Course holder: Ș.l. dr. eng. Elena OVREIUTaboratory holder: Ș.l. dr. eng. Elena OVREIU The course will be structured as follows:- Lecture: technical part (wearables and sensors for remote and continuous patient monitoring, medical data collection, mobile apps for health, mobile apps for personalized medicine, prevention)- Use cases (hands-on & panel discussions) held with experts from the industry [...]
Course holder: Conf. dr. eng. Bogdan Cristian FLOREATaboratory holder: Conf. dr. eng. Bogdan Cristian FLOREA The course addresses the concept of Big Data in medical applications (e.g. electronic patient records, medical data transfer in telemedicine systems etc., medical databases for clinical trials), supported by blockchain technology currently used for the development of distributed applications. In the lab [...]
Course holder: prof. dr. eng. Bogdan IONESCUTaboratory holder: Prof. dr. eng. Bogdan IONESCU The course aims to familiarize students with the concept of machine learning applied to biomedical problems. General introduction of the concept and existing paradigms, concrete medical applications and available software utilities. Explanation of processing techniques and representation of input data, related content descriptors, normalization [...]
Course holder: prof. dr. eng. Mihaela NEAGUTaboratory holder: Prof. dr. eng. Mihaela NEAGU The course ensures the acquisition of advanced knowledge of coding, transmission, processing and storage of information in the nervous system and the assimilation of knowledge on the use of this information for the development of efficient brain-machine interfaces, with concrete applications in intelligent prosthetics and in the realization of brain-computer interfaces. Through laboratory activities benefiting [...]
Course holder: prof. dr. eng. Mihaela NEAGUTaboratory holder: Prof. dr. eng. Mihaela NEAGU The course aims to acquire advanced knowledge of signal processing: spectral analysis, adaptive filtering, time-frequency transforms, chaos theory, PCA and ICA analysis, multivariate analysis. The approach provides students with the ability to subsequently tackle any one-dimensional and multidimensional signal processing problem, and the ability to develop their [...]