Progetto e realizzazione di un sistema UWB per comunicazioni audio e dati a breve raggio

In questo elaborato si vuole studiare l’implementazione di un sistema di comunicazione dati e audio basato su segnali Ultra Wide Band (UWB). L’obiettivo del progetto è quindi quello di implementare un sistema di comunicazione punto-multi punto basato su UWB.

A Reliable Downscaling of ECG Signals for the Detection of T wave Heterogeneity Features

In cardiovascular disease the definition and the detection of the ECG parameters related to repolarization dynamics in post MI patients is still a crucial unmet need. In addition, the use of a 3D sensor in the implantable medical devices would be a crucial mean in the assessment or prediction of Heart Failure status, but the inclusion of such feature is limited by hardware and firmware constraints. The aim of this thesis is the definition of a reliable surrogate of the 500 Hz ECG signal to reach the aforementioned objective. To evaluate the worsening of reliability due to sampling frequency reduction on delineation performance, the signals have been consecutively down sampled by a factor 2, 4, 8 thus obtaining the ECG signals sampled at 250, 125 and 62.5 Hz, respectively. The final goal is the feasibility assessment of the detection of the fiducial points in order to translate those parameters into meaningful clinical parameter for Heart Failure prediction, such as T waves intervals heterogeneity and variability of areas under T waves. An experimental setting for data collection on healthy volunteers has been set up at the Bakken Research Center in Maastricht. A 16 – channel ambulatory system, provided by TMSI, has recorded the standard 12 – Leads ECG, two 3D accelerometers and a respiration sensor. The collection platform has been set up by the TMSI property software Polybench, the data analysis of such signals has been performed with Matlab. The main results of this study show that the 125 Hz sampling rate has demonstrated to be a good candidate for a reliable detection of fiducial points. T wave intervals proved to be consistently stable, even at 62.5 Hz. Further studies would be needed to provide a better comparison between sampling at 250 Hz and 125 Hz for areas under the T waves.

'Scratch' locative audio drama - report to BBC executives on trial at BBC FreeThinking 2008

‘Scratch’ investigates the use of physical space as a representation of narrative and dramatic structure. An audio-drama, it is a world-first in being location-sensitive without being tied to any particular place (preceding attempts by others have emphasised location-specific aspects of the genre). Developed in collaboration with and part-funded by BBC Radio Drama, it builds on research undertaken for ‘Dragons’ (output 4). It uses pre-recorded audio on GPS-enabled mobile devices allowing sounds to be virtually attached to locations in an outdoor space. As participants move, they encounter scenes forming a coherent drama which behave differently if the same place is visited more than once. This translocational approach opens novel artistic possibilities exploited through team expertise in narrative, sound design and advanced interaction. It is also significant in the economics of broadcast media as a more viable proposition than the many experimental locative experiences which have been site-specific: this was of great interest to the BBC. The public performance selected for BBC FreeThinking, 1-2 September 2008 in Liverpool as part of European Capital of Culture was reported in a co-authored 2009 conference presentation at ISEA, Belfast, 26-29 August 2009 and in a co-authored short chapter in Spierling and Szilas (eds.) Interactive Storytelling, Springer 2008. Boyd Davis directed the project and devised and undertook the evaluation with 40 trial listeners, reporting to BBC executives (http://researchonline.rca.ac.uk/1000/) for whom a second trial was also run in London in 2009. The evaluation used interview, video observation and a questionnaire combining an open question at the beginning with more specific questions later, avoiding channelling respondents' reactions immediately after the experience into issues which might not be uppermost in their minds, while also yielding data capable of rigorous analysis. The evaluation was to provide feedback to the makers of the drama and to guide policy at the BBC. [287] Participants were recruited principally through the publicity for FreeThinking 2008 – mainly via the festival website. The average age of participants was 40. The gender of participants was 20 males, 17 females and 3 null returns. The evaluation strategy was to combine an open question at the beginning with more specific questions later. In this way we avoided channeling respondents' initial opinions immediately after the experience into issues which might not be uppermost in their minds, while also yielding data capable of rigorous analysis. The purpose of the evaluation was to provide guidance for ourselves as the makers of the drama and to guide policy at the BBC on locative and other interactive media. The responses are analysed in the report.

