Olli Lahdenoja
Dr. Sc. (Tech)
olanla@utu.fi Vesilinnantie 5 Turku Office: 454A ORCID identifier: 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)
- Bed sensor ballistocardiogram for non-invasive detection of atrial fibrillation: a comprehensive clinical study (2025)
- Physiological Measurement
(A1 Refereed original research article in a scientific journal) - Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit (2025)
- IEEE Journal of Biomedical and Health Informatics
(A1 Refereed original research article in a scientific journal) - Validation of an MEMS-Based Pressure Sensor System for Atrial Fibrillation Detection from Wrist and Finger (2025)
- IEEE Sensors Journal
(A1 Refereed original research article in a scientific journal) - Generating Synthetic Mechanocardiograms for Machine Learning Based Peak Detection (2024)
- IEEE Sensors Letters
(A1 Refereed original research article in a scientific journal) - Mechanocardiography detects improvement of systolic function caused by resynchronization pacing (2023)
- Physiological Measurement
(A1 Refereed original research article in a scientific journal) - Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups (2022)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Mechanocardiography-Based Measurement System Indicating Changes in Heart Failure Patients during Hospital Admission and Discharge (2022)
- Sensors
(A1 Refereed original research article in a scientific journal) - Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study (2022)
- Sensors
(A1 Refereed original research article in a scientific journal) - Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation (2022)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - CardioSignal Smartphone Application Detects Atrial Fibrillation in Heart Failure Population (2021)
- Circulation
(Other publication) - Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
(A1 Refereed original research article in a scientific journal) - Atrial Fibrillation Detection Using MEMS Accelerometer Based Bedsensor (2019)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Cardiac monitoring of dogs via smartphone mechanocardiography: a feasibility study (2019)
- BioMedical Engineering OnLine
(A1 Refereed original research article in a scientific journal) - Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
- IEEE Sensors Journal
(A1 Refereed original research article in a scientific journal) - Embedded processing methods for on-line visual analysis of laser welding (2019)
- Journal of Real-Time Image Processing
(A1 Refereed original research article in a scientific journal) - Head Pulsation Signal Analysis for 3-Axis Head-Worn Accelerometers (2019)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
- IEEE Sensors Journal
(A1 Refereed original research article in a scientific journal) - Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone (2018)
- IEEE Journal of Biomedical and Health Informatics
(A1 Refereed original research article in a scientific journal)