Beobachtungsstudien im Rahmen eines naturheilkundlichen Klinikverbunds :Teil I: Methoden und Übersicht der Ergebnisse in den beteiligten Kliniken

Background: In Germany a considerable number of in-patient facilities offer complementary medicine in addition to conventional care. In this study we aimed to describe patient characteristics, diagnostics, therapy and outcomes of four such in-patient facilities. Methods: 2835 consecutive in-patients admitted to two private hospitals with an emphasis on complementary medical cart, one private hospital for traditional Chinese medicine, and the Department of Complementary Medicine of a public district hospital participated in a prospective observational (cohort) study with 12 months follow-up. Sociodemographic characteristics, diagnoses, duration of disease, type and frequency of therapeutic interventions, intensity of complaints, assessment of therapeutic success, and quality of life were documented. Results: Patients of the observed hospitals were mostly female (66%-80% in the four hospitals) and a high proportion was chronically ill (31%-62% with a disease history longer than 5 years). The frequency of single diagnoses varied strongly between the four hospitals, however, chronic pain syndromes were very frequent in all. Complementary care always included a large number of different therapeutic methods whose combination varied with different diagnoses and between the hospitals. At discharge, 57%-73% of patients rated the therapeutic success as good or very good, Follow-up rates were satisfactory only in two of the four hospitals. After 12 months 51%-64% of the responding patients still rated the success as good or very good. Conclusions: In the observed hospitals mainly chronically ill patients are treated with highly complex combinations of a large variety of complementary therapies. A majority of patients seems to be satisfied by the treatment. A major methodological problem in the interpretations of patient outcomes are the partly low followup rates

Presenting a Holistic Framework for Scalable, Marker-less Motion Capturing: Skeletal Tracking Performance Analysis, Sensor Fusion Algorithms and Usage in Automotive Industry

Even though there is promising technological progress, input is currently still one of virtual reality's biggest issues. Off-the-shelf depth cameras have the potential to resolve these tracking problems. These sensors have become common in several application areas due to their availability and affordability. However, various applications in industry and research still require large-scale tracking systems e.g. for interaction with virtual environments. As single depth-cameras have limited performance in this context, we propose a novel set of methods for multiple depth-camera registration and heuristic-based sensor fusion using skeletal tracking. An in-depth accuracy analysis of Kinect v2 skeletal tracking is presented in which a robot moves a mannequin for accurate, reproducible motion paths. Based on the results of this evaluation, a distributed and service-oriented marker-less tracking system consisting of multiple Kinect v2 sensors is developed for real-time interaction with virtual environments. Evaluation shows that this approach helps in increasing tracking areas, resolving occlusions and improving human posture analysis. Additionally, an advanced error prediction model is proposed to further improve skeletal tracking results. The overall system is evaluated by using it for realistic ergonomic assessments in automotive production verification workshops. It is shown that performance and applicability of the system is suitable for the use in automotive industry and may replace conventional high-end marker-based systems partially in this domain

Beobachtungsstudien im Rahmen eines naturheilkundlichen Klinikverbunds :Teil I: Methoden und Übersicht der Ergebnisse in den beteiligten Kliniken

Background: In Germany a considerable number of in-patient facilities offer complementary medicine in addition to conventional care. In this study we aimed to describe patient characteristics, diagnostics, therapy and outcomes of four such in-patient facilities. Methods: 2835 consecutive in-patients admitted to two private hospitals with an emphasis on complementary medical cart, one private hospital for traditional Chinese medicine, and the Department of Complementary Medicine of a public district hospital participated in a prospective observational (cohort) study with 12 months follow-up. Sociodemographic characteristics, diagnoses, duration of disease, type and frequency of therapeutic interventions, intensity of complaints, assessment of therapeutic success, and quality of life were documented. Results: Patients of the observed hospitals were mostly female (66%-80% in the four hospitals) and a high proportion was chronically ill (31%-62% with a disease history longer than 5 years). The frequency of single diagnoses varied strongly between the four hospitals, however, chronic pain syndromes were very frequent in all. Complementary care always included a large number of different therapeutic methods whose combination varied with different diagnoses and between the hospitals. At discharge, 57%-73% of patients rated the therapeutic success as good or very good, Follow-up rates were satisfactory only in two of the four hospitals. After 12 months 51%-64% of the responding patients still rated the success as good or very good. Conclusions: In the observed hospitals mainly chronically ill patients are treated with highly complex combinations of a large variety of complementary therapies. A majority of patients seems to be satisfied by the treatment. A major methodological problem in the interpretations of patient outcomes are the partly low followup rates

