• A multi-sensor system for automatic analysis of classical cross-country skiing techniques 

      Seeberg, Trine Margrethe; Tjønnås, Johannes; Rindal, Ole Marius Hoel; Haugnes, Pål; Dalgard, Steffen Harald; Sandbakk, Øyvind (Journal article; Peer reviewed, 2017)
      Commercial systems utilizing data from inertial measurement units (IMUs) to analyse movement patterns have not yet been adapted to monitor daily training in cross-country (XC) skiing. The main purposes of this study are ...
    • Assessment of Basic Motions and Technique Identification in Classical Cross-Country Skiing 

      Tjønnås, Johannes; Trine, Seeberg; Rindal, Ole Marius Hoel; Haugnes, Pål; Sandbakk, Øyvind (Journal article; Peer reviewed, 2019)
      Cross-country skiing is a popular Olympic winter sport, which is also used extensively as a recreational activity. While cross-country skiing primarily is regarded as a demanding endurance activity it is also technically ...
    • Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data 

      Rindal, Ole Marius Hoel; Seeberg, Trine Margrethe; Tjønnås, Johannes; Haugnes, Pål; Sandbakk, Øyvind (Journal article; Peer reviewed, 2018)
      The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ...
    • The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability 

      Molares, Alfonso Rodrígues; Rindal, Ole Marius Hoel; D´Hooge, Jan; Måsøy, Svein-Erik; Austeng, Andreas; Bell, Muyinatu A. Lediju; Torp, Hans (Peer reviewed; Journal article, 2020)
      In the last 30 years, the contrast-to-noise ratio (CNR) has been used to estimate the contrast and lesion detectability in ultrasound images. Recent studies have shown that the CNR cannot be used with modern beamformers, ...
    • Improved Lesion Detection Using Nonlocal Means Post-Processing 

      Rindal, Ole Marius Hoel; Rodriguez-Molares, Alfonso; Måsøy, Svein-Erik; Bjåstad, Tore Grüner (Journal article; Peer reviewed, 2019)
      Software beamforming allows more flexible and complex algorithms, often referred to as adaptive beamforming techniques, that are blurring the boundaries between beamforming and image processing. Many adaptive beamforming ...
    • Sex-based differences in speed, sub-technique selection, and kinematic patterns during low- and high-intensity training for classical cross-country skiing 

      Solli, Guro Strøm; Kocbach, Jan; Seeberg, Trine Margrethe; Tjønnås, Johannes; Rindal, Ole Marius Hoel; Haugnes, Pål; Torvik, Per Øyvind; Sandbakk, Øyvind (Journal article; Peer reviewed, 2018)
      Objectives We investigated sex-based differences in speed, sub-technique selection, and kinematic patterns during low- (LIT) and high-intensity training (HIT) for classical cross-country (XC) skiing across varying terrain. ...
    • The dark region artifact in adaptive ultrasound beamforming 

      Rindal, Ole Marius Hoel; Rodriguez-Molares, Alfonso; Austeng, Andreas (Journal article; Peer reviewed, 2017)
      An undesired effect, the dark region artifact (DRA), has been under-communicated in our research community. The DRA appear next to acoustically strong targets for some of the many adaptive beamformers introduced in the ...
    • The influence of speckle statistics on contrast metrics in ultrasound imaging 

      Hverven, Stine Myhre; Rindal, Ole Marius Hoel; Rodriguez-Molares, Alfonso; Austeng, Andreas (Journal article; Peer reviewed, 2017)
      Adaptive beamformers aim for improved resolution and contrast in the ultrasound images, and their performance is typically benchmarked using metrics such as contrast ratio (CR) and contrast-to-noise ratio (CNR). Using ...
    • The UltraSound ToolBox 

      Rodriguez-Molares, Alfonso; Rindal, Ole Marius Hoel; Bernard, Olivier; Nair, Arun; Bell, Muyinatu A. Lediju; Liebgott, Herve; Austeng, Andreas; Løvstakken, Lasse (Journal article; Peer reviewed, 2017)
      We present the UltraSound ToolBox (USTB), a processing framework for ultrasound signals. USTB aims to facilitate the comparison of imaging techniques and the dissemination of research results. It fills the void of tools ...