A Comparison of Audio Recordings and Therapist's Process Notes in Child and Adolescent Psychoanalytic Psychotherapy

Therapistsʼ process notes - written descriptions of a session produced shortly afterwards from memory - hold a significant role in child and adolescent psychoanalytic psychotherapy. They are central in training, in supervision, and in developing oneʼs understanding through selfsupervision and forms of psychotherapy research. This thesis examines such process notes through a comparison with audio recordings of the same sessions. In so doing, it aims to generate theory that might illuminate the causes of significantly patterned discrepancies between the notes and recordings, in order to understand more about the processes at work in psychoanalytic psychotherapy and to explore the nature of process notes, their values and limitations. The literature searches conducted revealed limited relevant studies. All identified studies that compare process notes with recordings of sessions seek to quantify the differences between the two forms of recording. Unlike these, this thesis explores the meaning of the differences between process notes and recordings through qualitative data analysis. Using psychoanalytically informed grounded theory, in total nine sets of process notes and recordings from three different psychoanalytic psychotherapists are analysed. The analysis identifies eight core categories of findings. Initial theories are developed from these categories, most significantly concerning the role and influence of a ʻcore transference dynamicʼ between therapist and patient. Further theory is developed on the nature and function of process notes as a means for the therapistʼs conscious and unconscious processing of the session, as well as on the nature of the influence of the relationships – both internal and external – within which they are written. In the light of the findings, a proposal is made for a new approach for learning about the patient and clinical work, ʻthe comparison methodʼ (supervision involving a comparison of process notes and recordings), and, in particular, for its inclusion within the training of psychoanalytic psychotherapists. Further recommendations for research are also made.

Entropy feature extraction of EEG signals for automatic person identification

The use of human brain electroencephalography (EEG) signals for automatic person identi cation has been investigated for a decade. It has been found that the performance of an EEG-based person identication system highly depends on what feature to be extracted from multi-channel EEG signals. Linear methods such as Power Spectral Density and Autoregressive Model have been used to extract EEG features. However these methods assumed that EEG signals are stationary. In fact, EEG signals are complex, non-linear, non-stationary, and random in nature. In addition, other factors such as brain condition or human characteristics may have impacts on the performance, however these factors have not been investigated and evaluated in previous studies. It has been found in the literature that entropy is used to measure the randomness of non-linear time series data. Entropy is also used to measure the level of chaos of braincomputer interface systems. Therefore, this thesis proposes to study the role of entropy in non-linear analysis of EEG signals to discover new features for EEG-based person identi- cation. Five dierent entropy methods including Shannon Entropy, Approximate Entropy, Sample Entropy, Spectral Entropy, and Conditional Entropy have been proposed to extract entropy features that are used to evaluate the performance of EEG-based person identication systems and the impacts of epilepsy, alcohol, age and gender characteristics on these systems. Experiments were performed on the Australian EEG and Alcoholism datasets. Experimental results have shown that, in most cases, the proposed entropy features yield very fast person identication, yet with compatible accuracy because the feature dimension is low. In real life security operation, timely response is critical. The experimental results have also shown that epilepsy, alcohol, age and gender characteristics have impacts on the EEG-based person identication systems.

Using electroencephalography signals to control acoustical processing

Current hearing-assistive technology performs poorly in noisy multi-talker conditions. The goal of this thesis was to establish the feasibility of using EEG to guide acoustic processing in such conditions. To attain this goal, this research developed a model via the constructive research method, relying on literature review. Several approaches have revealed improvements in the performance of hearing-assistive devices under multi-talker conditions, namely beamforming spatial filtering, model-based sparse coding shrinkage, and onset enhancement of the speech signal. Prior research has shown that electroencephalography (EEG) signals contain information that concerns whether the person is actively listening, what the listener is listening to, and where the attended sound source is. This thesis constructed a model for using EEG information to control beamforming, model-based sparse coding shrinkage, and onset enhancement of the speech signal. The purpose of this model is to propose a framework for using EEG signals to control sound processing to select a single talker in a noisy environment containing multiple talkers speaking simultaneously. On a theoretical level, the model showed that EEG can control acoustical processing. An analysis of the model identified a requirement for real-time processing and that the model inherits the computationally intensive properties of acoustical processing, although the model itself is low complexity placing a relatively small load on computational resources. A research priority is to develop a prototype that controls hearing-assistive devices with EEG. This thesis concludes highlighting challenges for future research.

