Body ares networks for human motor assessment

Healthcare, Human Computer Interfaces (HCI), Security and Biometry are the most promising application scenario directly involved in the Body Area Networks (BANs) evolution. Both wearable devices and sensors directly integrated in garments envision a word in which each of us is supervised by an invisible assistant monitoring our health and daily-life activities. New opportunities are enabled because improvements in sensors miniaturization and transmission efficiency of the wireless protocols, that achieved the integration of high computational power aboard independent, energy-autonomous, small form factor devices. Application’s purposes are various: (I) data collection to achieve off-line knowledge discovery; (II) user notification of his/her activities or in case a danger occurs; (III) biofeedback rehabilitation; (IV) remote alarm activation in case the subject need assistance; (V) introduction of a more natural interaction with the surrounding computerized environment; (VI) users identification by physiological or behavioral characteristics. Telemedicine and mHealth [1] are two of the leading concepts directly related to healthcare. The capability to borne unobtrusiveness objects supports users’ autonomy. A new sense of freedom is shown to the user, not only supported by a psychological help but a real safety improvement. Furthermore, medical community aims the introduction of new devices to innovate patient treatments. In particular, the extension of the ambulatory analysis in the real life scenario by proving continuous acquisition. The wide diffusion of emerging wellness portable equipment extended the usability of wearable devices also for fitness and training by monitoring user performance on the working task. The learning of the right execution techniques related to work, sport, music can be supported by an electronic trainer furnishing the adequate aid. HCIs made real the concept of Ubiquitous, Pervasive Computing and Calm Technology introduced in the 1988 by Marc Weiser and John Seeley Brown. They promotes the creation of pervasive environments, enhancing the human experience. Context aware, adaptive and proactive environments serve and help people by becoming sensitive and reactive to their presence, since electronics is ubiquitous and deployed everywhere. In this thesis we pay attention to the integration of all the aspects involved in a BAN development. Starting from the choice of sensors we design the node, configure the radio network, implement real-time data analysis and provide a feedback to the user. We present algorithms to be implemented in wearable assistant for posture and gait analysis and to provide assistance on different walking conditions, preventing falls. Our aim, expressed by the idea to contribute at the development of a non proprietary solutions, driven us to integrate commercial and standard solutions in our devices. We use sensors available on the market and avoided to design specialized sensors in ASIC technologies. We employ standard radio protocol and open source projects when it was achieved. The specific contributions of the PhD research activities are presented and discussed in the following. • We have designed and build several wireless sensor node providing both sensing and actuator capability making the focus on the flexibility, small form factor and low power consumption. The key idea was to develop a simple and general purpose architecture for rapid analysis, prototyping and deployment of BAN solutions. Two different sensing units are integrated: kinematic (3D accelerometer and 3D gyroscopes) and kinetic (foot-floor contact pressure forces). Two kind of feedbacks were implemented: audio and vibrotactile. • Since the system built is a suitable platform for testing and measuring the features and the constraints of a sensor network (radio communication, network protocols, power consumption and autonomy), we made a comparison between Bluetooth and ZigBee performance in terms of throughput and energy efficiency. Test in the field evaluate the usability in the fall detection scenario. • To prove the flexibility of the architecture designed, we have implemented a wearable system for human posture rehabilitation. The application was developed in conjunction with biomedical engineers who provided the audio-algorithms to furnish a biofeedback to the user about his/her stability. • We explored off-line gait analysis of collected data, developing an algorithm to detect foot inclination in the sagittal plane, during walk. • In collaboration with the Wearable Lab – ETH, Zurich, we developed an algorithm to monitor the user during several walking condition where the user carry a load. The remainder of the thesis is organized as follows. Chapter I gives an overview about Body Area Networks (BANs), illustrating the relevant features of this technology and the key challenges still open. It concludes with a short list of the real solutions and prototypes proposed by academic research and manufacturers. The domain of the posture and gait analysis, the methodologies, and the technologies used to provide real-time feedback on detected events, are illustrated in Chapter II. The Chapter III and IV, respectively, shown BANs developed with the purpose to detect fall and monitor the gait taking advantage by two inertial measurement unit and baropodometric insoles. Chapter V reports an audio-biofeedback system to improve balance on the information provided by the use centre of mass. A walking assistant based on the KNN classifier to detect walking alteration on load carriage, is described in Chapter VI.

