Variability analysis of discrete event series and wavefront patterns in surface electrocardiogram: contributions to psychophysiological and clinical research

The surface electrocardiogram (ECG) is an established diagnostic tool for the detection of abnormalities in the electrical activity of the heart. The interest of the ECG, however, extends beyond the diagnostic purpose. In recent years, studies in cognitive psychophysiology have related heart rate variability (HRV) to memory performance and mental workload. The aim of this thesis was to analyze the variability of surface ECG derived rhythms, at two different time scales: the discrete-event time scale, typical of beat-related features (Objective I), and the “continuous” time scale of separated sources in the ECG (Objective II), in selected scenarios relevant to psychophysiological and clinical research, respectively. Objective I) Joint time-frequency and non-linear analysis of HRV was carried out, with the goal of assessing psychophysiological workload (PPW) in response to working memory engaging tasks. Results from fourteen healthy young subjects suggest the potential use of the proposed indices in discriminating PPW levels in response to varying memory-search task difficulty. Objective II) A novel source-cancellation method based on morphology clustering was proposed for the estimation of the atrial wavefront in atrial fibrillation (AF) from body surface potential maps. Strong direct correlation between spectral concentration (SC) of atrial wavefront and temporal variability of the spectral distribution was shown in persistent AF patients, suggesting that with higher SC, shorter observation time is required to collect spectral distribution, from which the fibrillatory rate is estimated. This could be time and cost effective in clinical decision-making. The results held for reduced leads sets, suggesting that a simplified setup could also be considered, further reducing the costs. In designing the methods of this thesis, an online signal processing approach was kept, with the goal of contributing to real-world applicability. An algorithm for automatic assessment of ambulatory ECG quality, and an automatic ECG delineation algorithm were designed and validated.

Human papillomavirus (HPV) and associated diseases: between applied diagnostic and basic research

Human Papillomavirus (HPV) is the cause of cervical cancers (among these, adenocarcinoma, AdCa) and is associated to a subgroup of oropharyngeal carcinomas (OPSCCs). Even if the risk for cancer development is linked to the infection by some viral genotypes, mainly HPV16 and 18, viral DNA alone seems not to be sufficient for diagnosis. Moreover, the role of the virus in OPSCCs has not been totally clarified yet. In the first part of the thesis, the performances concerning viral genotyping in clinical cervical samples of a new pyrosequencing-based test and a well-known hybridization-based assay have been compared. Similar results between the methods have been obtained. However, the former showed advantages in detecting intratype variants, higher specificity and a broader spectrum of detectable HPV types. The second part deals with the evaluation of virological markers (genotyping, viral oncoproteins expression, viral load, physical state and CpG methylation of HPV16 genome) in the diagnosis/prognosis of cervical AdCa and HPV-associated OPSCCs. HPV16 has been confirmed the most prevalent genotype in both the populations. Interestingly, the mean methylation frequency of viral DNA at the early promoter showed the tendency to be associated to invasion for cervical AdCa and to a worse prognosis for OPSCCs, suggesting a promising role as diagnostic/prognostic biomarker. The experiments of the third part were performed at the DKFZ in Heidelberg (Germany) and dealt with the analysis of the response to IFN-k transfection in HPV16-positive cervical cancer and head&neck carcinoma cell lines to evaluate its potential role as new treatment. After 24h, we observed increased IFN-b expression which lead to the up-regulation of genes involved in the antigens presentation pathway (MHC class I and immunoproteasome) and antiviral response as well, in particular in cervical cancer cell lines. This fact suggested also the presence of different HPV-mediated carcinogenic pathways between the two anatomical districts.