DC12: Wearable sensors for health monitoring and assistive communication
Project: Wearable sensors for health monitoring and assistive communication (WP4)
Host institution: PLUX (Portugal)
Supervisor: H. Silva
Co-supervisor(s):H. Gamboa (FCT NOVA – Portugal), M. Bolliger (UZH – Switzerland)
Objectives:
To develop and evaluate wearable sensors that utilize biosignals for assistive communication and health monitoring, with the aim of enhancing autonomy and improving disease management for individuals with mobility limitations. These sensors will provide real-time data to facilitate better decision-making and personalized care, ultimately improving the users’ quality of life
Expected Results:
Identify a facial EMG-based wheelchair control prototype and develop novel EMG metrics for evaluating disease progression.
Planned secondment(s):
- NOVA FCT (3 months, M13-M15): Biosignal optimisation for estimation of intentional commands, with H. Gamboa (KPI: joint conference paper)
- BAL (3 months, M39-M41): Creation and evaluation of three novel disease progression metrics under real-world conditions, providing valuable insights into the progression of degenerative diseases, with M. Bolliger. (KPI: joint journal paper)
Enrolment in Doctoral degree: Doctoral School of FCT NOVA (Portugal)
Required profile: Electronics engineering, Biomedical engineering, or a related field. A solid understanding of electronics circuit design and biosignal processing.
Desirable skills/interests: Experience with analogue/digital electronics design, signal conditioning and acquisition circuits design, circuit simulation in SPICE, PCB CAD Design, statistical analysis, and programming languages such as Python, MATLAB is required. Machine learning algorithms for biosignal analysis.