Digital health
Since the start of the 2018 academic year, TELECOM Nancy and the Master of Health Engineering (MIS) of the Faculty of Medicine of Nancy have set up a Master2 course dedicated to innovation in “Digital Health and Medical Imaging”.
This dual competence course in e-health has been labeled by the Lorraine University of Excellence initiative.
(1) L. Batista, M. Milhem, T. Bastogne, F. Clanché, G. Personeni, J.-P. Jehl, and G. Gauchard, “A data-driven classification solution for the timed-up and go test in risk falling assessment. ” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, July 2020. Poster.
within the framework of the living Lab PROMETEE TELECOM Nancy / Institut Mines-Télécom.
This joint educational program constitutes an innovative training offer in the field of Engineering of / for Health, within the University of Lorraine and the Grand Est region. This course is based on an approach of inductive pedagogy by project in which the students are placed as actors of their training.
- The keystone of the course is indeed based on a long innovation project (5 months, 2-3 days / week) to develop an innovation in the digital health sector in an industrial collaborative framework. To this is added a set of lessons to initiate and consolidate the knowledge and skills acquired within the framework of the project. Here is a panel of projects likely to be proposed for the year 2020-2021:
- Automatic recognition and intelligent editing of surgical videos
- Classification of sleep phases from ECG signals measured from chest belts
- Risk monitoring platform Patients in clinical studies
- e-Monitoring of transfused patients: oximetry and arterial pressure
- Compression of stacks of radiological images embedded in a medical video stream
- Immersion in the world of start-ups . These projects will be carried out in collaboration with regional start-ups and in particular: Deep River, CYBERnano, NOVIGA, SYSARK, CareMoSim, ALARA.
- R & d training à la carte and by practice . The students benefit from a technological platform equipped with a panel of connected sensors for the measurement of cardiac signals, inertial units, blood pressure monitors, oximeters but also an internet server made available to them to carry out their projects.
The objective of this cooperation is to offer engineering students from TELECOM Nancy (in-depth Artificial Intelligence and Data Bodies – IAMD) and students from MIS (Biomedical Engineering Course – IB) a specialization in processing and analysis of digital data and images in the context of medical and e-Health applications , drawing on the strengths of each existing initial course and their complementarities.
The students of TELECOM Nancy, registered in this course, obtain in addition to the engineering diploma of the school, the diploma of the Master IS.
The content of the Digital Health and Medical Imaging course is as follows:
The teaching schedule is organized as follows:
- specific teaching units (TELECOM / Fac. Medicine) and TELECOM Nancy grouped together at the start of the week;
- common units grouped together on Thursday;
- an innovation project spread over free slots (2-3 days / week) for 5 months to establish the proof of feasibility of its innovation that it will have to present and validate with a jury. This project could be the subject of a submission to a scientific congress to validate the work and enhance the activity of the students through a first scientific reference.
- 2 weeks blocked:
- digital health week (TN 3A);
- week of innovations in imagery and techno. medical (UE Common Core);
- an internship in the health sector.
The objective of the Digital Health and Medical Imaging course is to train multidisciplinary specialists at the intersection of digital and health.
These specialists will have to know and understand the problems and constraints of health professionals in order to be able to be the interface between them and digital information sources. By mastering the latest generations of algorithmic tools and new digital offers, they will be able to offer them service or technological solutions adapted to their needs.
In particular, students of the Digital Health and Medical Imaging course will be able to respond to new issues related to the processing of big data in the health sector in order to transform this data into information . This information will allow health actors (doctors, biologists, pharmacists, etc.) to make diagnoses and treatments more quickly and precisely, to develop new drugs, to better understand cells and viruses, etc. These needs are growing, particularly in the fields of telemedicine, outpatient treatment, cardiology, and respiratory diseases associated with sleep or the nervous system.
Keywords :
Connected objects for health; mobility, mass transfer of data; data security and integrity; storage ; visualization; statistical processing of data; image processing; sensor networks; on-board processing; SaaS software and platforms; bioinformatics, …
developed by TELECOM Nancy students as part of a project with the Lorraine Virtual Hospital.
as part of the living Lab PROMETEE and the European project E3 (E-health services Everywhere and for Everybody).
The professions for which this double-degree prepares:
- Engineer-researcher-entrepreneur
- Inventor
- Startup
- CSO / Scientific Director
- R&D engineer
- Director of innovation
- Research engineer
- Continuation of a thesis in an academic laboratory (fundamental research) or in a company (CIFRE industrial thesis)
- Researcher in the public or private sector
- Teacher-researcher
Target companies in the bio-medical sector:
- Start-up (ex .: Cybernano, Deep River, SYSARK, NOVIGA, CareMoSim, Axilium Robotics, Bionext, Cardiorenal, Predimed, etc.)
- PME (e.g .: ALARA, SEFAM, Schiller medical, Transgene, BASF, Cardiabase)
- Large group (e.g .: Thalès, Air Liquide, Laboratoire Sanofi, Bruker, Lilly, Merck)
- Hospitals, clinics