Audio games: investigation of the potential through prototype development

This article discusses the potential of audio games based on the evaluation of three projects: a story-driven audio role-playing game (RPG), an interactive audiobook with RPG elements, and a set of casual sound-based games. The potential is understood, both in popularity and playability terms. The first factor is connected to the degree of players’ interest, while the second one to the degree of their engagement in sound-based game worlds. Although presented projects are embedded within the landscape of past and contemporary audio games and gaming platforms, the authors reach into the near future, concluding with possible development directions for this non-visual interactive entertainment.

An approach to emotion recognition in single-channel EEG signals: a mother child interaction

In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology -- Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains -- Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness

Second-order cyclostationarity-based detection and classification of LTE SC-FDMA signals for cognitive radio

Cognitive radio (CR) was developed for utilizing the spectrum bands efficiently. Spectrum sensing and awareness represent main tasks of a CR, providing the possibility of exploiting the unused bands. In this thesis, we investigate the detection and classification of Long Term Evolution (LTE) single carrier-frequency division multiple access (SC-FDMA) signals, which are used in uplink LTE, with applications to cognitive radio. We explore the second-order cyclostationarity of the LTE SC-FDMA signals, and apply results obtained for the cyclic autocorrelation function to signal detection and classification (in other words, to spectrum sensing and awareness). The proposed detection and classification algorithms provide a very good performance under various channel conditions, with a short observation time and at low signal-to-noise ratios, with reduced complexity. The validity of the proposed algorithms is verified using signals generated and acquired by laboratory instrumentation, and the experimental results show a good match with computer simulation results.

LAUDMUS: rumo à implantação e gerenciamento de uma lista de audição musical online

SILVA, Alexandre Reche e. LAUDMUS: rumo à implantação e gerenciamento de uma lista de audição musical online. In: ENCONTRO REGIONAL DA ABEM NORDESTE (Associação Brasileira de Educação Musical), 9, Natal, RN, 2010. Anais eletronicos... Natal, RN, 2010.Trabalho Completo. Disponivel em: . Acesso em: 04 out. 2010.

Class-D audio amplifiers with negative feedback

There are many different designs for audio amplifiers. Class-D, or switching, amplifiers generate their output signal in the form of a high-frequency square wave of variable duty cycle (ratio of on time to off time). The square-wave nature of the output allows a particularly efficient output stage, with minimal losses. The output is ultimately filtered to remove components of the spectrum above the audio range. Mathematical models are derived here for a variety of related class-D amplifier designs that use negative feedback. These models use an asymptotic expansion in powers of a small parameter related to the ratio of typical audio frequencies to the switching frequency to develop a power series for the output component in the audio spectrum. These models confirm that there is a form of distortion intrinsic to such amplifier designs. The models also explain why two approaches used commercially succeed in largely eliminating this distortion; a new means of overcoming the intrinsic distortion is revealed by the analysis. Copyright (2006) Society for Industrial and Applied Mathematics

Investigation of multisensory processing and structural brain differences in Autism Spectrum Disorder