Farmacogenomica della Clofarabina nel trattamento delle Leucemie Acute pediatriche: identificazione di nuovi bersagli molecolari e del profilo genomico associato all’efficacia terapeutica del farmaco antitumorale

In quest’ultimi decenni si è assistito ad un notevole miglioramento nella terapia delle Leucemie Acute (LA) pediatriche, nonostante tutto si assiste oggi ad una fase di plateau della curva di sopravvivenza e le leucemie continuano a costituire la principale causa di morte pediatrica per malattia. Ulteriori progressi nel trattamento delle LA potrebbero essere ottenuti mediante studi di farmacogenomica che, identificando le componenti genetiche associate alla risposta individuale ai trattamenti farmacologici, consentono il disegno di terapie personalizzate e tumore-specifiche, ad alta efficacia e bassa tossicità per ciascun paziente. Il lavoro svolto è stato, dunque, finalizzato allo studio della farmacogenomica del farmaco antitumorale Clofarabina (CLO) nel trattamento delle LA pediatriche al fine di identificare marcatori genetici predittivi di risposta delle cellule leucemiche al farmaco, delucidare i meccanismi di resistenza cellulare ed individuare nuovi bersagli verso cui indirizzare terapie più mirate ed efficaci. L’analisi in vitro della sensibilità alla CLO di blasti provenienti da pazienti pediatrici affetti da Leucemia Acuta Linfoblastica (LAL) e Mieloide (LAM) ha consentito l’identificazione di due sottopopolazioni di cellule LAL ad immunofenotipo T a diversa sensibilità alla CLO. Mediante DNA-microarrays, si è identificata la “signature” genetica specificamente associata alla diversa risposta delle cellule LAL-T al farmaco. Successivamente, la caratterizzazione funzionale dei geni differenziali e l’analisi dei pathways hanno consentito l’identificazione specifica di potenziali biomarcatori di risposta terapeutica aprendo nuove prospettive per la comprensione dei meccanismi di resistenza cellulare alla CLO e suggerendo un nuovo bersaglio terapeutico per le forme LAL-T a bassa sensibilità al farmaco. In conclusione, nel lavoro svolto si sono identificati set di geni e pathways di rilievo biologico per la risposta delle cellule LAL-T alla CLO suggerendo marcatori genetici in grado di identificare i soggetti eleggibili per il trattamento o verso cui disegnare terapie innovative. Il lavoro è paradigma per l’applicazione della farmacogenomica in altre neoplasie.

RNA non-codificanti indotti da danno al DNA regolano il fattore di trascrizione HIF-1α

