Blar i Institutt for nevromedisin og bevegelsesvitenskap på forfatter "Ullrich, Martin"

Viser treff 1-5 av 5

    • Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium 

      Micó-Amigo, M. Encarna; Bonci, Tecla; Paraschiv-Ionescu, Anisoara; Ullrich, Martin; Kirk, Cameron; Soltani, Abolfazl; Küderle, Arne; Gazit, Eran; Salis, Francesca; Alcock, Lisa; Aminian, Kamiar; Becker, Clemens; Bertuletti, Stefano; Brown, Philip; Buckley, Ellen; Cantu, Alma; Carsin, Anne-Elie; Caruso, Marco; Caulfield, Brian; Cereatti, Andrea; Chiari, Lorenzo; D’Ascanio, Ilaria; Eskofier, Bjoern; Fernstad, Sara; Froehlich, Marcel; Garcia-Aymerich, Judith; Hansen, Clint; Hausdorff, Jeffrey M.; Hiden, Hugo; Hume, Emily; Keogh, Alison; Kluge, Felix; Koch, Sarah; Maetzler, Walter; Megaritis, Dimitrios; Mueller, Arne; Niessen, Martijn; Palmerini, Luca; Schwickert, Lars; Scott, Kirsty; Sharrack, Basil; Sillén, Henrik; Singleton, David; Vereijken, Beatrix; Vogiatzis, Ioannis; Yarnall, Alison J.; Rochester, Lynn; Mazzà, Claudia; Del Din, Silvia (Peer reviewed; Journal article, 2023)
      Background Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper ...

    • Consensus based framework for digital mobility monitoring 

      Kluge, Felix; Del Din, Silvia; Cereatti, Andrea; Gassner, Heiko; Hansen, Clint; Helbostad, Jorunn L.; Klucken, Jochen; Küderle, Arne; Müller, Arne; Rochester, Lynn; Ullrich, Martin; Eskofier, Bjoern M.; Mazzà, Claudia (Peer reviewed; Journal article, 2021)
      Digital mobility assessment using wearable sensor systems has the potential to capture walking performance in a patient’s natural environment. It enables monitoring of health status and disease progression and evaluation ...

    • Design and validation of a multi-task, multi-context protocol for real-world gait simulation 

      Scott, Kirsty; Bonci, Tecla; Salis, Francesca; Alcock, Lisa; Buckley, Ellen; Gazit, Eran; Hansen, Clint; Schwickert, Lars; Aminian, Kamiar; Bertuletti, Stefano; Caruso, Marco; Chiari, Lorenzo; Sharrack, Basil; Maetzler, Walter; Becker, Clemens; Hausdorff, Jeffrey M.; Vogiatzis, Ioannis; Brown, Philip; Del Din, Silvia; Eskofier, Björn; Paraschiv-Ionescu, Anisoara; Keogh, Alison; Kirk, Cameron; Kluge, Felix; Micó-Amigo, Encarna M.; Mueller, Arne; Neatrour, Isabel; Niessen, Martijn; Palmerini, Luca; Sillen, Henrik; Singleton, David; Ullrich, Martin; Vereijken, Beatrix; Froehlich, Marcel; Brittain, Gavin; Caulfield, Brian; Koch, Sarah; Carsin, Anne-Elie; Garcia-Aymerich, Judith; Kuederle, Arne; Yarnall, Alison; Rochester, Lynn; Cereatti, Andrea; Mazzà, Claudia (Peer reviewed; Journal article, 2022)
      Background Measuring mobility in daily life entails dealing with confounding factors arising from multiple sources, including pathological characteristics, patient specific walking strategies, environment/context, and ...

    • Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases 

      Romijnders, Robbin; Salis, Francesca; Hansen, Clint; Küderle, Arne; Paraschiv-Ionescu, Anisoara; Cereatti, Andrea; Alcock, Lisa; Aminian, Kamiar; Becker, Clemens; Bertuletti, Stefano; Bonci, Tecla; Brown, Philip; Buckley, Ellen; Cantu, Alma; Carsin, Anne-Elie; Caruso, Marco; Caulfield, Brian; Chiari, Lorenzo; D'Ascanio, Ilaria; Del Din, Silvia; Eskofier, Björn; Fernstad, Sara Johansson; Fröhlich, Marceli Stanislaw; Garcia Aymerich, Judith; Gazit, Eran; Hausdorff, Jeffrey M.; Hiden, Hugo; Hume, Emily; Keogh, Alison; Kirk, Cameron; Kluge, Felix; Koch, Sarah; Mazzà, Claudia; Megaritis, Dimitrios; Micó-Amigo, Encarna; Müller, Arne; Palmerini, Luca; Rochester, Lynn; Schwickert, Lars; Scott, Kirsty; Sharrack, Basil; Singleton, David; Soltani, Abolfazl; Ullrich, Martin; Vereijken, Beatrix; Vogiatzis, Ioannis; Yarnall, Alison; Schmidt, Gerhard; Maetzler, Walter (Peer reviewed; Journal article, 2023)
      Introduction: The clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis is shifting ...

    • Technical validation of real-world monitoring of gait: A multicentric observational study 

      Mazzà, Claudia; Alcock, Lisa; Aminian, Kamiar; Becker, Clemens; Bertuletti, Stefano; Bonci, Tecla; Brown, Philip; Brozgol, Marina; Buckley, Ellen; Carsin, Anne-Elie; Caruso, Marco; Caulfield, Brian; Cereatti, Andrea; Chiari, Lorenzo; Chynkiamis, Nikolaos; Ciravegna, Fabio; Del Din, Silvia; Eskofier, Bjoern M.; Evers, Jordi; Garcia-Aymerich, Judith; Gazit, Eran; Hansen, Clint; Hausdorff, Jeffrey M.; Helbostad, Jorunn L.; Hiden, Hugo; Hume, Emily; Paraschiv-Ionescu, Anisoara; Ireson, Neil; Keogh, Alison; Kirk, Cameron; Kluge, Felix; Koch, Sarah; Küderle, Arne; Lanfranchi, Vitaveska; Maetzler, Walter; Micó-Amigo, M Encarna; Mueller, Arne; Neatrour, Isabel; Niessen, Martijn; Palmerini, Luca; Pluimgraaff, Lucas; Reggi, Luca; Salis, Francesca; Schwickert, Lars; Scott, Kirsty; Sharrack, Basil; Sillen, Henrik; Singleton, David; Soltani, Abolfazi; Taraldsen, Kristin; Ullrich, Martin; Van Gelder, Linda; Vereijken, Beatrix; Vogiatzis, Ioannis; Warmerdam, Elke; Yarnall, Alison; Rochester, Lynn (Journal article; Peer reviewed, 2021)