chief Scientific Officer, VentriJect
2018 → …
Konsulent & Ejer, MSig consulting
2011 → …
Co-founder, Acarix
2009 → …
Keywords
- Biomedical Engineering
- Medicine
- Mathematics and Statistics
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Collaborations from the last five years
Dive into details by clicking on the dots.
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Seismic Heart : Seismic Heart - Seismocardiographic Monitoring of Heart failure
Schmidt, S. (PI), Søgaard, P. (CoI) & Lamberts, M. (CoI)
01/10/2023 → 30/09/2026
Project: Research
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Detection of Pulmonary Hypertension Using Deep Learning of Heart Sounds
Schmidt, S. (CoI), Renna, F. (PI), Gaudio, A. (Project Participant) & Giordano, N. (Project Participant)
01/02/2022 → …
Project: Research
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Research output
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AUTOENCODERS IN QUANTITATIVE SEISMOCARDIOGRAPHY
Schmidt, S. E. (Inventor), 18 Jan 2024, IPC No. A61B 5/ 11 A I, Patent No. WO2024013233, Priority date 13 Jul 2022, Priority No. EP20220184623Research output: Patent
Open Access -
Calcium Scoring Improves Clinical Management in Patients With Low Clinical Likelihood of Coronary Artery Disease
Brix, G. S., Rasmussen, L. D., Rohde, P. D., Schmidt, S. E., Nyegaard, M., Douglass, P. S., Newby, D. E., Williams, M. C., Foldyna, B., Knuuti, J., Bøttcher, M. & Winther, S., Jun 2024, In: JACC. Cardiovascular imaging. 17, 6, p. 625-639 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
7 Citations (Scopus) -
Clinical Likelihood Prediction of Hemodynamically Obstructive Coronary Artery Disease in Patients With Stable Chest Pain
Rasmussen, L. D., Karim, S. R., Westra, J., Nissen, L., Dahl, J. N., Brix, G. S., Knuuti, J., Schmidt, S. E., Holm, N. R., Christiansen, E. H., Eftekhari, A., Bøttcher, M. & Winther, S., Oct 2024, In: JACC. Cardiovascular imaging. 17, 10, p. 1199-1210 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
3 Citations (Scopus) -
Clinical risk prediction, coronary computed tomography angiography, and cardiovascular events in new-onset chest pain: the PROMISE and SCOT-HEART trials
Rasmussen, L. D., Schmidt, S. E., Knuuti, J., Vrints, C., Bøttcher, M., Foldyna, B., Williams, M. C., Newby, D. E., Douglas, P. S. & Winther, S., 25 Oct 2024, (E-pub ahead of print) In: European Heart Journal. 11 p., ehae742.Research output: Contribution to journal › Journal article › Research › peer-review
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DARE-ISC model for prediction of 1-year ischaemic stroke risk in the general population and atrial fibrillation patients: A Danish nationwide cohort study
Bruun-Jensen, M., Winther, S., Schmidt, S. E. & Møller Dahl, C., 16 May 2024, In: BMJ Open. 14, 5, e076640.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure)
Datasets
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Additional file 2 of Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease
Møller, P. L. (Creator), Rohde, P. D. (Creator), Dahl, J. N. (Creator), Rasmussen, L. D. (Creator), Nissen, L. (Creator), Schmidt, S. E. (Creator), McGilligan, V. (Creator), Gudbjartsson, D. F. (Creator), Stefansson, K. (Creator), Holm, H. (Creator), Bentzon, J. F. (Creator), Bøttcher, M. (Creator), Winther, S. (Creator) & Nyegaard, M. (Creator), Figshare, 15 Aug 2024
DOI: 10.6084/m9.figshare.25449091, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Predicting_the_presence_of_coronary_plaques_featuring_high-risk_characteristics_using_polygenic_risk_scores_and_targeted_proteomics_in_patients_with_suspected_coronary_artery_disease/25449091
Dataset
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Additional file 2 of Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease
Møller, P. L. (Creator), Rohde, P. D. (Creator), Dahl, J. N. (Creator), Rasmussen, L. D. (Creator), Nissen, L. (Creator), Schmidt, S. E. (Creator), McGilligan, V. (Creator), Gudbjartsson, D. F. (Creator), Stefansson, K. (Creator), Holm, H. (Creator), Bentzon, J. F. (Creator), Bøttcher, M. (Creator), Winther, S. (Creator) & Nyegaard, M. (Creator), Figshare, 15 Aug 2024
