From fall-risk assessment to fall detection: inertial sensors in the clinical routine and daily life

Falls are caused by complex interaction between multiple risk factors which may be modified by age, disease and environment. A variety of methods and tools for fall risk assessment have been proposed, but none of which is universally accepted. Existing tools are generally not capable of providing a quantitative predictive assessment of fall risk. The need for objective, cost-effective and clinically applicable methods would enable quantitative assessment of fall risk on a subject-specific basis. Tracking objectively falls risk could provide timely feedback about the effectiveness of administered interventions enabling intervention strategies to be modified or changed if found to be ineffective. Moreover, some of the fundamental factors leading to falls and what actually happens during a fall remain unclear. Objectively documented and measured falls are needed to improve knowledge of fall in order to develop more effective prevention strategies and prolong independent living. In the last decade, several research groups have developed sensor-based automatic or semi-automatic fall risk assessment tools using wearable inertial sensors. This approach may also serve to detect falls. At the moment, i) several fall-risk assessment studies based on inertial sensors, even if promising, lack of a biomechanical model-based approach which could provide accurate and more detailed measurements of interests (e.g., joint moments, forces) and ii) the number of published real-world fall data of older people in a real-world environment is minimal since most authors have used simulations with healthy volunteers as a surrogate for real-world falls. With these limitations in mind, this thesis aims i) to suggest a novel method for the kinematics and dynamics evaluation of functional motor tasks, often used in clinics for the fall-risk evaluation, through a body sensor network and a biomechanical approach and ii) to define the guidelines for a fall detection algorithm based on a real-world fall database availability.

Assessment of Daily Life Mobility Levels using Wearable Inertial Sensors and Minimun Measured Input Models

Tracking activities during daily life and assessing movement parameters is essential for complementing the information gathered in confined environments such as clinical and physical activity laboratories for the assessment of mobility. Inertial measurement units (IMUs) are used as to monitor the motion of human movement for prolonged periods of time and without space limitations. The focus in this study was to provide a robust, low-cost and an unobtrusive solution for evaluating human motion using a single IMU. First part of the study focused on monitoring and classification of the daily life activities. A simple method that analyses the variations in signal was developed to distinguish two types of activity intervals: active and inactive. Neural classifier was used to classify active intervals; the angle with respect to gravity was used to classify inactive intervals. Second part of the study focused on extraction of gait parameters using a single inertial measurement unit (IMU) attached to the pelvis. Two complementary methods were proposed for gait parameters estimation. First method was a wavelet based method developed for the estimation of gait events. Second method was developed for estimating step and stride length during level walking using the estimations of the previous method. A special integration algorithm was extended to operate on each gait cycle using a specially designed Kalman filter. The developed methods were also applied on various scenarios. Activity monitoring method was used in a PRIN’07 project to assess the mobility levels of individuals living in a urban area. The same method was applied on volleyball players to analyze the fitness levels of them by monitoring their daily life activities. The methods proposed in these studies provided a simple, unobtrusive and low-cost solution for monitoring and assessing activities outside of controlled environments.

"All'opera ha fatto seguito il ballo": Danza e stampa nell'Italia fascista

Basata sul reperimento di un’ampia mole di testi giornalistici (come cronache, interviste, elzeviri e articoli di “Terza”) dedicati alle pratiche coreiche e pubblicati in Italia nel corso del ventennio fascista, la tesi ricostruisce i lineamenti di quello che, seppure ancora embrionale e certo non specialistico, si può comunque ritenere una sorta di “pensiero italiano” sulla danza del Primo Novecento. A partire dalla ricognizione sistematica di numerose testate quotidiane e periodiche e, pertanto, dalla costruzione di un nutrito corpus di fonti primarie, si è proceduto all’analisi dei testi reperiti attraverso un approccio metodologico che, fondamentalmente storiografico, accoglie tuttavia alcuni rudimenti interpretativi elaborati in ambito semiotico (con particolare riferimento alle teorizzazioni di Jurij Lotman e Umberto Eco), il tutto al fine di cogliere, pur nell’estrema varietà formale e contenutistica offerta dal materiale documentario, alcune dinamiche culturali di fondo attraverso le quali disegnare, da un lato, il panorama delle tipologie di danza effettivamente praticate sulle scene italiane del Ventennio,e, dall’altro, quello dell’insieme di pensieri, opinioni e gusti orbitanti attorno ad esse Ne è scaturita una trattazione fondamentalmente tripartita in cui, dopo la messa in campo delle questioni metodologiche, si passa dapprima attraverso l’indagine dei tre principali generi di danza che, nella stampa del periodo fascista, si ritenevano caratteristici della scena coreica internazionale – qui definiti nei termini di “ballo teatrale”, “ballo russo” e “danze libere” – e, successivamente, si presenta un approfondimento su tre singolari figure di intellettuali che, ognuno con un’attitudine estremamente personale, hanno dedicato alla danza un’attenzione speciale: Anton Giulio Bragaglia, Paolo Fabbri e Marco Ramperti. Un’ampia antologia critica completa il lavoro ripercorrendone gli snodi principali.