This is the list of topics for available Theses for our course. Please contact the reference person if youe are interested in a proposal.

TOPIC:  Clinical engineering management software implementation

PARTNER: Humanitas group (www.humanitas.it)

CONTACT PERSON: Ettore Lanzarone

TOPIC: Renovation of maternal and child care ward

PARTNER: Humanitas group (www.humanitas.it)

CONTACT PERSON: Ettore Lanzarone

TOPIC: Renovation of outpatient area and rehabilitation gymnasium

PARTNER: Humanitas group (www.humanitas.it)

CONTACT PERSON: Ettore Lanzarone

TOPIC: Joint Commission International Accreditation

PARTNER: Humanitas group (www.humanitas.it)

CONTACT PERSON: Ettore Lanzarone

TOPIC: Clinical engineering software - applications and possible developments

PARTNER: Humanitas group (www.humanitas.it)

CONTACT PERSON: Ettore Lanzarone

TOPIC: Renovation of Radiology and Diagnostic Imaging Ward

PARTNER: Humanitas group (www.humanitas.it)

CONTACT PERSON: Ettore Lanzarone

TOPIC: 3D reconstruction from AI automatically segmented 2D masks

PARTNER: CNR-ITB (www.itb.cnr.it)

CONTACT PERSON: Ettore Lanzarone

TOPIC: Simulating the effects of an interatrial shunt device on supine and upright hemodynamics of heart failure with preserved ejection fraction

PARTNERS: Ospedale San Luca IRCCS Istituto Auxologico Italiano, Milano; Duke University, Durham (NC), USA

CONTACT PERSON: Sergio Caravita

TOPIC: Modeling the right heart - pulmonary circulation unit in patients with tricuspid regurgitation

PARTNER: Ospedale San Luca IRCCS Istituto Auxologico Italiano, Milano

CONTACT PERSON: Sergio Caravita

TOPIC: Construction of an Artificial Intelligence system to improve disease prognosis through integration of multimodal longitudinal data.  

PARTNER: IRCCS Policlinico San Matteo (https://www.sanmatteo.org/)

CONTACT PERSON: Daniele Pala

TOPIC:  Failure analysis of revised knee prosthesis 

PARTNER: Bioimpianti 

CONTACT PERSON: Marina Cabrini 

TOPIC:  Experimental determination of degradation rate of PEO coated magnesium alloys for bioresorbable devices 

PARTNER: Politecnico di Milano 

CONTACT PERSON: Marina Cabrini 

TOPIC: Methods for the detection and quantification of nano-plastics in histological materials

ABSTRACT: The accumulation of micro- and nanoplastics in the human body is of major scientific interest. Various detection and quantification techniques are employed, particularly in organs (via histological sections) and biological fluids. This thesis focuses on evaluating current methods and developing a novel sample preparation protocol alongside an associated analytical technique.

PARTNER: Anthem Fondazione Anthem 

CONTACT PERSON: Maurizio Santini

TOPIC: Evaluation of gait parameters in individuals with lower limb spasticity using a spasticity-specific orthotic device 

ABSTRACT: Lower limb spasticity significantly impairs gait, resulting in slow and unstable walking for affected individuals. The aim of this thesis is to validate the use of a new spasticity-specific Ankle-Foot Orthosis (AFO), the first designed to help stroke survivors and Multiple Sclerosis patients with spastic gait, by assessing the differences in gait parameters with and without the new orthosis. For this purpose, the WalkerView system by Tecnobody - a sensorized treadmill capable of providing real-time gait analysis - will be employed.

PARTNERS: Tecnobody S.p.A.

CONTACT PERSON: Elena Bergamini

TOPIC: Estimation of the maximum amplitude of electromyographic signals from submaximal contractions during physical activity on a cycle ergometer. 

ABSTRACT: The aim of the thesis is to develop and validate a method for estimating the maximum amplitude of the electromyographic (EMG) signal during a maximal voluntary contraction (MVC), based on measurements taken during muscle contractions performed while exercising on a cycle ergometer. The thesis involves the acquisition, pre-processing, and filtering of the EMG signal, as well as the development of a mathematical or statistical model for estimating the maximum amplitude, which is essential for signal normalization.

PARTNERS: Physio-Motion Lab (UniBG - CUS)

CONTACT PERSON: Elena Bergamini/Nicholas Valceschini

TOPIC: Estimation of body segment pose using a markerless biomechanical model with LiDAR 

ABSTRACT: The aim of the thesis is to develop and validate a markerless method for estimating the main biomechanical parameters of the human body (such as joint positions, body segments, and joint angles) using a LiDAR sensor. The work aims to construct a simplified three-dimensional model of the human body in motion based on the acquired depth data.

PARTNERS: Physio-Motion Lab (UniBG - CUS)

CONTACT PERSON: Elena Bergamini/Nicholas Valceschini