The epoxyeicosatrienoic acid pathway enhances hepatic insulin signaling and is repressed in insulin-resistant mouse liver.

While it is widely accepted that ectopic lipid accumulation in the liver is associated with hepatic insulin resistance, the underlying molecular mechanisms have not been well characterized. Here we employed time resolved quantitative proteomic profiling of mice fed a high fat diet to determine which pathways were affected during the transition of the liver to an insulin-resistant state. We identified several metabolic pathways underlying altered protein expression. In order to test the functional impact of a critical subset of these alterations, we focused on the epoxyeicosatrienoic acid (EET) eicosanoid pathway, whose deregulation coincided with the onset of hepatic insulin resistance. These results suggested that EETs may be positive modulators of hepatic insulin signaling. Analyzing EET activity in primary hepatocytes, we found that EETs enhance insulin signaling on the level of Akt. In contrast, EETs did not influence insulin receptor or insulin receptor substrate-1 phosphorylation. This effect was mediated through the eicosanoids, as overexpression of the deregulated enzymes in absence of arachidonic acid had no impact on insulin signaling. The stimulation of insulin signaling by EETs and depression of the pathway in insulin resistant liver suggest a likely role in hepatic insulin resistance. Our findings support therapeutic potential for inhibiting EET degradation

Virtual and Real Body Experience Comparison Using Mixed Reality Cycling Environment

Part 1: Full PapersInternational audienceDifferent solutions present the usage of bicycles with Head Mounted Display (HMD) in which virtual scenarios are visualized as background for athletes training or as cardiac patient rehabilitation systems. However, assessments on presence, degrees of immersion and user involvement with real bicycles in those virtual scenarios still are rare. In this paper we present a haptic interface of a real bicycle using HMDs as a mixed reality display using a procedural city as a background scenario. To measure and evaluate presence, two experiments had been conducted. One that simulates a virtual reality mode and a second that corresponds to a mixed reality mode. By think aloud method, it was possible to analyze the degree of presence, through control, focus, immersion and involvement factors. Six of the seven participants described that immersion is augmented as well as the feeling of presence in the mixed reality interface, feeling a better experience with the improvement of movements. Issues related to comfort and the visual graphic were also evaluated with some results on the stimulus that also opens new possibilities for future works in different areas

Pedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (Lidar)

A pedestrian network is a topological map that contains the geometric relationship between pedestrian path segments (e.g., sidewalk, crosswalk, footpath), which is needed in a variety of applications, such as pedestrian navigation services. However, current pedestrian networks are not widely available. In an effort to provide an automatic means for creating pedestrian networks, this paper presents a methodology for extracting pedestrian network from aerial and laser images. The methodology consists of data preparation and four steps: object filtering, pedestrian path region extraction, pedestrian network construction, and raster to vector conversion. An experiment, using ten images, was conducted to evaluate the performance of the methodology. Evaluation results indicate that the methodology can extract sidewalk, crosswalk, footpath, and building entrances; it collects pedestrian networks with 61 percent geometrical completeness, 67.35 percent geometrical correctness, 71 percent topological completeness and 51.38 percent topological correctness. © 2013 American Society for Photogrammetry and Remote Sensing