Predicting neuropathic pain episodes in spinal cord injury patients through portable EEG and machine learning

Project description

Personalised digital health technology for the prediction of neuropathic pain

Fields of science

• natural sciences › biological sciences › neurobiology
• medical and health sciences › basic medicine › pharmacology and pharmacy › pharmaceutical drugs
• medical and health sciences › basic medicine › pathology
• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › mobile phones
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2020 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2020

See other projects for this call

Funding Scheme

MSCA-IF-EF-CAR - CAR – Career Restart panel

Coordinator

MALMO UNIVERSITET

Net EU contribution

€ 203 852,16

Address

Nordenskioldsgatan 1
205 06 Malmoe
Sweden

Region

Södra Sverige › Sydsverige › Skåne län

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00