Author: Alma

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

Romijnders, R., Salis, F., Hansen, C., Küderle, A., Paraschiv-Ionescu, A., Cereatti, A., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Bonci, T., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Chiari, L., D’Ascanio, I., Del Din, S., Eskofier, B., Johansson Fernstad, S., Fröhlich, M. S., Garcia Aymerich, J., Gazit, E., Hausdorff, J. M., Hiden, H., Hume, E., Keogh, A., Kirk, C., Kluge, F., Koch, S., Mazzà, C., Megaritis, D., Micó-Amigo, E., Müller, A., Palmerini, L., Rochester, L., Schwickert, L., Scott, K., Sharrack, B., Singleton, D., Soltani, A., Ullrich, M., Vereijken, B., Vogiatzis, I., Yarnall, A., Schmidt, G., Maetzler, W. (2023). Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Frontiers in Neurology, 14, 1247532. https://doi.org/10.3389/fneur.2023.1247532

Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study

Kirk, C., Kuederle, A., Mico-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Cereatti, A., Chiari, L., D’Ascanio, I., Garcia-Aymerich, J., Hansen, C., Hausdorff, J., Hiden, H., Hume, E., Keogh, A., Kluge, F., Koch, S., Maetzler, W., Megaritis, D., Mueller, A., Niessen, M., Palmerini, L., Schwickert, L., Scott, K., Sharrack, B., Sillen, H., Singleton, D., Vereijken, B., Vogiatzis, I., Yarnall, A., Rochester, L., Mazza, C., Eskofier, B., & Del Din, S. (2023). Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study. https://doi.org/10.21203/rs.3.rs-2965670/v1

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

Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A., Küderle, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Cereatti, A., Chiari, L., D’Ascanio, I., Eskofier, B., Fernstad, S., Froehlich, M., Garcia-Aymerich, J., Hansen, C., Hausdorff, J. M., Hiden, H., Hume, E., Keogh, A., Kluge, F., Koch, S., Maetzler, W., Megaritis, D., Mueller, A., Niessen, M., Palmerini, L., Schwickert, L., Scott, K., Sharrack, B., Sillén, H., Singleton, D., Vereijken, B., Vogiatzis, I., Yarnall, A. J., Rochester, L., Mazzà, C., & Del Din, S. (2023). Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. Journal of NeuroEngineering and Rehabilitation, 20(1), 78. https://doi.org/10.1186/s12984-023-01198-5

Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes

Cantu, A., Micó-Amigo, M. E., Del Din, S., & Fernstad, S. J. (2023). Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 21–30. https://doi.org/10.1109/PacificVis56936.2023.00010

Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study

Ruddle, R. A., Cheshire, J., & Johansson Fernstad, S. (2023). Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2023.3234337

Publication successes!

Two recent publication successes for NoVA members!

  • Alma Cantu, Maria Encarna Mićo-Amigo, Silvia Del Din, Sara Johansson Fernstad (2023) Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: application to digital mobility outcomes. PacificVis conference.
  • Ruddle, R. A., Cheshire, J., & Johansson Fernstad, S. (2023). Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study. IEEE Transactions on Visualization and Computer Graphics