Intelligent Techniques for Automatic Diagnosis of Medical Images

Course holder: Conf. dr. eng. Alina SULTANATaboratory holder: Conf. dr. eng. Alina SULTANA The course has two major objectives:- to present a structured presentation of the main types of imaging methods available in literature: Radiography, Tomography, Nuclear Magnetic Resonance, Ultrasound and Nuclear Medicine;- to develop applications and implement solutions for computer-aided diagnosis using advanced Computer Vision techniques and networks [...]

Intelligent Systems for Rehabilitation and Therapy

Course holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂLaboratory holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂ The discipline aims to familiarize students with applications that integrate new technologies in the process of therapy and rehabilitation: intelligent systems for the rehabilitation of cardiac function, intelligent systems for the rehabilitation of motor function, intelligent systems in the rehabilitation of hearing function, intelligent systems for the rehabilitation of respiratory function.

Biodesign - Innovation in Medical Technologies

Course holder: Ș.l. dr. eng. Elena OVREIUTaboratory holder: Ș.l. dr. eng. Elena OVREIU The course will address innovation in digital health.Innovation is a process that can be learned, practiced and perfected. The course will familiarize students with the principles of innovation in health and the steps of this innovation process that starts from a need, continues with the analysis of that need (impact on [...]

mHealth - Mobile Applications in Biomedical Engineering

Course holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂLaboratory holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂ The discipline aims to present in detail the mobile devices (smart wearable sensors, mobile acquisition systems, mobile terminals) that are used in various medical applications: remote rehabilitation, (remote) monitoring of vital parameters, remote diagnosis, internet of things in health, monitoring compliance with a drug treatment, etc. [...]

E-Health

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 [...]

Blockchain and Big Data in Medical Applications

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 [...]

Artificial Intelligence and Automatic Learning in Biomedical Systems

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 [...]

Information Processing in Brain-Machine Interfaces

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 [...]

Advanced Methods for Biomedical Signal Processing

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 [...]

Virtual Instrumentation in Biomedical Engineering

Course holder: Conf. dr. eng. Daniel OANCEA Laboratory holder: Conf. dr. eng. Daniel OANCEA The discipline aims to present specific issues related to virtual instrumentation systems and intelligent environmental systems. The students get acquainted with the structure of a virtual instrumentation system, the particularities of intelligent environmental systems, the graphical programming language LabVIEW, the particularities of the hardware, communication standards and software used in such [...]