Embedded Sensor Systems for Health

Project TitleStatus
Brain technology in stroke rehabilitation – increasing motor recovery active
GreenDL: Green Deep Learning for Edge Devices active
GREENER: Intelligent energy management in connected construction sites active
Identifying key variables in monitoring of production processes in automotive industry: A deep learning method active
MALPA:Machine Learning for the prevention of occupational accidents in the construction industry active
Morphological Computing in Cognitive Systems active
RECOG: Closed-loop neurofeedback innovation for cognitive rehabilitation active
Self-supervised learning for predictive maintenance active
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living) finished
CogTrack: Real-Time Cognitive Tracking as an Approach to Identify Substance Abuse finished
Continuous monitoring of COPD patients finished
ecare@home finished
Embedded Sensor Systems for Health Plus finished
Energy-Efficient Hardware Accelerator for Embedded Deep Learning finished
ESS-H - Embedded Sensor Systems for Health Research Profile finished
FlexiHealth: flexible softwarized networks for digital healthcare finished
Health5G: Future eHealth powered by 5G finished
Improving Accuracy of the Cardiac Stress Test by Applying Advanced Signal Processing Methods to an Embedded Sensor Setting finished
Investigation of needs and requirements related to monitoring of physical activity in daily life: A qualitative study of older adults' experiences from using activity bracelets finished
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems finished
Kompetensnav Inbyggda Sensorsystem för hälsa / Competence hub Embedded Sensor Systems for Health finished
Mätning av näringsstatus och förebyggande av undernäring genom integrering av hälsoteknik i äldrevården finished
NovaMedTech II finished
SafeDriver: A Real Time Driver's State Monitoring and Prediction System finished
SALUTOGEN - Seniors’ Activity and quality of Life sUpported by Technology thrOugh deliGht, Engagement and iNterest finished
STARK - Skattning Tidigt av fysisk förmåga för Alla och Riktat stöd ger Kunskap och minskad fallrisk senare i livet finished
Systematiska översikter av hälso- och välfärdsteknik med bred implementering finished
Technology support for health promotive behavioural change finished
VeriDevOps - Automated Protection and Prevention to Meet Security Requirements in DevOps Environments finished

[Show all publications]

Evolution of an Automotive Modelling Language for Enhanced Support of Diverse Network Interface Controllers (Feb 2024)
Alessio Bucaioni, Saad Mubeen
International Conference on Artificial Intelligence, Control, Data Sciences and Applications 2024 (ACDSA 2024)

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks (Jan 2024)
Mohammad Ahmadilivani , Mahdi Taheri , Jaan Raik , Masoud Daneshtalab, Maksim Jenihhin
ACM Computing Surveys (CSUR)

GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem (Dec 2023)
Mirgita Frasheri , Branko Miloradovic, Lukas Esterle , Alessandro Papadopoulos
IEEE Symposium Series on Computational Intelligence (SSCI 2023)

Toward digital inclusion of older adults in e-health (Oct 2023)
Åsa Revenäs , Lars Ström , Antonio Cicchetti, Maria Ehn
Universal Access in the Information Society (UAIS)

Supporting End-to-end Data Propagation Delay Analysis for TSN-based Distributed Vehicular Embedded Systems (Aug 2023)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
Journal of Systems Architecture, 2023 (JSA)

Impact of Key Scrum Role Locations in Student Distributed Software Development Projects (Aug 2023)
Igor Cavrak , Alessio Bucaioni, Raffaela Mirandola
35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023)

Maria Lindén, Professor

Email: maria.linden@mdh.se
Room: U1-139
Phone: +46-21-101548