Immersive technologies as a solution for general data protection regulation in Europe and impact on the COVID-19 pandemic

Background: General data protection regulation (GDPR) provides rules according to which datashould be managed and processed in a secure and appropriate way for patient requirements and security.Currently, everyone in Europe is covered by GDPR. Thus, the medical practice also requires accessto patient data in a safe and secure way.Methods: Holographic technology allows users to see everything visible on a computer screen in a newand less restricted way, i.e. without the limitations of traditional computers and screens.Results: In this study, a three-dimensional holographic doctors’ assistant is designed and implementedin a way that meets the GDPR requirements. The HoloView application, which is tailored to run onMicrosoft HoloLens, is proposed toallow display and access to personal data and so-called sensitiveinformation of all individual patients without the risk that it will be presented to unauthorized persons.Conclusions: To enhance the user experience and remain consistent with GSPR, a holographic deskis proposed that allows displaying patient data and sensitive information only in front of the doctor’seyes using mixed reality glasses. Last but not least, it boasts of a reduction in infection risk for the staffduring the COVID-19 pandemic, affording medical care to be carried out by as few doctors as possible

Multimodality imaging of intermediate lesions: Data from fractional flow reserve, optical coherence tomography, near-infrared spectroscopy-intravascular ultrasound

  Background: Fractional flow reserve (FFR) assesses a functional impact of the atheroma on the myocardial ischemia, but it does not take into account the morphology of the lesion. Previous optical coherence tomography (OCT), intravascular ultrasound (IVUS) and near-infrared spectroscopy (NIRS) studies presented their potential to detect vulnerable plaques, which is not possible by FFR assessment. With the following study, the intermediate lesions were assessed by FFR, OCT and combined NIRS-IVUS imaging to identify plaque vulnerability. Methods: Thirteen intermediate lesions were analyzed simultaneously by FFR, OCT and combined NIRS-IVUS imaging. Results: Two lesions were found to have FFR ≤ 0.80 (0.65 and 0.76). The other 11 lesions had FFR > 0.80 with a mean FFR 0.88 ± 0.049. Two lesions with FFR ≤ 0.80 had plaque burden (PB) > 70% and minimal lumen area (MLA) < 4 mm2, but neither of these 2 lesions were identified as OCT de­fined thin fibrous cap atheroma (TCFA), or NIRS-IVUS possible TCFA. Among the other 11 lesions with FFR > 0.80, 8 were identified as OCT-defined TCFA, 4 had PB > 70%, 6 had MLA < 4 mm2, 2 had both PB > 70% and MLA < 4 mm2, 3 lesions were identified as NIRS-IVUS possible TCFA, and 4 lesions had lipid core burden index > 400. Conclusions: The FFR-negative lesions pose traits of vulnerability as assessed simultaneously by IVUS, OCT and NIRS imaging.

Identification of human vital functions based on selected cardiac and respiratory signals

Promotor: Piotr Augustyniak.Recenzent: Grażyna Demenko, Irena Roterman-Konieczna.Niepublikowana praca doktorska.Tyt. z ekranu tyt.Praca doktorska. AGH University of Science and Technology. Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 2014.Zawiera bibliogr.Dostępna również w wersji drukowanej.Tryb dostępu: Internet.Telemedicine and remote monitoring of patients, monitoring of cardiovascular diseases, identification of selected human vital function – breathing disorders, specific methods for identification of sleep disorders, physiological background, anatomy and physiology of the heart, anatomy and physiology of the vocal tract, new method of monitoring of human sleep at home, idea of the ECG/acoustic based sleep analysis system, acquisition of the ECG signal, acquisition of the acoustic signal, characterizing of cardiac parameters variability, commonly used HRV parameters, implementation of HRV calculation procedures, estimating the respiration from ECG variations, implementation of EDR procedure, characterizing of respiratory parameters variability, diagnostic parameters of the vocal tract, voice recognition procedure, selected methods of voice feature extraction, time domain analysis, frequency domain analysis, acoustic analysis in time-frequency domain, Mel Frequency Cepstral Coefficients, implementation of acoustic analysis procedures, sleep recording and scoring at home, statistical analysis methods used in sleep analysis system verification, statistical analysis, Tukey's Honestly Significant Difference HSD Test, logistic regression, Receiver Operating Characteristic, data mining with Random Forests, experimental results, statistical data analysis, data mining classification with constructed Random Forests model