Robust algorithms for biosignal analysis in real-life environment
We provide solutions by extracting information from physical data measured at home, in hospitals, or on the move.
have made possible the acquisition, processing, and storage of huge amounts of
biological and medical data – inside hospitals, at home, or on the move. For
example, a large number of different signals are acquired during surgery or
critical care in hospitals. Modern hospitals produce dozens of terabytes of
image data every year. Wearable biomedical sensors and systems provide health-
and wellness-related data. Interpretation of this data requires a deep
understanding of measurement technologies, physiology and human behaviour, and healthcare
settings in addition to signal processing and interpretation methods.
Real-life environments place
strong requirements on algorithms, for example with respect to robustness,
fail-safety, real-time output, and patient safety. At the same time, there are
challenges for signal processing that are unique to the domain of physiological
data analysis: intra- and inter-individual differences, atypical data e.g.
when dealing with patients in a hospital, or people working under high stress,
lack of gold standards to verify outcome.
At VTT we have more than
20 years’ experience in developing algorithms for real-life physiological data
analysis. Our key partners include global main players in the field of patient
monitoring, home care, and daily living monitoring. We have long-term trusted
relationships with international hospitals and other healthcare providers as
well as top-level academic institutions.. Apart from direct customer work, we
also work in EU projects in this area. Recent examples include TBIcare, DiPAR www.dipar.net and Heartcycle.