This thesis is an investigation of structural brain abnormalities, as well as multisensory and unisensory processing deficits in autistic traits and Autism Spectrum Disorder (ASD). To achieve this, structural and functional magnetic resonance imaging (fMRI) and psychophysical techniques were employed. ASD is a neurodevelopmental condition which is characterised by the social communication and interaction deficits, as well as repetitive patterns of behaviour, interests and activities. These traits are thought to be present in a typical population. The Autism Spectrum Quotient questionnaire (AQ) was developed to assess the prevalence of autistic traits in the general population. Von dem Hagen et al. (2011) revealed a link between AQ with white matter (WM) and grey matter (GM) volume (using voxel-based-morphometry). However, their findings revealed no difference in GM in areas associated with social cognition. Cortical thickness (CT) measurements are known to be a more direct measure of cortical morphology than GM volume. Therefore, Chapter 2 investigated the relationship between AQ scores and CT in the same sample of participants. This study showed that AQ scores correlated with CT in the left temporo-occipital junction, left posterior cingulate, right precentral gyrus and bilateral precentral sulcus, in a typical population. These areas were previously associated with structural and functional differences in ASD. Thus the findings suggest, to some extent, autistic traits are reflected in brain structure - in the general population. The ability to integrate auditory and visual information is crucial to everyday life, and results are mixed regarding how ASD influences audiovisual integration. To investigate this question, Chapter 3 examined the Temporal Integration Window (TIW), which indicates how precisely sight and sound need to be temporally aligned so that a unitary audiovisual event can be perceived. 26 adult males with ASD and 26 age and IQ-matched typically developed males were presented with flash-beep (BF), point-light drummer, and face-voice (FV) displays with varying degrees of asynchrony and asked to make Synchrony Judgements (SJ) and Temporal Order Judgements (TOJ). Analysis of the data included fitting Gaussian functions as well as using an Independent Channels Model (ICM) to fit the data (Garcia-Perez & Alcala-Quintana, 2012). Gaussian curve fitting for SJs showed that the ASD group had a wider TIW, but for TOJ no group effect was found. The ICM supported these results and model parameters indicated that the wider TIW for SJs in the ASD group was not due to sensory processing at the unisensory level, but rather due to decreased temporal resolution at a decisional level of combining sensory information. Furthermore, when performing TOJ, the ICM revealed a smaller Point of Subjective Simultaneity (PSS; closer to physical synchrony) in the ASD group than in the TD group. Finding that audiovisual temporal processing is different in ASD encouraged us to investigate the neural correlates of multisensory as well as unisensory processing using functional magnetic resonance imaging fMRI. Therefore, Chapter 4 investigated audiovisual, auditory and visual processing in ASD of simple BF displays and complex, social FV displays. During a block design experiment, we measured the BOLD signal when 13 adults with ASD and 13 typically developed (TD) age-sex- and IQ- matched adults were presented with audiovisual, audio and visual information of BF and FV displays. Our analyses revealed that processing of audiovisual as well as unisensory auditory and visual stimulus conditions in both the BF and FV displays was associated with reduced activation in ASD. Audiovisual, auditory and visual conditions of FV stimuli revealed reduced activation in ASD in regions of the frontal cortex, while BF stimuli revealed reduced activation the lingual gyri. The inferior parietal gyrus revealed an interaction between stimulus sensory condition of BF stimuli and group. Conjunction analyses revealed smaller regions of the superior temporal cortex (STC) in ASD to be audiovisual sensitive. Against our predictions, the STC did not reveal any activation differences, per se, between the two groups. However, a superior frontal area was shown to be sensitive to audiovisual face-voice stimuli in the TD group, but not in the ASD group. Overall this study indicated differences in brain activity for audiovisual, auditory and visual processing of social and non-social stimuli in individuals with ASD compared to TD individuals. These results contrast previous behavioural findings, suggesting different audiovisual integration, yet intact auditory and visual processing in ASD. Our behavioural findings revealed audiovisual temporal processing deficits in ASD during SJ tasks, therefore we investigated the neural correlates of SJ in ASD and TD controls. Similar to Chapter 4, we used fMRI in Chapter 5 to investigate audiovisual temporal processing in ASD in the same participants as recruited in Chapter 4. BOLD signals were measured while the ASD and TD participants were asked to make SJ on audiovisual displays of different levels of asynchrony: the participants’ PSS, audio leading visual information (audio first), visual leading audio information (visual first). Whereas no effect of group was found with BF displays, increased putamen activation was observed in ASD participants compared to TD participants when making SJs on FV displays. Investigating SJ on audiovisual displays in the bilateral superior temporal gyrus (STG), an area involved in audiovisual integration (see Chapter 4), we found no group differences or interaction between group and levels of audiovisual asynchrony. The investigation of different levels of asynchrony revealed a complex pattern of results indicating a network of areas more involved in processing PSS than audio first and visual first, as well as areas responding differently to audio first compared to video first. These activation differences between audio first and video first in different brain areas are constant with the view that audio leading and visual leading stimuli are processed differently.