Projects per year
Organisation profile
Organisation profile
Head of research group: Johannes Jan Struijk
Who we are?
Members of the group are biomedical engineers with expertise in signal processing, mathematical modeling, biostatistics, electronics, machine learning, and electrophysiology.
Our research – what we do?
The CardioTech research group advances knowledge of the heart and the cardiovascular system and introduces new clinical solutions in cardiology, through technology-based and technology-directed research. Our main research areas are Electrocardiography, Vibro-acoustic cardiography, Echocardiography, wearable technologies and computational modeling, based on a uniquely equipped laboratory.
How does our research contribute to societal health challenges?
With cardiovascular disease still being a major cause of death, our efforts to introduce new methods for diagnostics, treatment and monitoring have a direct impact on the future development of cardiology. Through industrial collaboration and the establishment of start-up companies we have contributed to the introduction of novel technical solutions that are on the market today and we will continue to spin-out innovative ideas within cardio-technology.
Who are our key collaborators?
Our current research would not be possible without collaborations with various Cardiology Departments in Denmark and abroad. Moreover, our collaboration with industry has been an important drive for our research results.
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Collaborations from the last five years
Profiles
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Oliver Korup Damsgaard
- The Faculty of Medicine
- Department of Health Science and Technology
- CardioTech
- Department of Nephrology
Person: Associated to Aalborg UH, VIP
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Seismic Heart : Seismic Heart - Seismocardiographic Monitoring of Heart failure
Schmidt, S. E. (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. E. (CoI), Renna, F. (PI), Gaudio, A. (Project Participant) & Giordano, N. (Project Participant)
01/02/2022 → …
Project: Research
Research output
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Accelerometer-based estimation of respiratory rate using principal component analysis and autocorrelation
Hostrup, M. C. F., Nielsen, A. S., Sørensen, F. E., Kragballe, J. O., Østergaard, M. U., Korsgaard, E., Schmidt, S. E. & Karbing, D. S., 31 Mar 2025, In: Physiological Measurement. 46, 3, 035005.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile220 Downloads (Pure) -
Acoustic abdominal markers of placental insufficiency: Utilizing signal processing and artificial intelligence for analysing maternal vascular and fetal phonocardiographic signals
Plocharska, D. H. E., 2025, Aalborg University Open Publishing. 79 p.Research output: PhD thesis
Open AccessFile16 Downloads (Pure) -
A laboratory feasibility study using a computer algorithm for anastomosis segmentation of epicardial ultrasonography images from distal coronary artery bypass anastomoses
Jørgensen, A. S., Andersen, M. S., Østergaard, L. R., Schmidt, S. E., Nøhr, D. & Andreasen, J. J., Dec 2025, In: Journal of Cardiothoracic Surgery. 20, 1, p. 34 34.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile37 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.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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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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PTB-XL+, a comprehensive electrocardiographic feature dataset
Strodthoff, N. (Creator), Mehari, T. (Creator), Nagel, C. (Creator), Aston, P. J. (Creator), Sundar, A. (Creator), Graff, C. (Creator), Kanters, J. (Creator), Haverkamp, W. (Creator), Dössel, O. (Creator), Loewe, A. (Creator), Bär, M. (Creator) & Schaeffter, T. (Creator), PhysioNet, 27 Jun 2023
DOI: 10.13026/g6h6-7g88
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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2nd place Basic science E-poster - American Institute of Ultrasound in Medicine Convention 2018
Andersen, M. V. (Recipient), Mar 2018
Prize: Conference prizes
Activities
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University of Agder, Norway, visits AAU - Mathematics and PBL
Søndergaard, B. D. (Organizer), Rasmussen, M. G. (Organizer), Fajstrup, L. (Participant), Cornean, H. (Participant), Rauhe, J. C. M. (Participant) & Struijk, J. J. (Participant)
11 May 2022 → 12 May 2022Activity: Attending an event › Organisation or participation in workshops, courses, seminars, exhibitions or similar
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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
Press/Media
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Jubilæum: 25 år med sundhedsteknologi
Karbing, D. S., Schmidt, S. E. & Dremstrup, K.
30/09/2025
1 item of Media coverage
Press/Media: Press / Media
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Fra morgensang i Gunderup til rundvisning på SUND: Ugens oplevelser i Gistrup
17/11/2024
1 item of Media coverage
Press/Media: Press / Media
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Oplev SUND: Rundvisning og indsigt i sundhedsforskning på Aalborg Universitet
12/11/2024
1 item of Media coverage
Press/Media: Press / Media
Impacts
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AUTOENCODERS IN QUANTITATIVE SEISMOCARDIOGRAPHY
Schmidt, S. E. (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. E. (Participant)
Impact: Quality of life impact
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Invention for detecting skin vibrations improves patient care.
Schmidt, S. E. (Participant), Damsgaard, O. K. (Participant) & Christensen, J. H. (Participant)
Impact: Quality of life impact