Embedded Sensor Systems for Health

Project TitleStatus
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living) active
CogTrack: Real-Time Cognitive Tracking as an Approach to Identify Substance Abuse active
Continuous monitoring of COPD patients active
ecare@home active
ESS-H - Embedded Sensor Systems for Health Research Profile active
Improving Accuracy of the Cardiac Stress Test by Applying Advanced Signal Processing Methods to an Embedded Sensor Setting active
INVIP: Indoor Navigation for Visual Impairment Persons using Computer Vision and Machine learning active
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems active
Kompetensnav Inbyggda Sensorsystem för hälsa / Competence hub Embedded Sensor Systems for Health active
Morphological Computing in Cognitive Systems active
SafeDriver: A Real Time Driver's State Monitoring and Prediction System active
SALUTOGEN - Seniors’ Activity and quality of Life sUpported by Technology thrOugh deliGht, Engagement and iNterest active
SimuSafe : Simulator of Behavioural Aspects for Safer Transport active
HR R-peak detection quality index analysis 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
Mätning av näringsstatus och förebyggande av undernäring genom integrering av hälsoteknik i äldrevården finished
NovaMedTech II finished
Technology support for health promotive behavioural change finished
Third Eye: An Intelligent Assisting Aid for Older Individuals with a Recently Acquired Visual Impairment finished

[Show all publications]

Quality Index Analysis on Camera-based R-peak Identification Considering Movements and Light Illumination (Jun 2018)
Mobyen Uddin Ahmed, Hamidur Rahman, Shahina Begum
15th International Conference on Wearable, Micro & Nano technologies for Personalized Health (pHealth2018)

Electromyography signal analysis: Electrocardiogram artifact removal and classifying hand movements (Jun 2018)
Sara Abbaspour, Maria Lindén
World Congress on Medical Physics and Biomedical Engineering (IUPESM)

Adaptive Runtime Response Time Control in PLC-based Real-Time Systems using Reinforcement Learning (May 2018)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper
13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 18)

Learning-based Response Time Analysis in Real-Time Embedded Systems: A Simulation-based Approach (May 2018)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper
1st International Workshop on Software Qualities and their Dependencies, located at the International Conference of Software Engineering (ICSE) 2018 (SQUADE'18)

Learning-Based Self-Adaptive Assurance of Timing Properties in a Real-Time Embedded System (Apr 2018)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper
ICST Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'18)

Internet of Things (IoT) Technologies for HealthCare (Mar 2018)
Mobyen Uddin Ahmed, Shahina Begum, Jean-Baptiste Bastel
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)

Maria Lindén, Professor

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