A5053097681- Non-Invasive Vital Sign Monitoring
- Muscle activation and electromyography studies
- Context-Aware Activity Recognition Systems
- Human Mobility and Location-Based Analysis
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Voice and Speech Disorders
- Cardiovascular and exercise physiology
- Parkinson's Disease Mechanisms and Treatments
- Technology Use by Older Adults
- Vehicle Dynamics and Control Systems
- COVID-19 diagnosis using AI
- Indoor and Outdoor Localization Technologies
- Video Surveillance and Tracking Methods
Malmö University
2023-2024
Politecnico di Milano
2022-2023
As a result of technological advancements, functional capacity assessments, such as the 6-minute walk test, can be performed remotely, at home and in community. Current studies, however, tend to overlook crucial aspect data quality, often limiting their focus idealised scenarios. Challenging conditions may arise when performing test given risk collecting poor-quality GNSS signal, which undermine reliability results. This work shows impact applying filtering rules avoid noisy samples common...
Tracking a person’s activities is relevant in variety of contexts, from health and group-specific assessments, such as elderly care, to fitness tracking human–computer interaction. In clinical context, sensor-based activity could help monitor patients’ progress or deterioration during their hospitalization time. However, routine hospital devices face displacements position orientation caused by incorrect device application, physical peculiarities, day-to-day free movement. These aspects can...
Lung cancer diagnosis involves different screening exams concluding with a biopsy. Although it is among the most diagnosed, lung characterized by very high mortality rate caused its aggressive nature. Though swift identification essential, current procedure requires multiple physicians to visually inspect many images, leading lengthy analysis time. In this context, support radiologists and automate such repetitive processes, Deep Learning (DL) techniques have found their way as helpful...
Walking speed and distance are usually collected when performing clinical tests such as the 6-Minute Walk Test (6MWT). Wearable devices smartphones can help bring these to home environment. However, there difficulties in obtaining measures of indoors, where GPS cannot be relied on. Step counting is another even simpler form data collection that obtained through digital technologies. In this work, we investigate relationship between step count variable standardised Distance (6MWD) variable....