Recenti analisi sull’intero trascrittoma hanno rivelato una estensiva trascrizione di RNA non codificanti (ncRNA), le quali funzioni sono tuttavia in gran parte sconosciute. In questo lavoro è stato dimostrato che alte dosi di camptotecina (CPT), un farmaco antitumorale inibitore della Top1, aumentano la trascrizione di due ncRNA antisenso in 5’ e 3’ (5'aHIF-1α e 3'aHIF-1α rispettivamente) al locus genico di HIF-1α e diminuiscono i livelli dell’mRNA di HIF-1α stesso. Gli effetti del trattamento sono Top1-dipendenti, mentre non dipendono dal danno al DNA alla forca di replicazione o dai checkpoint attivati dal danno al DNA. I ncRNA vengono attivati in risposta a diversi tipi di stress, il 5'aHIF-1α è lungo circa 10 kb e possiede sia il CAP in 5’ sia poliadenilazione in 3’ (in letteratura è noto che il 3'aHIF-1α è un trascritto di 1,7 kb, senza 5’CAP né poliadenilazione). Analisi di localizzazione intracellulare hanno dimostrato che entrambi sono trascritti nucleari. In particolare 5'aHIF-1α co-localizza con proteine del complesso del poro nucleare, suggerendo un suo possibile ruolo come mediatore degli scambi della membrana nucleare. È stata dimostrata inoltre la trascrizione dei due ncRNA in tessuti di tumore umano del rene, evidenziandone possibili ruoli nello sviluppo del cancro. È anche noto in letteratura che basse dosi di CPT in condizioni di ipossia diminuiscono i livelli di proteina di HIF-1α. Dopo aver dimostrato su diverse linee cellulari che i due ncRNA sopracitati non potessero essere implicati in tale effetto, abbiamo studiato le variazioni dell’intero miRnoma alle nuove condizioni sperimentali. In tal modo abbiamo scoperto che il miR-X sembra essere il mediatore molecolare dell’abbattimento di HIF-1α dopo trattamento con basse dosi di CPT in ipossia. Complessivamente, questi risultati suggeriscono che il fattore di trascrizione HIF-1α venga finemente regolato da RNA non-codificanti indotti da danno al DNA.

Studio della subunità epsilon della DNA polimerasi III di Escherichia coli: stabilità e interazione con la subunità polimerasica

Faithful replication of DNA from one generation to the next is crucial for long-term species survival. Genomic integrity in prokaryotes, archaea and eukaryotes is dependent on efficient and accurate catalysis by multiple DNA polymerases. Escherichia coli possesses five known DNA polymerases (Pol). DNA polymerase III holoenzyme is the major replicative polymerase of the Escherichia coli chromosome (Kornberg, 1982). This enzyme contains two Pol III cores that are held together by a t dimer (Studwell-Vaughan and O’Donnell, 1991). The core is composed of three different proteins named α-, ε- and θ-subunit. The α-subunit, encoded by dnaE, contains the catalytic site for DNA polymerisation (Maki and Kornberg, 1985), the ε-subunit, encoded by dnaQ, contains the 3′→5′ proofreading exonuclease (Scheuermann, et al., 1983) and the θ-subunit, encoded by hole, that has no catalytic activity (Studwell-Vaughan, and O'Donnell, 1983). The three-subunit α–ε–θ DNA pol III complex is the minimal active polymerase form purified from the DNA pol III holoenzyme complex; these three polypeptides are tightly associated in the core (McHenry and Crow, 1979) Despite a wealth of data concerning the properties of DNA polymerase III in vitro, little information is available on the assembly in vivo of this complex enzyme. In this study it is shown that the C-terminal region of the proofreading subunit is labile and that the ClpP protease and the molecular chaperones GroL and DnaK control the overall concentration in vivo of ε. Two α-helices (comprising the residues E311-M335 and G339-D353, respectively) of the N-terminal region of the polymerase subunit were shown to be essential for the binding to ε. These informations could be utilized to produce a conditional mutator strain in which proofreading activity would be titrated by a a variant that can only bind e and that is polymerase-deficient. In this way the replication of DNA made by DNA Pol-III holoenzyme would accordingly become error-prone.

