Inês Sousa

Inês Sousa

Head of Intelligent Systems

 

Fraunhofer AICOS
Rua Alfredo Allen 455/461
4200-135 Porto, Portugal

 

T. +351 220 430 300

E. info@fraunhofer.pt

 

Short CV

 

PhD in Biomedical Engineering from Técnico Lisboa – University of Lisbon, Inês Sousa has a demonstrated history of working in research of practical utility and in close contact with industry, in topics related to machine learning and inertial sensors data processing.

 

Relevant publications

 

Alves J., Silva J., Grifo E., Resende C., & Sousa I. (2019). Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location. Sensors, 28(19), pie: E2426. More info

Gomes D., & Sousa I. (2019). Real-Time Drink Trigger Detection in Free-Living Conditions Using Inertial Sensors. Sensors, 19(9):2145. More info

Pereira A., Folgado D., Nunes F., Almeida J., & Sousa I. (2019). Using Inertial Sensors to Evaluate Exercise Correctness in Electromyography-based Home Rehabilitation Systems. In Proceedings of MeMeA - IEEE International Symposium on Medical Measurements and Applications.

Pereira A., Folgado D., & Sousa I. (2019). Physiotherapy exercises monitoring using a combined approach based on sEMG and wearable inertial sensors. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS: 73-82.

Silva J., Gomes D., Nunes F., Moreira D., Alves J., Pereira A., & Sousa I. (2019). Position-independent Physical Activity Monitoring: Development and Comparison with Market Devices. In Proceedings of MeMeA - IEEE International Symposium on Medical Measurements and Applications: 5.

Martins A., Moreira J., Silva C., Silva J., Tonelo C., Baltazar D., Rocha C., Pereira T., & Sousa I. (2018). FallSensing, a multifactorial screening tool for fall-risk in community dwelling adults aged 50 years or over: Study protocol. In JMIR Research Protocols, (7)8. DOI: 10.2196/10304. More info

Silva J., Moreira D., Madureira J., Pereira E., Dias A., & Sousa I. (2018). FallSensing Clinical Tool: Technological Solution for Falls Prevention. In proceedings 13th Annual IEEE International Symposium on Medical Measurements and Applications, 8.

Silva J., Sousa I., & Cardoso J. (2018). Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls. In 40th International Engineering in Medicine and Biology Conference (EMBC).

Summers M., Rainero I., Vercelli A., Aumayr G., Rosario H., Sousa I., Vasconcelos M.J.M., Madureira P., & Cardoso N. (2018). The My Active and Healthy Aging (My-AHA) ICT platform to detect and prevent frailty in older adults: Randomized control trial design and protocol. In Alzheimer's and Dementia: Translational Research and Clinical Interventions, 4, 252-262.

Costa J., Sousa I., & Soares F. (2017). Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening. In HealthyIoT 2016: Internet of Things Technologies for HealthCare, 83-88. More info

Pereira A., Guimarães V., & Sousa I. (2017). Joint angles tracking for rehabilitation at home using inertial sensors: a feasibility study. In PervasiveHealth '17 - Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 146-154. More info

Carneiro S., Silva J., Madureira J., Moreira D., Guimarães V., Sousa I., & Santos A. (2016). Inertial Sensors for Assessment of Joint Angles. In PervasiveHealth.

Costa J., Sousa I., & Soares F. (2016). Smartphone-based Decision Support System for Elimination of Pathology-free Images in Diabetic Retinopathy Screening. In The 3rd EAI International Conference on IoT Technologies for HealthCare.

Martins A., Silva J., Santos A., Madureira J., Alcobia C., Ferreira L., Mendes P., Tonelo C., Silva C., Baltazar D., & Sousa I. (2016). Case-Based Study of Metrics Derived from Instrumented Fall Risk Assessment Tests. In 10th World Conference of Gerontechnology.

Silva J., Madureira J., Tonelo C., Baltazar D., Silva C., Martins A., Alcobia C., & Sousa I. (2016). Comparing Machine Learning Approaches for Fall Risk Assessment. In proceedings BIOSIGNALS 2017 - 10th International Conference on Bio-inspired Systems and Signal Processing.

Silva J., & Sousa I. (2016). Inertial Sensors-based Instrumented Timed Up and Go Tool for Fall Risk Assessment. In proceedings 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Silva J., & Sousa I. (2016). Instrumented timed up and go: Fall risk assessment based on inertial wearable sensors. In 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1-6. More info

Carneiro S., Silva J., Aguiar B., Rocha T., Sousa I., Montanha T., & Ribeiro J. (2015). Accelerometer-based methods for energy expenditure using the smartphone. In 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 151-156. More info

Ferreira C., Madureira J., & Sousa I. (2015). Protocol for Simulation of Falls in Watersports Activities. In proceedings Seventh International conference on Computational Intelligence, Communication Systems and Networks.

Santos A., Guimarães V., Matos N., Cevada J., Ferreira C., & Sousa I. (2015). Multi-sensor exercise-based interactive games for fall prevention and rehabilitation. In PervasiveHealth '15 - Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 65-71. More info

Silva J., Aguiar B., Rocha T., Sousa F. & Sousa I. (2015). Smartphone-based Fall Detection Algorithm and Validation. In 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM).

Silva J., Carneiro S., Aguiar B., Rocha T., & Sousa I. (2015). Energy Expenditure Estimation using the Accelerometer of the Smartphone. In 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM).

Sousa I., Silva, J. & Guimarães V. (2015). Fraunhofer AICOS 360º approach on technology for falls detection, risk assessment and prevention. More info

Aguiar B., Rocha T., Silva J., & Sousa I. (2014). Accelerometer-based fall detection for smartphones. In 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1-6. More info

Aguiar B., Silva J., Rocha T., Carneiro S., & Sousa I. (2014). Monitoring Physical Activity and Energy Expenditure with Smartphones. In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 664-667. More info

Ferreira C., Guimarães V., Santos A., & Sousa I. (2014). Gamification of stroke rehabilitation exercises using a smartphone. In PervasiveHealth '14 - Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, 282-285. More info

Guimarães V., Ribeiro D., Rosado L., & Sousa I. (2014). A Smartphone-Based Fall Risk Assessment Tool: Testing Ankle Flexibility, Gait and Voluntary Stepping. In proceedings IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1-6.

Madureira J., Lagido R., & Sousa I. (2014). Comparison of Number of Waves Surfed and Duration Using Global Positioning System and Inertial Sensors. In proceedings ICSST 2015, 415 - 419.