InDEx – Industrial Data Excellence

InDEx, the Industrial Data Excellence program, was created to investigate what industrial data can be collected, shared, and utilized for new intelligent services in high-performing, reliable and secure ways, and how to accomplish that in practice in the Finnish manufacturing industry.InDEx produced several insights into data in an industrial environment, collecting data, sharing data in the value chain and in the factory environment, and utilizing and manipulating data with artificial intelligence. Data has an important role in the future in an industrial context, but data sources and utilization mechanisms are more diverse than in cases related to consumer data. Experiences in the InDEx cases showed that there is great potential in data utili zation.Currently, successful business cases built on data sharing are either company-internal or utilize an existing value chain. The data market has not yet matured, and third-party offerings based on public and private data sources are rare. In this program, we tried out a framework that aimed to securely and in a controlled manner share data between organizations. We also worked to improve the contractual framework needed to support new business based on shared data, and we conducted a study of applicable business models. Based on this, we searched for new data-based opportunities within the project consortium. The vision of data as a tradeable good or of sharing with external partners is still to come true, but we believe that we have taken steps in the right direction.The program started in fall 2019 and ended in April 2022. The program faced restrictions caused by COVID-19, which had an effect on the intensity of the work during 2020 and 2021, and the program was extended by one year. Because of meeting restrictions, InDEx collaboration was realized through online meetings. We learned to work and collaborate using digital tools and environments. Despite the mentioned hindrances, and thanks to Business Finland’s flexibility, the extension time made it possible for most of the planned goals to be achieved.This report gives insights in the outcomes of the companies’ work within the InDEx program. DIMECC InDEx is the first finalized program by the members of the Finnish Advanced Manufacturing Network (FAMN, www.famn.fi).</p

Constructing a Virtual Environment for Multibody Simulation Software Using Photogrammetry

Real-time simulation models based on multibody system dynamics can replicate reality with high accuracy. As real-time models typically describe machines that interact with a complicated environment, it is important to have an accurate environment model in which the simulation model operates. Photogrammetry provides a set of tools that can be used to create a three-dimensional environment from planar images. A created environment and a multibody-based simulation model can be combined in a Unity environment. This paper introduces a procedure to generate an accurate spatial working environment based on an existing real environment. As a numerical example, a detailed environment model is created from a University campus area

Intraventricular conduction delays as a predictor of mortality in acute coronary syndromes

BACKGROUND AND AIMS: Initial proof suggests that a non-specific intraventricular conduction delay (NIVCD) is a risk factor for mortality. We explored the prognosis of intraventricular conduction delays (IVCD) - right bundle branch block (RBBB), left bundle branch block (LBBB), and the lesser-known NIVCD - in patients with acute coronary syndrome (ACS). METHODS: This is a retrospective registry analysis of 9,749 consecutive ACS patients undergoing coronary angiography and with an ECG recording available for analysis (2007-2018). The primary outcome was cardiac mortality. Mortality and cause of death data (in ICD-10 format) were received from the Finnish national register with no losses to follow-up (until December 31, 2020). The risk associated with IVCDs was analyzed by calculating subdistribution hazard estimates (SDH; deaths due to other causes being considered competing events). RESULTS: The mean age of the population was 68.3 years (SD 11.8). The median follow-up time was 6.1 years (IQR 3.3-9.4), during which 3,156 patients died. Cardiac mortality was overrepresented among IVCD patients: 76.9% for NIVCD (n = 113/147), 67.6% for LBBB (n = 96/142), 55.7% for RBBB (n = 146/262), and 50.1% for patients with no IVCD (n = 1,275/2,545). In an analysis adjusted for age and cardiac comorbidities, the risk of cardiac mortality was significantly higher in all IVCD groups than among patients with no IVCD: SDH 1.37 (1.15-1.64, p < 0.0001) for RBBB, SDH 1.63 (1.31-2.03 p < 0.0001) for LBBB, and SDH 2.68 (2.19-3.27) for NIVCD. After adjusting the analysis with left ventricular ejection fraction, RBBB and NIVCD remained significant risk factors for cardiac mortality. CONCLUSION: RBBB, LBBB, and NIVCD were associated with higher cardiac mortality in ACS patients.publishedVersionPeer reviewe

High-risk ECG patterns in ST elevation myocardial infarction for mortality prediction

Aim: We explored the pre-intervention (first medical contact) electrocardiographic (ECG) patterns and their relation to survival among patients with acute myocardial infarction, who presented either with ST elevation (ST elevation myocardial infarction, STEMI) or LBBB, and who underwent emergent coronary angiography in a region with a 24/7/365 STEMI network. Methods: This is a retrospective analysis of 1363 consecutive patients hospitalized for first STEMI between the years 2014 and 2018. We assessed the prognostic significance of a variety of ECG categories, including location of ST elevation, severity of ischemia, intraventricular and atrioventricular conduction disorders, atrial fibrillation or flutter, junctional rhythms, heart rate, left ventricular hypertrophy and Q waves. The primary outcome was all-cause mortality between January 2014 and the end of 2020. Results: The mean age of the patients was 67.9 (SD 12.8) years. The majority were treated by percutaneous coronary intervention (93.8%, n = 1278). Median follow-up time was 3.7 years (IQR 2.5–5.1 years) during which 22.5% (n = 307) of the patients died. According to Cox regression analysis, adjusted for pre-existing conditions and age, the ECG variables with statistically significant association with survival were elevated heart rate (>100 bpm) (HR 2.34, 95% CI 1.75–3.12), atrial fibrillation or flutter (HR 1.94, 95% CI 1.41–2.67), left bundle branch block (LBBB) (HR 2.62, 95% CI 1.49–4.63) and non-specific intraventricular conduction delay (NIVCD) (HR 1.85, 95% CI 1.22–2.89). Conclusion: Higher heart rate, atrial fibrillation or flutter, LBBB and NIVCD are associated with worse outcome in all-comers with STEMI. Ischemia severity was not associated with impaired prognosis.publishedVersionPeer reviewe