Dissertation topics suggested by the teacher.
Project code 2022-TMBE-1
Title: Automatic pain assessment with wearable sensors on multiple sclerosis patients undergoing neurorehabilitation
Abstract: the purpose of the PAINLESS study (PAIn in Neurorehabilitation using wearabLE SensorS) is to develop an automatic method to objectively assess pain in patients with multiple sclerosis undergoing neurorehabilitation. To reach this goal, patients are monitored for 48h with a wearable medical device recording some physiological signals and simultaneously with self-report questionnaires by using a smartphone. Artificial intelligence algorithms will be trained and tested to develop the automatic pain assessment method by combining features extracted from the physiological signals and self-report questionnaires’ outcomes.
Main activities: Data collection, Data and signal management, Signal processing, Machine Learning algorithms implementation
Location: Bellaria Hospital - IRCCS Istituto delle Scienze Neurologiche di Bologna, Neurorehabilitation Unit, Bologna
Expected time period: September 2022 – March 2023
Notes: it is expected that the student should go to Bellaria Hospital two/three times per week during the data collection period. The thesis project may also be combined with an internship activity
Ideal profile of the candidate
Bachelor's degree X
Graduating student X
Majoring in Electronics X
Majoring in Biomedical Engineering X
Reference course(s)
Biomedical Engineering Laboratory (L Biomedical Engineering, Cesena) X
Bioengineering T-A (Electronics and Telecommunications, Bologna) X
Aging and Rehabilitation Engineering (LM Biomedical Engineering, Cesena) X
Biomedical Data and Signal Processing (LM Elettronica, Bologna) X
Co-tutor(s)
ing. Serena Moscato
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Project code 2021-TMBE-1
Tentative title of the project
Instrumented functional tests of mobility: a comparative descriptive study
Main objectives
Compare the motor function of different patient populations using parameters measured with wearable inertial sensors
Brief description of the planned activities
Establish a database with data and signals from different studies
Develop and test inertial sensor signal analysis algorithms for the following functional tests: TUG, L-test, gait, static posture
Analysis with unsupervised machine learning techniques on the parameters extracted from the signals
Examples of tools to use: Git, NoSQL, Python, R, t-SNR
Related project(s)
Knowledge and skills required upon entry
summer 2022
Project to be carried out at:
- Bologna, Cesena or remotely
Ideal profile of the candidate
Bachelor's degree X
Graduating student X
Majoring in Electronics X
Majoring in Biomedical Engineering X
Reference course(s)
Biomedical Engineering Laboratory (L Biomedical Engineering, Cesena) X
Bioengineering T-A (Electronics and Telecommunications, Bologna) X
Aging and Rehabilitation Engineering (LM Biomedical Engineering, Cesena) X
Biomedical Data and Signal Processing (LM Elettronica, Bologna) X
Co-tutor(s)
ing. Pierpaolo Palumbo
