Olli Lahdenoja
Dr. Sc. (Tech)
olanla@utu.fi Vesilinnantie 5 Turku : 454A : https://orcid.org/0000-0003-2081-600X |
Biomedical Engineering; Computer Vision
Olli Lahdenoja received the M.Sc. and D.Sc. (Tech) degrees from the University of Turku, Finland, in 2003 and 2015, respectively, where he is currently a Senior Researcher in the Health Technology group, Department of Computing, Faculty of Technology. His research interests include biomedical signal processing, biomedical engineering and computer vision. He has also worked at several research projects related to a concrete implementation of embedded systems related to these areas. He has published several international peer-reviewed journal and conference articles. He is currently working part-time at Precordior Ltd.
Biomedical engineering:
- Seismocardiography (SCG)
- Gyrocardiography (GCG)
- Ballistocardiography (BCG)
- Electrocardiography (ECG)
- Clinical trials: atrial fibrillation (AF), heart failure (HF), coronary artery disease (CAD)
Computer vision:
- Local binary patterns (LBP)
- Face recognition
- Real-time machine vision (including industrial)
Dr. Sc. Thesis: "Local Binary Patterns in Focal-Plane Processing - Analysis and Applications" (2015)
Analog IC design / Mixed-Mode IC design (2005-2010)
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- Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
- Computing in Cardiology
- MOBILE PHONE DETECTION OF ATRIAL FIBRILLATION: THE MODE-AF STUDY (2018)
- Journal of the American College of Cardiology
- Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
- Circulation
- Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography (2018)
- Scientific Reports
- A Smartphone-only Solution for Detecting Indications of Acute Myocardial Infarction (2017) Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on Lähdenoja O, Koivisto T, Tadi MJ, Iftikhar Z, Hurnanen T, Vasankari T, Kiviniemi T, Airaksinen J, Pänkäälä M
- Automatic Identification of Signal Quality for Heart Beat Detection in Cardiac MEMS Signals (2017) 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Mojtaba Jafari Tadi, Olli Lahdenoja, Tero Humanen, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
- Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals (2017)
- Computing in Cardiology
- Wearable Pressure Sensor Array for Health Monitoring (2017)
- Computing in Cardiology
- An Adaptive Approach for Heartbeat Detection Based on S-transform in Seismocardiograms (2016) 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Mojtaba Jafari Tadi, Eero Lehtonen, Olli Lahdejoja, Mikko Pänkäälä, Tero Koivisto
- Detecting atrial fibrillation via existing smartphones without any add-ons (2016)
- European Heart Journal Supplements
- Detecting indications of acute myocardial infarction using smartphone only solution (2016) Tero Koivisto, Olli Lahdenoja, Tero Hurnanen, Mojtaba Jafari Tadi, Eero Lehtonen, Tuija Vasankari, Antti Saraste, Tuomas Kiviniemi, Juhani Airaksinen, Mikko Pänkäälä
- Detection of atrial fibrillation with seismocardiography (2016) 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Mikko Pänkäälä, Tero Koivisto, Olli Lahdenoja, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Juhani Airaksinen
- Heart rate variability estimation with joint accelerometer and gyroscope sensing (2016)
- Computing in Cardiology
- Depth sensors in augmented reality solutions. – Literature review (2015) Mika Taskinen, Olli Lahdenoja, Tero Säntti, Sami Jokela, Teijo Lehtonen
- HARDWARE ACCELARATED VISUAL TRACKING ALGORITHMS – A Systematic Literature Review (2015) Sirpa Korhonen, Leo Sakari, Tero Säntti, Olli Lahdenoja, Teijo Lehtonen
- Local Binary Patterns in Focal-Plane Processing - Analysis and Applications (2015) Lahdenoja Olli
- Online seam tracking for laser welding with a vision chip and FPGA enabled camera system (2015) Tero Säntti, Jonne K Poikonen, Olli Lahdenoja, Mika Laiho, Ari Paasio
- Recent Advances in Monocular Model-based Tracking - A Systematic Literature Review (2015)
- University of Turku Technical Reports
- Seam Tracking with Adaptive Image Capture for Fine-tuning of a High Power Laser Welding Process (2015)
- International Conference on Machine Vision
- Benefits Achieved by Applying Augmented Reality Technology in Marine Industry (2014) COMPIT '14 S. Helle, S. Korhonen, A. Euranto, M. Kaustinen, O. Lahdenoja, T. Lehtonen
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