Suunnitteluprosessiohje

Tämän opinnäytetyön aiheena oli suunnitteluprosessiohje. Opinnäytetyön tavoitteena oli tehdä Suomen Imurikeskus Oy:lle vakioidut toimintatavat laitteistojen suunnittelun kululle, ja selvittää mahdollinen kehitysvaihtoehto tiedonhallinnalle. Opinnäytetyössä käytiin lävitse Suomen Imurikeskus Oy:n laitteistojen valmistuksen eri vaiheita suunnittelijoiden osalta. Tämän perusteella kehitettiin vakioidut toimintatavat suunnitteluprosessiohjeeseen. Kehitysvaihtoehtona tiedonhallinnalle harkittiin Vertex Systems Oy:n Vertex Flow PDM/PLM -ohjelmistoa ja ohjelmistoon käytiin tutustumassa Vertex Systems Oy:n järjestämssä PLM-päivässä Tampereella. Lopputuloksena saatiin valmistettua Suomen Imurikeskus Oy:n käyttöön toimiva suunnitteluprosessiohje laitteistojen suunnitteluun. Suunnitteluprosessiohje sisältää ohjeistuksen laitteistojen suunnittelun eri vaiheille.The purpose of this thesis was to create engineering process manual for Suomen Imurikeskus Oy. The manual is meant to clarify the correct procedures for the process of appliance planning and alternative options for data management. In this thesis different phases of manufacturing were examined from Suomen Imurikeskus Oy’s designers point of view. Based on the thesis some standardized procedures were created for the engineering process manual. Vertex Systems' Vertex Flow PDM/PLM software was considered as an option for data management and the software was familiarized by visiting PLM-fair hosted by Vertex Systems Oy in Tampere. End result of the thesis was an engineering process manual for appliance planning to Suomen Imurikeskus Oy use. Engineering process manual includes instructions to different steps of appliance planning

Management of cardiac emergencies in women: a clinical consensus statement of the Association for Acute CardioVascular Care (ACVC), the European Association of Percutaneous Cardiovascular Interventions (EAPCI), the Heart Failure Association (HFA), and the European Heart Rhythm Association (EHRA) of the ESC, and the ESC Working Group on Cardiovascular Pharmacotherapy.

Cardiac emergencies in women, such as acute coronary syndromes, acute heart failure, and cardiac arrest, are associated with a high risk of adverse outcomes and mortality. Although women historically have been significantly underrepresented in clinical studies of these diseases, the guideline-recommended treatment for these emergencies is generally the same for both sexes. Still, women are less likely to receive evidence-based treatment compared to men. Furthermore, specific diseases affecting predominantly or exclusively women, such as spontaneous coronary dissection, myocardial infarction with non-obstructive coronary arteries, takotsubo cardiomyopathy, and peripartum cardiomyopathy, require specialized attention in terms of both diagnosis and management. In this clinical consensus statement, we summarize current knowledge on therapeutic management of these emergencies in women. Key statements and specific quality indicators are suggested to achieve equal and specific care for both sexes. Finally, we discuss several gaps in evidence and encourage further studies designed and powered with adequate attention for sex-specific analysis

European Society of Cardiology: Cardiovascular Disease Statistics 2019

Aims The 2019 report from the European Society of Cardiology (ESC) Atlas provides a contemporary analysis of cardiovascular disease (CVD) statistics across 56 member countries, with particular emphasis on international inequalities in disease burden and healthcare delivery together with estimates of progress towards meeting 2025 World Health Organization (WHO) non-communicable disease targets. Methods and results In this report, contemporary CVD statistics are presented for member countries of the ESC. The statistics are drawn from the ESC Atlas which is a repository of CVD data from a variety of sources including the WHO, the Institute for Health Metrics and Evaluation, and the World Bank. The Atlas also includes novel ESC sponsored data on human and capital infrastructure and cardiovascular healthcare delivery obtained by annual survey of the national societies of ESC member countries. Across ESC member countries, the prevalence of obesity (body mass index ≥30 kg/m2) and diabetes has increased two- to three-fold during the last 30 years making the WHO 2025 target to halt rises in these risk factors unlikely to be achieved. More encouraging have been variable declines in hypertension, smoking, and alcohol consumption but on current trends only the reduction in smoking from 28% to 21% during the last 20 years appears sufficient for the WHO target to be achieved. The median age-standardized prevalence of major risk factors was higher in middle-income compared with high-income ESC member countries for hypertension {23.8% [interquartile range (IQR) 22.5–23.1%] vs. 15.7% (IQR 14.5–21.1%)}, diabetes [7.7% (IQR 7.1–10.1%) vs. 5.6% (IQR 4.8–7.0%)], and among males smoking [43.8% (IQR 37.4–48.0%) vs. 26.0% (IQR 20.9–31.7%)] although among females smoking was less common in middle-income countries [8.7% (IQR 3.0–10.8) vs. 16.7% (IQR 13.9–19.7%)]. There were associated inequalities in disease burden with disability-adjusted life years per 100 000 people due to CVD over three times as high in middle-income [7160 (IQR 5655–8115)] compared with high-income [2235 (IQR 1896–3602)] countries. Cardiovascular disease mortality was also higher in middle-income countries where it accounted for a greater proportion of potential years of life lost compared with high-income countries in both females (43% vs. 28%) and males (39% vs. 28%). Despite the inequalities in disease burden across ESC member countries, survey data from the National Cardiac Societies of the ESC showed that middle-income member countries remain severely under-resourced compared with high-income countries in terms of cardiological person-power and technological infrastructure. Under-resourcing in middle-income countries is associated with a severe procedural deficit compared with high-income countries in terms of coronary intervention, device implantation and cardiac surgical procedures. Conclusion A seemingly inexorable rise in the prevalence of obesity and diabetes currently provides the greatest challenge to achieving further reductions in CVD burden across ESC member countries. Additional challenges are provided by inequalities in disease burden that now require intensification of policy initiatives in order to reduce population risk and prioritize cardiovascular healthcare delivery, particularly in the middle-income countries of the ESC where need is greatest

Segmenting and tracking the left ventricle by learning the dynamics in cardiac images

Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain heart conditions. Existing LV segmentation techniques are founded mostly upon algorithms for segmenting static images. In order to exploit the dynamic structure of the heart in a principled manner, we approach the problem of LV segmentation as a recursive estimation problem. In our framework, LV boundaries constitute the dynamic system state to be estimated, and a sequence of observed cardiac images constitute the data. By formulating the problem as one of state estimation, the segmentation at each particular time is based not only on the data observed at that instant, but also on predictions based on past segmentations. This requires a dynamical system model of the LV, which we propose to learn from training data through an information-theoretic approach. To incorporate the learned dynamic model into our segmentation framework and obtain predictions, we use ideas from particle filtering. Our framework uses a curve evolution method to combine such predictions with the observed images to estimate the LV boundaries at each time. We demonstrate the effectiveness of the proposed approach on a large set of cardiac images. We observe that our approach provides more accurate segmentations than those from static image segmentation techniques, especially when the observed data are of limited quality