Established in 2000 Starlab is an independent, private R&D SME. Starlab Barcelona develops innovative sensor concepts as well as software products and consulting services. The Neuroscience Business Unit has extensive experience in brain stimulation and electrophysiology, advanced data analysis, and basic/applied research for both institutional and industrial clients. Some of Starlab Neuroscience relevant areas of expertise include: · Disease Diagnosis Support and Treatment: Autism, ADHD, Parkinson’s Disease, Neurodegenerative Diseases, Sleep Disorders, Stroke · Algorithm and Model development: EEG signal processing, Artificial Intelligence, Machine learning, Data-mining, Big-Data, Biomarker evaluation, Multi-modal and Multi-sensory data fusion · Electroencephalography (EEG) and neuroimaging: Protocol design, experimental and clinical trials, biomarker discovery, real-time and off-line data analysis, visualization and reporting. · Brain-Computer Interfaces in disease and healthy subjects · Software development: End-to-end systems, application layer, and cloud-based data management and analysis. Starlab Neuroscience brings scientific rigor to the provision of neuroscience data analysis services to clinical and professional applications while leveraging medical grade hardware provided by our spin-off Neuroelectrics. Starlab Neuroscience capability is based on a unique combination of expertise in different stages of the data analysis pipeline from the signal acquisition through EEG signal processing to the final application of advanced machine learning techniques. Our methodological approach allows the evaluation and statistical validation of electrophysiological and neuroimaging biomarkers at subject individual level, which paves the path for its extensive application in clinical decision support systems for diagnosis, prognosis, and treatment monitoring. Our biomarker discovery techniques have been developed for both spontaneous and event-related EEG protocols. The integration of the analytical framework in cloud repositories allows a smooth clinical trial data management as well as the automate report generation for giving a clear insight of results to our clients.
Dr. Aureli Soria-Frisch completed his education with a 'Dr.-Ing.' degree (equivalent PhD) from the Technical University Berlin in 2005. Between 1996 and 2005 he worked at the Department for Security Technologies of the Fraunhofer IPK (Berlin), where he participated in several funded research and industrial projects as research scientist and project leader. After working for 3 years at the Universitat Pompeu Fabra and part time at Starlab, he joined the company with a full engagement in 2008. He is the Director of Neuroscience Business Unit since mid 2017, where he devotes his passion to make AI solve real-world problems in the health domain. His research interest is focused on the fields: data and multi-sensory fusion, computational intelligence for data analysis, and machine learning for electrophysiological signal analysis. He has authored 32 journal papers, 9 book chapters, and over 60 conference papers. He was Project Manager of the FP7 FET Open HIVE project, holder of 2 MJFF grants for the discovery of Machine Learning based Parkinsons’ biomarkers, and coordinator of the H2020 FET Open project LUMINOUS, which studied human consciousness and different related medical technologies.