Statistical Physics and Modeling of Human Mobility

In this thesis, we extend some ideas of statistical physics to describe the properties of human mobility. By using a database containing GPS measures of individual paths (position, velocity and covered space at a spatial scale of 2 Km or a time scale of 30 sec), which includes the 2% of the private vehicles in Italy, we succeed in determining some statistical empirical laws pointing out "universal" characteristics of human mobility. Developing simple stochastic models suggesting possible explanations of the empirical observations, we are able to indicate what are the key quantities and cognitive features that are ruling individuals' mobility. To understand the features of individual dynamics, we have studied different aspects of urban mobility from a physical point of view. We discuss the implications of the Benford's law emerging from the distribution of times elapsed between successive trips. We observe how the daily travel-time budget is related with many aspects of the urban environment, and describe how the daily mobility budget is then spent. We link the scaling properties of individual mobility networks to the inhomogeneous average durations of the activities that are performed, and those of the networks describing people's common use of space with the fractional dimension of the urban territory. We study entropy measures of individual mobility patterns, showing that they carry almost the same information of the related mobility networks, but are also influenced by a hierarchy among the activities performed. We discover that Wardrop's principles are violated as drivers have only incomplete information on traffic state and therefore rely on knowledge on the average travel-times. We propose an assimilation model to solve the intrinsic scattering of GPS data on the street network, permitting the real-time reconstruction of traffic state at a urban scale.

A skin surface characterization system based on capacitive image analysis

During the last few years, several methods have been proposed in order to study and to evaluate characteristic properties of the human skin by using non-invasive approaches. Mostly, these methods cover aspects related to either dermatology, to analyze skin physiology and to evaluate the effectiveness of medical treatments in skin diseases, or dermocosmetics and cosmetic science to evaluate, for example, the effectiveness of anti-aging treatments. To these purposes a routine approach must be followed. Although very accurate and high resolution measurements can be achieved by using conventional methods, such as optical or mechanical profilometry for example, their use is quite limited primarily to the high cost of the instrumentation required, which in turn is usually cumbersome, highlighting some of the limitations for a routine based analysis. This thesis aims to investigate the feasibility of a noninvasive skin characterization system based on the analysis of capacitive images of the skin surface. The system relies on a CMOS portable capacitive device which gives 50 micron/pixel resolution capacitance map of the skin micro-relief. In order to extract characteristic features of the skin topography, image analysis techniques, such as watershed segmentation and wavelet analysis, have been used to detect the main structures of interest: wrinkles and plateau of the typical micro-relief pattern. In order to validate the method, the features extracted from a dataset of skin capacitive images acquired during dermatological examinations of a healthy group of volunteers have been compared with the age of the subjects involved, showing good correlation with the skin ageing effect. Detailed analysis of the output of the capacitive sensor compared with optical profilometry of silicone replica of the same skin area has revealed potentiality and some limitations of this technology. Also, applications to follow-up studies, as needed to objectively evaluate the effectiveness of treatments in a routine manner, are discussed.

Sistemi innovativi per il miglioramento della qualità e della sicurezza degli alimenti

Nell’attuale contesto, caratterizzato da un’elevata attenzione alla qualità e alla sicurezza degli alimenti e alle soluzioni tese a garantirli, l’implementazione di sistemi microelettronici per il controllo del prodotto attraverso supporti miniaturizzati e a basso costo può risultare un’opportunità strategica. Oggetto della ricerca di dottorato sono stati lo studio dell’utilizzo di sensori e strumentazione innovativi per la misurazione ed il controllo di parametri ambientali di conservazione di prodotti alimentari e per la loro identificazione mediante la tecnologia della radiofrequenza. Allo scopo è stato studiato il contesto in cui operano gli attori principali della filiera agroalimentare ed è stata sviluppata un’idea di etichetta progettata per essere in grado di emettere attivamente segnale di allarme in caso di necessità (etichetta RFID intelligente semi-passiva). Il prototipo di chip, realizzato in via sperimentale, è stato validato positivamente, sia come strumento di misura, sia in termini di prestazione nel caso studio del monitoraggio della conservazione di un prodotto alimentare in condizioni controllate di temperatura e radiazione luminosa. Le significative evidenze analitiche di reazioni di degradazione dello stato qualitativo del prodotto, quali analisi di pH e colore, raccolte durante il periodo di osservazione di 64 giorni, hanno trovato riscontro con le misure rilevate dal chip prototipo. I risultati invitano ad individuare un partner industriale, con il quale sperimentare l’applicazione della tecnologia proposta.