In this post, the scientific publications of Sensomatt PT2020 project with Project code | CENTER-01-0247-FEDER-070107 are published.
Articles in international magazines
Title: Human Parsing Based on Deep Learning for Analyzing the Body Pressure Distribution to Be Used in Pressure Ulcer Risk Management and Prediction
http://dx.doi.org/10.17758/EIRAI19.F0623113
Title: Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
http://dx.doi.org/10.3390/make5030053
Title: A Novel Elastic Sensor Sheet for Pressure Injury Monitoring: Design, Integration, and Performance Analysis
http://dx.doi.org/10.3390/electronics12173655
Title: PoPu-Data: A Multilayered, Simultaneously Collected Lying Position Dataset
http://dx.doi.org/10.3390/data8070120
Title: Integrated System for Pressure Ulcers Monitoring and Prevention
http://dx.doi.org/10.1007/978-3-031-26852-6_5
Title: A Review of Intelligent Sensor-Based Systems for Pressure Ulcer Prevention
https://doi.org/10.3390/computers11010006
Title: Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities
https://doi.org/10.3390/informatics8040076
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