01.10.2019 - 30.09.2021
The project is funded by European Social Fund (ESF).
The project is implemented by University of Eastern Finland.
Algorithmic data analysis research group develops new methods for data analysis and studies applications thereof.
HUMEA Laboratory, ECG signal analysis, EMG signal analysis, biomechanical motion analysis, ergo-spirometry, measurements for exercise medicine, robotics in neurological rehabilitation, motion analysis using wearable sensors, virtual reality in rehabilitation, driving simulator for measuring biosi...
Main research areas: Machine learning, data mining, pattern recognition.
Main topics: Clustering, intelligent location-aware systems, GPS track analysis, web mining, social networks, recommendation systems, speech technologoy, voice biometrics.
We make use of large-scale biomedical data, such as genetics, genomics, transcriptomics and biological knowledge bases, and data mining algorithms to build applications for biomedical research.
Applications and development of statistical methods mainly to forestry and environmental sciences and statistical machine learning e.g. in speaker verification.
Rapid advances in non-invasive neuroimaging methods have revolutionized the possibilities to study changes occurring in living brain across a variety of time-scales ranging from seconds to an entire life span. A large part of these advances can be attributed to the development of dedicated comput...
, School of Computing
We are an interdisciplinary, externally funded research team based at the School of Pharmacy, led by professor Anna-Maija Tolppanen. Our interest is in the efficient utilization of real-world data for different purposes, including effectiveness of treatments, aetiological epidemiology as well as ...