DOI: 10.6084/m9.figshare.25449091.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Predicting_the_presence_of_coronary_plaques_featuring_high-risk_characteristics_using_polygenic_risk_scores_and_targeted_proteomics_in_patients_with_suspected_coronary_artery_disease/25449091/1
Dataset
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Synthetic STATA test data for Exercise ECG weighted clinical likelihood
Schmidt, S. E. (Creator), VBN, 1 Feb 2023
DOI: 10.5278/90db0334-8ff0-4e2d-9d13-5af8b11d2701
Dataset
File -
Danish study of Radiomics
Schmidt, S. E. (Creator), Winther, S. (Creator) & Justesen, M. V. (Creator), Zenodo, 2023
DOI: 10.5281/zenodo.7599001, https://zenodo.org/record/7599001
Dataset
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Data for: Multichannel Seismocardiography: An Imaging Modality for Investigating Heart Vibrations
E. Schmidt, S. (Contributor), J. Struijk, J. (Contributor), Munck, K. (Creator) & Sørensen, K. (Contributor), Mendeley Data, 19 Aug 2020
DOI: 10.17632/scn464x7xd.3, https://data.mendeley.com/datasets/scn464x7xd
Dataset
Prizes
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Distinguished Innovator
Schmidt, S. E. (Recipient), 2023
Prize: Research, education and innovation prizes
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Annelise Rosenfalck prisen
Schmidt, S. E. (Recipient), 2022
Prize: Research, education and innovation prizes
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Acarix CADScore System
Schmidt, S. E. (Lecturer)
28 Aug 2018Activity: Talks and presentations › Conference presentations
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From Black Box to rule out CAD: What is ultrasensitive phonocardiographie?
Schmidt, S. E. (Lecturer)
6 Apr 2018Activity: Talks and presentations › Conference presentations
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High Frame Rate Cardiac Ultrasound: Hot or Stupid?
Andersen, M. V. (Lecturer), Schmidt, S. E. (Lecturer), Søgaard, P. (Lecturer), Moore, C. (Lecturer), Von Ramm, O. T. (Lecturer) & Kisslo, J. (Lecturer)
7 Feb 2018 → 10 Feb 2018Activity: Talks and presentations › Conference presentations
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Dansk Medicoteknisk Landsmøde : detektering af koronararterie sygdom med et digitalt stetoskop
Schmidt, S. (Speaker)
19 Sept 2007 → 20 Sept 2007Activity: Talks and presentations › Talks and presentations in private or public companies
Press/Media
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Nordjysk rugekasse holder medicinske opfindere i hånden
Schmidt, S. E., Christensen, J. H. & Damsgaard, O. T.
24/05/2024
1 item of Media coverage
Press/Media: Press / Media
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Modtager af Distinguished Innovator-bevilling satser på at udvikle bioaktivt middel til bekæmpelse af vektorbårne infektionssygdomme
12/02/2024
1 item of Media coverage
Press/Media: Press / Media
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Syv forskere modtager millionbevillinger fra Novo Nordisk Fonden
16/08/2023
1 item of Media coverage
Press/Media: Press / Media
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Syv nye Distinguished Innovators er udpeget, deriblandt tre med fokus på bæredygtighed
07/08/2023
1 item of Media coverage
Press/Media: Press / Media
Impacts
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AUTOENCODERS IN QUANTITATIVE SEISMOCARDIOGRAPHY
Schmidt, S. (Participant)
Impact: Quality of life impact
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EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPERTENSION FROM HEART SOUNDS
Gaudio, A. (Participant), Renna, F. (Participant) & Schmidt, S. (Participant)
Impact: Quality of life impact
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Invention for detecting skin vibrations improves patient care.
Schmidt, S. (Participant), Damsgaard, O. K. (Participant) & (Participant)
Impact: Quality of life impact