معرفی
Antti Vehkaoja is a Professor in Biomedical Technology at Tampere University. He holds a Doctor of Science (Technology) in Automation Engineering (2015) and a Master of Science in Electrical Engineering (2004). His research focuses on physiological monitoring methods, wearable sensor systems, and biomedical signal processing. He has led projects on photoplethysmography, differential mobility spectrometry, and gait analysis. Key contributions include novel methodologies for early detection of medical conditions like abdominal aortic aneurysm and Parkinson’s disease. He served as a Docent in Measurement Methods for Physiological Monitoring at TUT-BMT (2017–2022).
His work spans 161 research outputs across journals/conferences, emphasizing interdisciplinary applications such as animal behavior analysis via biologgers and real-time surgical tissue classification. He received the Northern Europe NI Engineering Impact Award (2016) for contributions to biomedical engineering. Vehkaoja actively reviews for top journals like IEEE Transactions on Biomedical Engineering and collaborates internationally. His datasets, such as the Bio-logger Ethogram Benchmark and Movement Sensor Dataset for Dog Behavior Classification, are widely used in computational biology and veterinary medicine.
His research aligns with UN SDGs related to health and innovation. Current projects explore thermal simulation in vascular medicine, non-invasive blood pressure monitoring, and digital healthcare platforms for chronic disease management.
